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

• 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://dx.doi.org/10.1594/pangaea.876722; https://doi.pangaea.de/10.1594/PANGAEA.876722

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 ... : This data set archives results for modelling and zonation outputs for the paper Krüger et al. (2017). The link below leads to a zip file containing all data files. Data files are in grid (.asc) or shapefiles (.shp) to be used in GIS environments. Details and descriptions are in the file "instructions_READ_ME.txt". ...