Member State report / Art8 / 2018 / D1-B / Portugal / NE Atlantic: Macaronesia

Report type Member State report to Commission
MSFD Article Art. 8 Initial assessment (and Art. 17 updates)
Report due 2018-10-15
GES Descriptor D1 Birds
Member State Portugal
Region/subregion NE Atlantic: Macaronesia
Reported by DGRM
Report date 2021-03-03
Report access ART8_GES_PT_setembro2020.xml

Azores Subdivision (AMA-PT-SD-AZO)

GES component
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
Feature
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Element
Bulweria bulwerii
Bulweria bulwerii
Bulweria bulwerii
Bulweria bulwerii
Bulweria bulwerii
Bulweria bulwerii
Calonectris borealis
Calonectris borealis
Calonectris borealis
Calonectris borealis
Calonectris borealis
Calonectris borealis
Puffinus lherminieri
Puffinus lherminieri
Puffinus lherminieri
Puffinus lherminieri
Puffinus lherminieri
Puffinus lherminieri
Hydrobates castro
Hydrobates castro
Hydrobates castro
Hydrobates castro
Hydrobates castro
Hydrobates castro
Hydrobates monteiroi
Hydrobates monteiroi
Hydrobates monteiroi
Hydrobates monteiroi
Hydrobates monteiroi
Hydrobates monteiroi
Sterna dougallii
Sterna dougallii
Sterna dougallii
Sterna dougallii
Sterna dougallii
Sterna dougallii
Sterna hirundo
Sterna hirundo
Sterna hirundo
Sterna hirundo
Sterna hirundo
Sterna hirundo
Element code
137193
137193
137193
137193
137193
137193
1348497
1348497
1348497
1348497
1348497
1348497
212633
212633
212633
212633
212633
212633
A874
A874
A874
A874
A874
A874
A884
A884
A884
A884
A884
A884
137160
137160
137160
137160
137160
137160
137162
137162
137162
137162
137162
137162
Element code source
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://dd.eionet.europa.eu/vocabulary/biodiversity/n2000birds/view
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Element 2
Element 2 code
Element 2 code source
Element source
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
Criterion
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
D1C1
D1C2
D1C3
D1C3
D1C4
D1C5
Parameter
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Mortality rate / Mortality rate from fishing (F)
Abundance
Fecundity rate
Survival rate
Distribution (range)
Parameter other
Threshold value upper
70.0
45.7
0.9
1.0
188000.0
0.9
0.9
0.9
250.0
0.9
0.9
0.9
Threshold value lower
50.0
300.0
Threshold qualitative
Threshold value source
Other (specify)
Birds Directive (79/409/EEC)
Other (specify)
Other (specify)
Birds Directive (79/409/EEC)
Other (specify)
MS(sub)region
MS(sub)region
Other (specify)
Birds Directive (79/409/EEC)
MS(sub)region
Birds Directive (79/409/EEC)
MS(sub)region
MS(sub)region
MS(sub)region
Birds Directive (79/409/EEC)
MS(sub)region
Other (specify)
Birds Directive (79/409/EEC)
Other (specify)
Birds Directive (79/409/EEC)
Other (specify)
Birds Directive (79/409/EEC)
Other (specify)
Other (specify)
Other (specify)
Other (specify)
Other (specify)
Other (specify)
Other (specify)
Other (specify)
Threshold value source other
MISIC SEAS II
MISIC SERAS II project
MISIC SERAS II project
MISIC SEAS II
MISIC SEAS II
MISIC SERAS II project
MISIC SEAS II
MISIC SERAS II project
MISIC SEAS II
MONIAAVES
MISIC SERAS II project
MONIAAVES
MISIC SEAS II
MONIAAVES
MISIC SERAS II project
MONIAAVES
Value achieved upper
70.0
70.0
188000.0
1741.0
740.0
391.0
1068.0
3411.0
Value achieved lower
50.0
895.0
665.0
361.0
535.0
2419.0
Value unit
Other
Other
Other
Other
(number of) individuals
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Value unit other
Number of individuals cautioned
Female Breeds
%
Number of individuals cautioned
Number of individuals cautioned
Female Breeds
Number of individuals cautioned
Female Breeds
Number of individuals cautioned
Female Breeds
Number of individuals cautioned
Female Breeds
Number of individuals cautioned
Female Breeds
Proportion threshold value
Proportion value achieved
Proportion threshold value unit
Trend
Stable
Unknown
Unknown
Unknown
Unknown
Stable
Unknown
Unknown
Unknown
Unknown
Stable
Unknown
Unknown
Unknown
Unknown
Stable
Unknown
Unknown
Unknown
Unknown
Stable
Unknown
Unknown
Unknown
Unknown
Stable
Unknown
Unknown
Unknown
Unknown
Stable
Unknown
Unknown
Unknown
Unknown
Parameter achieved
Yes
Unknown
Unknown
Unknown
Unknown
Yes
Unknown
Unknown
Unknown
Unknown
Yes
Unknown
Unknown
Unknown
Unknown
Yes
Unknown
Unknown
Unknown
Unknown
Yes
Unknown
Unknown
Unknown
Unknown
Yes
Unknown
Unknown
Unknown
Unknown
Yes
Unknown
Unknown
Unknown
Unknown
Description parameter
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Mantém-se a estimativa populacional total dos Açores de cerca de 50-70 casais reprodutores, conforme Monteiro et al. (1999): 50 no ilhéu Vila, em Santa Maria, 0-10 no ilhéu de Baixo e 0-10 no ilhéu da Praia, na Graciosa. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp. Monteiro, L.R., Ramos, J. A., Pereira, J. C., Monteiro, P. R., Feio, R. S.., Thompson, D. R. Bearhop, S., Furness, R. W., Laranjo, M., Hilton, G., Neves, V. C., Groz, M. P. & Thompson, K. R. 1999. Status and distribuition of Fea's Petrel, Bulwer's Petrel, Manx Shearwater, Little Shearwater and Band-rumped Storm-Petrel in the Azores Archipelago. Waterbirds 22: 358-366 Nunes, M. (2008). Bulweria bulwerii. In Equipa Atlas (eds.): Atlas das Aves Nidificantes em Portugal (1999-2005). Pp. 116-117. Instituto de Conservação da Natureza e Biodiversidade, Sociedade Portuguesa para o Estudo das Aves, Parque Natural da Madeira, Secretaria Regional do Ambiente e do Mar. Assírio & Alvim, Lisboa.
The relevant parameter is the breeding success rather than the fertility rate and was only estimated for the Illéu do Vila. This is a colony free colony with an average breeding success from 2002-2012 of 45.7 % (J. Briged, unpublished data), defined as a reference for this colony/species. A 70 % breeding success was estimated during MISTIC SEAS II (2017). Breeding success cannot be compared to the pre-sampling period due to methodological differences. A larger time series is needed to assess GES, applying the same methodology (MISIC SEAS II Consortium, 2018). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
A taxa de sobrevivência atual ainda não foi calculada e não existe um valor de referência. Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
The same known breeding colonies as identified by Monteiro et al. (1999): Vila in Santa Maria, Baixo do magie de Praia na Graciosa. The Azores Azores breeding population is only monitored on the island of Vila, Santa Maria, which houses the largest known population of the archipelago and where the University of Açores had a regular follow up between 2002 and 2012 (J. Briged, unpublished data). From 2013, some occasional visits took place. Furthermore, Monteiro et al (1999) also identified the lowtech island and the Praia island of Praia, in Graciosa, as potential colonies (with < 10 breeding pairs each), and the reproduction was confirmed in 2017 by SPEA, the Baixo Ehora in the context of the MISC SEAS II project and, in 2019, by Neves (unpublished data), in Praia. The Atlas team. 2008. Atlas of Birds Nirentes in Portugal (1999-2005). Instituto da Conservação da Natureza (Instituto da Conservação da Natureza), Sociedade Portuguesa (Instituto da Conservação da Natureza), a Portuguese Society for the Study of Birds, the Madeira Nature Park and the Regional Secretariat for the Environment and the Sea. Assyrian
MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
The total population estimate for the Azores of around 188 000 breeding pairs is maintained, according to Monteiro et al. (1999) and Bolton (2011). Counts were made in some nesting colonies in the research work of the marine bird group of the University of the Azores and the SEAS project, but which do not allow the total population to be estimated. Bolton, M. (2001a). Cesssus of Corylus? s shell waters Calonectris diomedea in the Azres archipago 2001. Final Report. University of the Azres. Bolton, M. (2001b). Development and Evaluation of techniques for Monitoring Threatend Procelliidform Seas in the Azres Archipelago. Final Report. Department of Oceanography and Fisheries, University of Azores, Horta. Feio, R. (1997). Use of liferafts on the Cargo Calonectris diomedea population borealis (Cory, 1881) in the Azores. University of the Algarve, Faro. Monteiro LR, JA Ramos, RW Furness. 1996. Present and Presence Status and Conservation of the Seas Breeding in the Azres Archipago. Biological Conservation. 78, 319-328.
The breeding success on Corvo island has been estimated at 39 % between 2009 and 2011 (Hervíos et al., 2013). The current breeding success (2015-2018, SPEA, unpublished data) is also 39 %. A breeding success of 81.5 % (2018) based on the monitoring of the 37 selected nests was calculated in the free colony of the Ilha of Vila Franca da Campo, São Miguel, during MISTIC SEAS II. During the MISIC SEAS II, a breeding success of 57 % (2017-2018) was estimated for the Monte colony and 65 % in 2017 for the Spanish Ministry of Prague. The estimate for the Ilha colony of Vila is 58.6 %, obtained from 2003 to 2008 (Fontaine et al., 2011) and the last estimate, during MISTIC SEI II was 83 % (year 2018). During the LuMinves project, a breeding success was estimated at 87 % in 2018 for Capelinhos colony and 93 % in 2017 and 81 % in 2018 in the Castelo Branco colony. A number of abnormally high values obtained using MISIC SEAS II should be reassessed at the end of the next cycle of 6 years? consecutive colony monitoring. Hervíos, S., Henriques A., Oliveira N., Pipa T., Cowen H., Ramos J.A., Nogales M., Geraldes P., Silva C., Ruiz de Ybáñez R., Oppel S. 2013. Studying the effects of multiple invasive Mammals on Corynebacterium? Shearwater nest surgery. Biological Invasions. 15, 143-155. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
A taxa de sobrevivência atual ainda não foi calculada. O valor de referência da taxa de sobrevivência foi estabelecido utilizando dados compilados entre 2002 e 2008, por Fontaine et al. (2011) (Taxa de sobrevivência = 0,934). Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. Fontaine, R., Gimenez, O. & Bried, J. 2011. The impact of introduced predators, lightinduced mortality of fledglings and poaching on the dynamics of the Cory's Shearwater (Calonectris diomedea) population from the Azores, northeastern subtropical Atlantic. Biological Conservation 144: 1998-2011.; MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
As colónias nidificantes de cagarro distribuem-se ao longo da costa das ilhas e nos ilhéus por todo o Arquipélago dos Açores. Bolton, M. (2001a). Census of Cory's shearwaters Calonectris diomedea in the Azores archipelago 2001. Final Report. University of the Azores. Magalhães MC 2008. Calonectris diomedea Cagarra In Atlas das Aves Nidificantes em Portugal (1999-2005) (Equipa Atlas eds.). Instituto da Conservação da Natureza, Sociedade Portuguesa para o Estudo das Aves, Parque Natural da Madeira e Secretaria Regional do Ambiente e do Mar. Assírio & Alvim. Lisboa. Monteiro LR, JA Ramos, RW Furness. 1996. Past and Present Status and Conservation of the Seabirds Breeding in the Azores Archipelago. Biological Conservation. 78, 319 – 328. Paiva VH, Geraldes P, Ramírez I, Meirinho A, Garthe S, Ramos JA (2010) Oceanographic characteristics of areas used by Cory’s shearwaters during short and long foraging trips in the North Atlantic. Mar Biol 157:1385−1399
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Alvim, Lisbon.
O parâmetro em causa é o sucesso reprodutor e não a taxa de fecundidade e foi apenas estimado para as colónias do Ilhéu da Praia, Graciosa (64%) e do Ilhéu da Vila, Santa Maria (50%), durante o MISTIC SEAS II. Estes valores foram utilizados como o valor de referência para futuras avaliações. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
A taxa de sobrevivência atual ainda não foi calculada e não existe um valor de referência. O valor de referência de taxa de sobrevivência foi estabelecido utilizando dados recolhidos entre 1998 e 2005 por Precheur et al. (2016) (Taxa de sobrevivência = 0,943). Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Não se detetou captura acidental no POPA (Cooper et al., 2003, MISTIC SEAS II Consortium, 2018). MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Roughhead grenadier J.P. (2008). Oceanodroma castro. In (eds.): Atlas of Birds Nirentes in Portugal (1999-2005). PP 126
The parameter concerned is the breeding success rather than the fertility rate and was only estimated for the colonies of the Ihoral province of Praia, Graciosa and Illéda Vila, Santa Maria. In the island of Vila, breeding success was estimated at 39.7 % between 2002 and 2012 (J. Briged, unpublished data). Therefore, this was the value used as a reference for this criterion. The most up-to-date monitoring carried out during the MISIC SEAS II project resulted in a breeding success of 73 % in the Illéu do Vila. In Praia the breeding success was estimated on average at 63 % in artificial nests and 46 % on natural nests (years 2000, 2002, 2004, 2005, 2007, 2008 and 2011, Brited and Neves, 2015). The monitoring carried out during the MISIC SEAS II project has produced a breeding success of 83 % (2017-2018). This figure appears to be abnormally high (J. Briged, personal communication). Neves and collaborators (W. Schäfer, T. Karwinkel, L. Gomes, T. Châtelauron, J. Taylor-Bruce and M. AUSTAD, MARE ? UID/MAR/04292/2013 and German Ornithologists? Society), at work carried out between 26 October 2018 and 18 February 2019, found 93 breeding attempts in artificial nests with a breeding success of 54.8 % (minimum). At the date of the last check (11 March 2019) there were still 3 pups of pine wood in nests. If they have become voting, breeding success may have reached a maximum of 58.1 % in 2019 (V. Neves, personal communication). A longer time series is needed to properly assess this criterion (MISIC SEAS II Consortium, 2018). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Monteiro et al. (1999) estimated 8 colonies in the Azores. The population size has been estimated during the 90s between 665 and 740 breeding pairs, of which 440-480 are located on the island of Graciosa (200 on the island of Praia, 200 on the Baixa island, 40-80 on the island of Ponta do Barca ? Balia island), 5-10 on the island of São Jorge (on the splitter island), 0-10 on the island of São Miguel (Vila Franca do Campo), 220-245 on the island of São Miguel (Vila Franca do Campo), 200-0 on the island of Santa Maria (5 on the island of Vila, 20-40 in the Northern Island, 1999- in the Malsearch) (Monteiro et al.,). However, the numbers in Praia could have increased since 2001 due to the installation of artificial nests (Briged et al., 2009
MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Bolton et al., 2008)
In Praia, the breeding success was about 41 % in natural nests and 46 % in artificial nests between 2000-2012 (on average, except for 2002, Brited and Neves, 2015). Neves and collaborators (W. Schäfer, T. Karwinkel, L. Gomes, T. Châtelauron, J. Taylor-Bruce and M. AUSTAD, MARE ? UID/MAR/04292/2013 and German Ornithologists? Society), at work in the field between 4 June and 16 August 2018, found 65 breeding attempts in artificial nests with a breeding success of 33.8 %. Of the 41 pups that have hatched in artificial nests, 22 have become flying and 19 died, with more than 50 % of the mortality caused by ants of the species Lasius grandis and Monomorium carbonarium (V. Neves, personal communication). Refined, J.
A taxa de sobrevivência atual ainda não foi calculada, mas o valor de referência de 0,97 calculada por Robert et al. (2012) foi utilizado. Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
The Monteiro mill has a small population and nesting restricted to five known colonies: Praia islet, Ilhéu de Baixo and Ponta da Barca – Baleia islet (Graciosa); seated eyelet, Alagoa (Flores) and Marco Ponta (Corvo). The work of MISTIC SEAS II confirmed nesting in the seated Ilhéu, Alagoa, Flores Bolton M., Smith A.L., Gómez-diaz D., Friesen V., Medeiros R., Bried J., Roscales J. L., Furness R. W. (2008) Monteter’s Storm Petrel Oceanodroma monteiroi: a new species from the Azores. IBIS 150, 717-727. Bried, J., Neves, V.C. 2015. Habitat restoration on Praia Islet, Azores Archipelago, proved successful for seabirds, but new ones have emerged. Airo 23: 25-35. Mistic SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) – Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 – Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Concluding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp. Monteiro L.R., Ramos J.A., Pereira J. C., Monteiro P.R., Feio R. S., Thompson D. R., Bearhop S., Furness R. W., Laranjo M., Hilton G., Neves V. C., Groz M. P., and Thompson K.R. (1999).Status and Distribution of Fea’s Petrel, Bulk’s Petrel, Manx Shearwater, and Band-Rumped Storm Petrel in the Azores Archipelago. Waterbirds 22, 358-366. Olive tree, N., Aguiar, L., Barros, N., Bried, J., Carmo, V., Carvalho, A., Cepêda, H., Costa, L., Fde, L., Lourenço, J., Magalhães, M., Melo, C., Neves, V., Picanço, C., Picanço, M., Paiva, V., Pipa, T., T., Ramos, J., Raposo, P., Serba, S., Silva, C., Tarzia, M., Teixeira, J., Teodósio, J. -Andrade, J.. Status Report for Monteter’s Storm-petrel Hydrobates Monteiroi. Report of the Action A10, Project LIFE EuroSAP. Portuguese Society for the Study of Birds, Lisbon. Ramírez, J. 2017. Estimación de la densidad del Paiño de Monteiro (Hydrobates monteiroi) by means of bioacoustics. University of Vigo.
The data were collected in the framework of the Garajaus Census carried out by the University of the Azores (V. Neves) and DRAMs (MSFD Monitoring Programme ? MONIAVES). Population estimates of this species show interyearly fluctuations, such as spatial distribution of colonies, and there are historical records of occurrence on all islands. Reported data only refer to the period 2014-2018 as no garajaus census was carried out in 2013. The minimum estimate corresponds to 535 breeding pairs distributed per 22 colonies in the year 2016. The maximum estimate is 1068 breeding pairs distributed per 19 colonies in the year 2015. Neves, V. 2014. Azores Census Report 2014. University of the Azres, Department of Oceanography
Fisheries. Archives of the PDO, Series of studies No 1/2015.
A taxa de sobrevivência atual ainda não foi calculada e não existe um valor de referência para os Açores. Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Fisheries. Archives of the PDO, Series of studies No 5/2012. Neves, V. 2014. Azores Census Report 2014. University of the Azres, Department of Oceanography
Fisheries. Archives of the PDO, Series of studies No 1/2015. DRAM 2016. Census of Garajaus (Sterna spp.) in the subdivision of the Portuguese EEZ of the Autonomous Region of the Azores ? Report 2016. Implementation of the Marine Strategy Framework Directive. MOA01-III ? MONIAVES ? monitoring programme for seabird populations in the subdivision of the Azores. DRAM 2017. Census of Garajaus (Sterna hirundo and Sterna dougallii) in the subdivision of the Portuguese EEZ of the Autonomous Region of the Azores ? Report 2017. Implementation of the Marine Strategy Framework Directive. MOA01-III ? MONIAVES ? monitoring programme for seabird populations in the subdivision of the Azores. DRAM 2018. The Garajaus census (unpublished data) SRMCT (2019a), Country Progress Report and National Implementation (PT) of the Birds Directive, Article 12, 2013-2018, http://cdr.eionet.europa.eu/pt/eu/art12/envxbnbwa
Em 2014 a média de posturas para o garajau-comum foi de 2,2 (n=573) e em 2015 foi de 2,1 ovos por ninho (n=659). Neves, V. 2014. Azores Tern Census Report 2014. University of the Azores, Department of Oceanography & Fisheries. Arquivos do DOP, Série Estudos nº2/2014. Neves, V. 2015. Azores Tern Census Report 2015. University of the Azores, Department of Oceanography & Fisheries. Arquivos do DOP, Série Estudos nº1/2015.
A taxa de sobrevivência atual ainda não foi calculada e não existe um valor de referência para os Açores. Estabeleceu-se um limiar de 0,9 para todas as colónias de aves marinhas da Macaronésia. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Fisheries. Archives of the PDO, Series of studies No 5/2012. Neves, V. 2014. Azores Census Report 2014. University of the Azres, Department of Oceanography
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Description criteria
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). No entanto, recomenda-se monitorização futura para suprir as lacunas de conhecimento nas artes de pesca que não são abrangidas pelo programa de monitorização. Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Alvim, Lisbon.
Os parâmetros demográficos foram estimados através das metodologias estabelecidas pelo projeto MISTIC SEAS II (ver Macaronesian Roof Report) e apenas para o ilhéu da Vila, em Santa Maria. O BEA desta UG só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os parâmetros demográficos foram estimados através das metodologias estabelecidas pelo projeto MISTIC SEAS II (ver Macaronesian Roof Report) e apenas para o ilhéu da Vila, em Santa Maria. O BEA desta UG só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES.
Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848, 2017). No information or monitoring schemes are available on the habitat of seabirds. This criterion refers to the state of the marine habitat. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to a lack of knowledge on the distribution of some species, sex and age classes and monitoring challenges at sea (Lewison et al., 2012). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Uma revisão dos eventos de captura acidental de aves marinhas até ao ano 2000, reporta que apenas um indivíduo, presumivelmente um cagarro (Calonectris borealis), foi encontrado morto num palangre demersal nos Açores (Cooper et al., 2003, MISTIC SEAS II Consortium, 2018). O valor atual para este critério neste ciclo é de 0 indivíduos (2018, POPA; MISTIC SEAS II). Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
The population of the Azores is estimated to account for around 75 % of the world breeding population (BirdLife International, 2018). The total population estimate of Monteiro et al. (1999) was 403.920 individuals in 1996 in the Azores. Bolton (2001a), on the basis of the methodology developed by Feio (1997), estimated that the number of breeding pairs for calerros corresponds to the number of birds observed in January divided by a factor of 2,14, i.e. around 188.000 pairs. It was decided to maintain this population estimate of 1996 in the Report on Article 12 of the Birds Directive (2013-2018, SRMCT 2019a). Data collected in 2001 showed clearly a smaller number of chargros in life-rafts than on the 1996 census (Bolton, 2001a). While there are possible justifications for this decline, other than a real depletion of the breeding population, the large reduction in the number of chargins and the geographical pattern of its decline throughout the archipelago are reasons for some concern. The change in the number of chargros in janged cannot be explained by differences in the methodology or experience of the observers between the two censuses. It is uncertain whether the observed decline reflects inter-annual variations (given the long period between the 2 estimates), behavioural differences, or genuine mortality (Fontaine et al, 2011). There is a need to learn more about the behaviour of a liferaft, the factors influencing the inter-annual variability of birds in such liferafts, as well as the proportion of breeding birds which are part of them, in order to improve the population estimates of this species. Bolton, M. (2001a). Cesssus of Corylus? s shell waters Calonectris diomedea in the Azres archipago 2001. Final Report. University of the Azres. Bolton, M. (2001b). Development and Evaluation of techniques for Monitoring Threatend Procelliidform Seas in the Azres Archipelago. Final Report. Department of Oceanography and Fisheries, University of Azores, Horta. Feio, R. (1997). Use of liferafts on the Cargo Calonectris diomedea population borealis (Cory, 1881) in the Azores. University of the Algarve, Faro. Monteiro LR, JA Ramos, RW Furness. 1996. Present and Presence Status and Conservation of the Seas Breeding in the Azres Archipago. Biological Conservation. 78, 319-328.
Capelhos and Morro de Castelo Branco, Faial. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Capelhos and Morro de Castelo Branco, Faial. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. The garden centres on the coast of all the islands of the Azores, mainly in the islets and the inaccessible cliffs, and the population of the Azores is estimated to account for some 75 % of the size of the world?s breeding population (BirdLife International).
Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848, 2017). No information or monitoring schemes are available on the habitat of seabirds. This criterion refers to the state of the marine habitat. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to a lack of knowledge on the distribution of some species, sex and age classes and monitoring challenges at sea (Lewison et al., 2012). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Population estimates of this species were made in the AAR mainly in the 1996s and 1997s and occasional listening was carried out in the following years, and the nesting population was estimated through night taps following the Monteiro et al. method (1999), with known colonies on islets and on the coast of all islands of the archipelago except the Terceira (Nevis, 2008). Mistic SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) – Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 – Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Concluding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os parâmetros demográficos foram estimados através das metodologias estabelecidas pelo projeto MISTIC SEAS (ver Macaronesian Roof Report) para as colónias do Ilhéu da Praia, Graciosa e Ilhéu da Vila, Santa Maria. O BEA destas colónias só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os parâmetros demográficos foram estimados através das metodologias estabelecidas pelo projeto MISTIC SEAS (ver Macaronesian Roof Report) para as colónias do Ilhéu da Praia, Graciosa e Ilhéu da Vila, Santa Maria. O BEA destas colónias só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Alvim, Lisbon.
O habitat para a espécie é um critério secundário para aves marinhas (Decisão 2017/848/EU, 2017 da Comissão). Não se dispõe de informação nem de esquemas de monitorização sobre o habitat das aves marinhas. Este critério refere-se ao estado do habitat marinho. As aves marinhas, grandes migratórias, podem sofrer pressões nas suas zonas de alimentação e / ou de invernada não abrangidas nos programas de monitorização atuais devido à falta de conhecimento sobre a distribuição no mar de indivíduos de algumas espécies, sexo e classes etárias e desafios de monitorização (Lewison et al., 2012). MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). No entanto, recomenda-se monitorização futura para suprir as lacunas de conhecimento nas artes de pesca que não são abrangidas pelo programa de monitorização. Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Refined and Neves, 2015). There is no data on the total population, however the regular monitoring carried out in the 3 main colonies (Ihaia da Praia, Baixo and Vila) shows that the population in these colonies is stable. In 2017 SPEA registered a new nesting colony in the SSPA project in (Flores island) by means of eavesdropping, which has increased the extent of known distribution of the species, however data are still being processed and there is no associated population estimate, so that it will only be possible to present this information in the next reporting cycle (MISIC SECO II Consortium, 2018). Roughhead grenadier J.P. (2008). Oceanodroma castro. In (eds.): Atlas of Birds Nirentes in Portugal (1999-2005). PP 126
Os parâmetros demográficos foram analisados através das metodologias estabelecidas pelo projeto MISTIC SEAS II (ver Macaronesian Roof Report) para as colónias do Ilhéu da Praia, Graciosa e Ilhéu da Vila, Santa Maria. O BEA só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os parâmetros demográficos foram analisados através das metodologias estabelecidas pelo projeto MISTIC SEAS II (ver Macaronesian Roof Report) para as colónias do Ilhéu da Praia, Graciosa e Ilhéu da Vila, Santa Maria. O BEA só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES.
Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848, 2017). No information or monitoring schemes are available on the habitat of seabirds. This criterion refers to the state of the marine habitat. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to a lack of knowledge on the distribution of some species, sex and age classes and monitoring challenges at sea (Lewison et al., 2012). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). No entanto, recomenda-se monitorização futura para suprir as lacunas de conhecimento nas artes de pesca que não são abrangidas pelo programa de monitorização. Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
O painho-de-monteiro é uma espécie endémica dos Açores, com uma população pequena (361-391 casais reprodutores) e nidificação restrita a cinco colónias, distribuídas pelas ilhas Graciosa, Flores e Corvo. Bolton M., Smith A. L., Gómez-diaz D., Friesen V., Medeiros R., Bried J., Roscales J. L., Furness R. W. (2008) Monteiro's Storm Petrel Oceanodroma monteiroi: a new species from the Azores. Ibis 150, 717-727. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp. Monteiro L.R., Ramos J.A., Pereira J. C.,Monteiro P. R., Feio R. S., Thompson D. R.,Bearhop S., Furness R. W., Laranjo M., Hilton G., Neves V. C., Groz M. P., and Thompson K.R. (1999). Status and Distribuition of Fea's Petrel, Bulwer's Petrel, Manx Shearwater, and Band-Rumped Storm Petrel in the Azores Archipelago. Waterbirds 22, 358-366. Oliveira, N., Aguiar, L., Barros, N., Bried, J., Carmo, V., Carvalho, A., Cepêda, H., Costa, L., Faustino, L., Lourenço, J., Magalhães, M., Melo, C., Neves, V., Picanço, C., Picanço, M., Paiva, V., Pipa, T., Ramos, J., Raposo, P., Serba, S., Silva, C., Tarzia, M., Teixeira, J., Teodósio, J. & Andrade, J. 2016. Status Report for Monteiro’s Storm-petrel Hydrobates monteiroi. Report of the Action A10, Project LIFE EuroSAP. Sociedade Portuguesa para o Estudo das Aves, Lisboa. Ramírez, J. 2017. Estimación de la densidad del Paiño de Monteiro (Hydrobates monteiroi) mediante bioacústica. Universidad de Vigo.
O BEA só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
O BEA só se pode avaliar com rigor com dados de monitorização de, pelo menos, 6 épocas de nidificação. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES.
Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848, 2017). No information or monitoring schemes are available on the habitat of seabirds. This criterion refers to the state of the marine habitat. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to a lack of knowledge on the distribution of some species, sex and age classes and monitoring challenges at sea (Lewison et al., 2012). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
There are no current studies of demographic parameters with regional coverage to assess this criterion with confidence.
There are no current studies of demographic parameters with regional coverage to assess this criterion with confidence.
The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores.
Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848, 2017). No information or monitoring schemes are available on the habitat of seabirds. This criterion refers to the state of the marine habitat. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to a lack of knowledge on the distribution of some species, sex and age classes and monitoring challenges at sea (Lewison et al., 2012). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
Não se detetou captura acidental no programa de observação de pesca dos Açores - POPA (Cooper et al., 2003). Cooper, J., Baccetti, N., Belda, E. J., Borg, J. J., and Oro, D. Papaconstantinou, C. Sanchez, A. 2003. Seabird mortality from longline fishing in the Mediterranean Sea and Macronesian waters: a review and a way forward. Scientia Marina, 67: 57–64. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
There are no current studies of demographic parameters with regional coverage to assess this criterion with confidence.
There are no current studies of demographic parameters with regional coverage to assess this criterion with confidence.
The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores.
Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848, 2017). No information or monitoring schemes are available on the habitat of seabirds. This criterion refers to the state of the marine habitat. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to a lack of knowledge on the distribution of some species, sex and age classes and monitoring challenges at sea (Lewison et al., 2012). JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp
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Description element
Os resultados preliminares do projeto MISTIC SEAS revelam que esta espécie se encontra em BEA nos Açores para o critério D1C1, com uma aparente tendência estável. Os restantes critérios têm um BEA desconhecido, pelo que a avaliação geral da espécie é também desconhecida. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os resultados preliminares do projeto MISTIC SEAS revelam que esta espécie se encontra em BEA nos Açores para o critério D1C1, com uma aparente tendência estável. Os restantes critérios têm um BEA desconhecido, pelo que a avaliação geral da espécie é também desconhecida. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os resultados preliminares do projeto MISTIC SEAS revelam que esta espécie se encontra em BEA nos Açores para o critério D1C1, com uma aparente tendência estável. Os restantes critérios têm um BEA desconhecido, pelo que a avaliação geral da espécie é também desconhecida. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os resultados preliminares do projeto MISTIC SEAS revelam que esta espécie se encontra em BEA nos Açores para o critério D1C1, com uma aparente tendência estável. Os restantes critérios têm um BEA desconhecido, pelo que a avaliação geral da espécie é também desconhecida. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os resultados preliminares do projeto MISTIC SEAS revelam que esta espécie se encontra em BEA nos Açores para o critério D1C1, com uma aparente tendência estável. Os restantes critérios têm um BEA desconhecido, pelo que a avaliação geral da espécie é também desconhecida. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
Os resultados preliminares do projeto MISTIC SEAS revelam que esta espécie se encontra em BEA nos Açores para o critério D1C1, com uma aparente tendência estável. Os restantes critérios têm um BEA desconhecido, pelo que a avaliação geral da espécie é também desconhecida. MISTIC SEAS II consortium (2018) Macaronesian Roof Report (TRWP2) - Applying a sub-regional coherent and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 - Towards a coherent update of initial assessment, GES and targets, Task 2.1. Update of the Initial Assessment and Task 2.2. Finding common GES definition and Environmental Targets for the Macaronesia GA No 11.0661/2017/750679/SUB/ENV.C2., Brussels, 132pp.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
The preliminary results of the MISTIC SEAS project show that this species is in GES in the Azores for D1C1, with an apparent stable trend. The remaining criteria have unknown GES, so the overall assessment of the species is also unknown.
Integration rule type parameter
Integration rule description parameter
Integration rule type criteria
Integration rule description criteria
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
For assessment and integration of environmental status it is essential to collect a wider/diverse set of data, filling gaps for a precision assessment. the suggested integration rule OOAO (WG BEA, 2017) could offer a reliable and robust integration method if the status of each element, criterion, indicator could be assessed with a very high degree of confidence, this is rarely the case.
GES extent threshold
GES extent achieved
GES extent unit
GES achieved
Unknown
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Unknown
Unknown
Unknown
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Unknown
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Unknown
Unknown
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Unknown
Description overall status
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. The habitat for species D1C5 is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). Due to insufficient knowledge of the distribution at sea of the populations (only anecdotal satellite telemetry data for some species) extending well beyond the subdivision of the Azores and the Macaronesian biogeographical region, this criterion has been considered ?Unknown? (MISTIC EESE II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
All marine bird species appear to be in GES for D1C1, for the assessed fisheries (MISIC SEAS II Consortium, 2018). However, it is necessary to assess the fishing gear not covered by the current monitoring programmes, so the confidence level of this assessment is low. D1C2 and D1C4: There is no updated stock census of Procellariformes since the work of Monteiro et al. (1999) at regional level (all AAR) to measure the actual distribution area of the various species and total population and to assess GES. It is therefore necessary and urgent to update the population estimates through regional census for all Procellariformes. The population estimates of the Garajaus (Charadriiformes) show noticeable inter-annual fluctuations observed in the annual censuses that make it difficult to assess their status. Only with long data series will it be possible to understand whether the observed changes between the different sampling periods are natural variability or whether other factors, such as anthropogenic pressures, affect the status of seabird populations in the Azores. There are no demographic parameters with regional coverage and sufficiently long standardised methodology to assess D1C3 with confidence in this cycle. Habitat for the species is a secondary criterion for seabirds (Commission Decision (EU) 2017/848). There is no information or monitoring scheme on the marine habitat of these birds. Seabirds, large migratory birds, may experience pressures in their feeding and/or wintering areas not covered by the current monitoring programmes due to lack of knowledge on distribution at sea, their demographic parameters and remote monitoring challenges (Ledison et al., 2012, MISTIC SET-II Consortium, 2018). The information was considered insufficient to characterise and assess most of the criteria for the different species (elements). It was therefore considered that GES is ?Unknown? at group level integration. JCC II consortium (2018) Macaronesian Roof Report (TRWP2) ? Applying a sub-regional close and coordinated approach to the monitoring and assessment of marine biodiversity in Macaronesia for the second cycle of the MSFD. WP2 ? Towards a co-beneficiary update of initial assessment, GES and targets.
Assessments period
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
2012-2018
Related pressures
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
Related targets

Madeira subdivision (AMA-PT-SD-MAD)

GES component
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
D1-B
Feature
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Pelagic-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Surface-feeding birds
Element
Bulweria bulwerii
Bulweria bulwerii
Bulweria bulwerii
Bulweria bulwerii
Calonectris borealis
Calonectris borealis
Calonectris borealis
Calonectris borealis
Pterodroma deserta
Pterodroma deserta
Pterodroma deserta
Pterodroma deserta
Pterodroma madeira
Pterodroma madeira
Pterodroma madeira
Pterodroma madeira
Puffinus lherminieri
Puffinus lherminieri
Puffinus lherminieri
Puffinus lherminieri
Hydrobates castro
Pelagodroma marina
Pelagodroma marina
Pelagodroma marina
Pelagodroma marina
Element code
137193
137193
137193
137193
226024
226024
226024
226024
759338
759338
759338
759338
137198
137198
137198
137198
212633
212633
212633
212633
137193
212700
212700
212700
212700
Element code source
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Element 2
Element 2 code
Element 2 code source
Element source
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
MS in (sub)region
Criterion
D1C2
D1C3
D1C3
D1C4
D1C2
D1C3
D1C3
D1C4
D1C2
D1C3
D1C3
D1C4
D1C2
D1C3
D1C3
D1C4
D1C2
D1C3
D1C3
D1C4
D1C4
D1C2
D1C3
D1C3
D1C4
Parameter
Abundance
Other
Survival rate
Distribution (range)
Abundance
Other
Survival rate
Distribution (range)
Abundance
Other
Survival rate
Distribution (range)
Abundance
Other
Survival rate
Distribution (range)
Abundance
Other
Survival rate
Distribution (range)
Distribution (range)
Abundance
Other
Survival rate
Distribution (range)
Parameter other
Breeding roots
Breeding roots
Breeding roots
Breeding roots
Breeding roots
Breeding roots
Threshold value upper
0.9
0.9
0.9
0.9
0.9
0.9
Threshold value lower
Threshold qualitative
Threshold value source
MS(sub)region
MS(sub)region
MS(sub)region
MS(sub)region
MS(sub)region
MS(sub)region
Threshold value source other
Value achieved upper
0.6
Value achieved lower
Value unit
Other
percentage
Other
Other
percentage
Other
Other
Other
percentage
Other
Other
percentage
Other
Other
Other
Value unit other
Percentage
Decimal
Percentage
Decimal
Percentage
Decimal
Decimal
Percentage
Decimal
Number of colonies
Decimal
Proportion threshold value
Proportion value achieved
Proportion threshold value unit
Trend
Improving
Deteriorating
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Parameter achieved
Not assessed
Not assessed
Not assessed
Unknown
Not assessed
Not assessed
Unknown
Unknown
Unknown
Unknown
Not assessed
Unknown
Not assessed
Unknown
Not assessed
Not assessed
Not assessed
Unknown
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Unknown
Description parameter
Regular monitoring of the black ma- is sparse in the Great. The latest estimates suggest a population of 5000 breeding pairs (Zino and biscuit, 1994) whose methodology is not comparable to that laid down in MSII and will therefore not be used as a benchmark. The abundance of blackgrass has been evaluated using the standardised methodology and agreed for Macaronesia, with 84.78 % for the year 2017 and 89.36 % for 2018. The average of the two years is 87.07 %.
The breeding success of the black lavender has been evaluated with standardised parameters and agreed for Macaronesia, 71.79 % for 2017 and 28.57 % for 2018. The average of the two years is 50.18 %.
The current survival rate has not been calculated and there is no reference value for this colony. A threshold of 0.9 for all seabird colonies in Macaronesia has been established. However, 40 birds were ringed during 2018.
There is not yet an assessment of BEA available for the whole colony
The size of the garga was valued with the standardised methodology agreed for Macaronesia and was 96.70 % for 2017 and 67.88 % for 2018. The average of the two years is 87.99 %.
Breeding success was 52 % for the 1992-1999 (Mougin 2001). Breeding success was assessed using the standardised methodology for Macaronesia, 96.59 % for 2017 and 80.58 % for 2018. The average of the two years is 88.59 %.
current survival rate not yet calculated (155 ringed birds in 2018) and there is no reference value for this colony. A threshold of 0.9 for all seabird colonies in Macaronesia has been established.
Carga distribution area not yet evaluated in Madeira
A total of 160-180 breeding pairs have been estimated in the colony (Jesus et al., 2009). However, the size of the freiaggio charter has not yet been assessed with the current method set out in Madeira. Therefore, no assessment can be carried out for this colony.
The breeding success of the river chartering has not yet been assessed in Madeira.
The survival rate has not yet been calculated and there is no reference value for this colony. A threshold of 0.9 for all sea bird colonies in Macaronesia has been established
The distribution of the chartering round has not yet been assessed in Madeira.
The size of the population is considered to range from 30-40 breeding pairs to 65-80 CR, estimated as part of the project LIFE00 NAT/P/007097 for the conservation of Madeira through the restoration of their habitat in 2001/2006 coordinated by IFCN-RAM. However, the size of the Madeira freia-Madeira has not yet been estimated with the agreed standard methodology. for Macaronesia. Therefore, an abundance assessment cannot be made for this colony.
No SR values available for this species. Therefore it is not yet possible to establish a benchmark for using An assessment under this criterion
The current survival rate has been calculated with a reference value for this colony. A threshold of 0.9 for all seabird colonies in Macaronesia has been established.
The size of the painter was valued using the standardised methodology and agreed for Macaronesia. The size was calculated only for 2018 and was 26.53 %.
The breeding success of the painter was estimated at 80 % in 2011 (Fagundes et al., 2016). SR is now calculated only for the year 2018 and is 42.31 %.
The current survival rate has not yet been calculated and there is no reference value for this colony, with 15 birds ringed. A threshold of 0.9 for all seabird colonies in Macaronesia has been established.
Distribution of the Pintainho was not assessed in Madeira
Estimate only for the Small and Off Charity of Out (Caty et al., 2010).
Related indicator
  • AMA-DEM-SR
Criteria status
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Good
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Description criteria
There is not yet an assessment of the BEA available for the whole colony.
There is still no assessment of BEA available for all colóni
There is still no assessment of BEA available for all colóni
The distribution area of the black alma-is not assessed for the subdivision of Madeira
The overall assessment of GES for this colony is not yet available
Carga distribution area not yet evaluated in Madeira
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
The distribution of the ?hornão? has not yet been assessed in the Madeira.
An assessment of GES for the whole colony is not yet available
An assessment of GES for the whole colony is not yet available
An assessment of GES for the whole colony is not yet available
The breeding area is restricted to the central mountains of Madeira (Zino et al., 1995), known as the ?Eastern massif?, a Special Protection Area (SPA). Therefore, only one known colony of this species is currently maintained and indicates good environmental status for this criterion.
Distribution of the Pintainho was not assessed in Madeira
At least two colonies are described in Madeira to This species (Atlas Team, 2008b), but the evaluation of its current distribution is not has been carried out
Calcamar abundance has not yet been assessed with standardised methodology agreed for Macaronesia
The breeding success of this colony has not yet been calculated with the standardised methodology agreed for Macaronesia.
The breeding success of this colony has not yet been calculated with the standardised methodology agreed for Macaronesia.
The extension of draughts has not yet been assessed in Madeira.
Element status
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Description element
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
The overall assessment of GES for this colony is not yet available
The overall assessment of GES for this colony is not yet available
The overall assessment of GES for this colony is not yet available
The overall assessment of GES for this colony is not yet available
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
There is not yet an assessment of BEA available for the whole colony
An assessment of GES for the whole colony is not yet available
An assessment of GES for the whole colony is not yet available
An assessment of GES for the whole colony is not yet available
An assessment of GES for the whole colony is not yet available
An assessment of GES for this colony is not yet available
An assessment of GES for this colony is not yet available
An assessment of GES for this colony is not yet available
An assessment of GES for this colony is not yet available
Still there is an GES assessment available for the whole colony
Still there is an GES assessment available for the whole colony
Still there is an GES assessment available for the whole colony
Still there is an GES assessment available for the whole colony
Integration rule type parameter
Integration rule description parameter
Integration rule type criteria
Integration rule description criteria
GES extent threshold
GES extent achieved
GES extent unit
GES achieved
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Description overall status
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
However, there are gaps in the information needed for a rigorous assessment. In the context of MISICT SEAS I, the group of marine birds followed a stop light methodology to find common bases between the archipelagos and to determine indicators as well as the feasibility of the proposed monitoring methods
Assessments period
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
2014-2018
Related pressures
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of other forms of energy (including electromagnetic fields, light and heat)
  • Input or spread of non-indigenous species
  • Litter and micro-litter in species
Related targets
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA
  • AMAPT-T003-D1MAD
  • AMAPT-T005-D1MAD
  • AMAPT-T006-D1MAD
  • AMAPT-T007-D1MAD
  • AMAPT-T009-D1MAD
  • AMAPT-T011-D1MAD
  • AMAPT-T012-D1MAD
  • AMAPT-T013-D1MAD
  • AMAPT-T014-D1MAD
  • Diretiva Aves
  • Diretiva Habitats
  • Meta DQEM BEA