Identification of candidate pelagic marine protected areas through a seabird seasonal‐, multispecific‐ and extinction risk‐based approach

With increasing pressure on the oceans from environmental change, there has been a global call for improved protection of marine ecosystems through the implementation of marine protected areas (MPAs). Here, we used species distribution modelling (SDM) of tracking data from 14 seabird species to iden...

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Veröffentlicht in:Animal conservation 2017-10, Vol.20 (5), p.409-424
Hauptverfasser: Krüger, L., Ramos, J. A., Xavier, J. C., Grémillet, D., González‐Solís, J., Kolbeinsson, Y., Militão, T., Navarro, J., Petry, M. V., Phillips, R. A., Ramírez, I., Reyes‐González, J. M., Ryan, P. G., Sigurðsson, I. A., Van Sebille, E., Wanless, R. M., Paiva, V. H.
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container_end_page 424
container_issue 5
container_start_page 409
container_title Animal conservation
container_volume 20
creator Krüger, L.
Ramos, J. A.
Xavier, J. C.
Grémillet, D.
González‐Solís, J.
Kolbeinsson, Y.
Militão, T.
Navarro, J.
Petry, M. V.
Phillips, R. A.
Ramírez, I.
Reyes‐González, J. M.
Ryan, P. G.
Sigurðsson, I. A.
Van Sebille, E.
Wanless, R. M.
Paiva, V. H.
description With increasing pressure on the oceans from environmental change, there has been a global call for improved protection of marine ecosystems through the implementation of marine protected areas (MPAs). Here, we used species distribution modelling (SDM) of tracking data from 14 seabird species to identify key marine areas in the southwest Atlantic Ocean, valuing areas based on seabird species occurrence, seasonality and extinction risk. We also compared overlaps between the outputs generated by the SDM and layers representing important human threats (fishing intensity, ship density, plastic and oil pollution, ocean acidification), and calculated loss in conservation value using fishing and ship density as cost layers. The key marine areas were located on the southern Patagonian Shelf, overlapping extensively with areas of high fishing activity, and did not change seasonally, while seasonal areas were located off south and southeast Brazil and overlapped with areas of high plastic pollution and ocean acidification. Non‐seasonal key areas were located off northeast Brazil on an area of high biodiversity, and with relatively low human impacts. We found support for the use of seasonal areas depending on the seabird assemblage used, because there was a loss in conservation value for the seasonal compared to the non‐seasonal approach when using ‘cost’ layers. Our approach, accounting for seasonal changes in seabird assemblages and their risk of extinction, identified additional candidate areas for incorporation in the network of pelagic MPAs. Marine Protected Areas are one of the main tools used to buffer the impact of environmental change on Marine Ecosystems. In this study we used year‐round tracking data of pelagic seabird communities into distribution modelling to detect key areas for conservation in the Southwest Atlantic Ocean. The key marine areas were located on the southern Patagonian Shelf overlapping extensively with areas of high fishing activity, off south and southeast Brazil overlapping with areas of high plastic pollution and ocean acidification, and off northeast Brazil on an area of high biodiversity with relatively low human impacts. There was a loss in conservation value for seasonal areas off tropical waters when compared to the non‐seasonal approach when using ?cost’ layers. Our approach identified additional candidate areas for incorporation in the network of pelagic MPAs.
doi_str_mv 10.1111/acv.12339
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A. ; Xavier, J. C. ; Grémillet, D. ; González‐Solís, J. ; Kolbeinsson, Y. ; Militão, T. ; Navarro, J. ; Petry, M. V. ; Phillips, R. A. ; Ramírez, I. ; Reyes‐González, J. M. ; Ryan, P. G. ; Sigurðsson, I. A. ; Van Sebille, E. ; Wanless, R. M. ; Paiva, V. H.</creator><creatorcontrib>Krüger, L. ; Ramos, J. A. ; Xavier, J. C. ; Grémillet, D. ; González‐Solís, J. ; Kolbeinsson, Y. ; Militão, T. ; Navarro, J. ; Petry, M. V. ; Phillips, R. A. ; Ramírez, I. ; Reyes‐González, J. M. ; Ryan, P. G. ; Sigurðsson, I. A. ; Van Sebille, E. ; Wanless, R. M. ; Paiva, V. H.</creatorcontrib><description>With increasing pressure on the oceans from environmental change, there has been a global call for improved protection of marine ecosystems through the implementation of marine protected areas (MPAs). 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H.</creatorcontrib><title>Identification of candidate pelagic marine protected areas through a seabird seasonal‐, multispecific‐ and extinction risk‐based approach</title><title>Animal conservation</title><description>With increasing pressure on the oceans from environmental change, there has been a global call for improved protection of marine ecosystems through the implementation of marine protected areas (MPAs). Here, we used species distribution modelling (SDM) of tracking data from 14 seabird species to identify key marine areas in the southwest Atlantic Ocean, valuing areas based on seabird species occurrence, seasonality and extinction risk. We also compared overlaps between the outputs generated by the SDM and layers representing important human threats (fishing intensity, ship density, plastic and oil pollution, ocean acidification), and calculated loss in conservation value using fishing and ship density as cost layers. 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source Wiley Online Library Journals Frontfile Complete
subjects Accounting
Acidification
Annual variations
anthropogenic activities
Aquatic birds
Atlantic Ocean
Biodiversity
biogeography
Brazil
Conservation
conservation value
Ecosystems
Endangered & extinct species
Environmental changes
Extinction
Fishing
Human influences
Marine ecosystems
Marine parks
Marine protected areas
Modelling
Ocean acidification
Oceans
Oil pollution
oils
Plastic pollution
Plastics
Pollution
Protected areas
Protection
Risk
seabird tracking
Seabirds
Seasonal variation
Seasonal variations
Seasonality
Ships
species distribution model
species distribution modelling
Species extinction
Zonation
title Identification of candidate pelagic marine protected areas through a seabird seasonal‐, multispecific‐ and extinction risk‐based approach
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