Species distribution modelling and zonation outputs for 14 Procellariiformes species using the Southwest Atlantic Ocean during their year-cycle

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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Bibliographic Details
Main Authors: Krüger, Lucas, Ramos, Jaime Albino, Xavier, José Caetano, Grémillet, David, González-Solís, Jacob, Kolbeinsson, Yann, Militão, Teresa, Navarro, Joan, Petry, Maria Virginia, Phillips, Richard A, Ramírez, Iván, Reyes-González, José Manuel, Ryan, Peter G, Sigurdsson, Ian A, Van Sebille, Erik, Wanless, Ross M, Paiva, Vitor Hugo Rodrigues
Format: Dataset
Language:English
Published: PANGAEA 2017
Subjects:
Ocean acidification
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.876722
https://doi.org/10.1594/PANGAEA.876722
Description
Summary: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.

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