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Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform

TitlePredictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform
Publication TypeJournal Article
Year of Publication2011
AuthorsHuettmann, F, Artukhin, Y, Gilg, O, Humphries, G
JournalMar Biodiv
Volume41
Pagination141–179
Abstract

We present a first compilation, quantification andsummary of 27 seabird species presence data for north of theArctic circle (>66 degrees latitude North) and the ice-freeperiod (summer). For species names, we use severaltaxonomically valid online databases [Integrated TaxonomicInformation System (ITIS), AviBase, 4 letter species codesof the American Ornithological Union (AOU), The BritishList 2000, taxonomic serial numbers TSNs, World Registerof Marine Species (WORMS) and APHIA ID] allowing for acompatible taxonomic species cross-walk, and subsequentapplications, e.g., phylogenies. Based on the data mining andmachine learning RandomForest algorithm, and 26 environmentalpublicly available Geographic Information Systems(GIS) layers, we built 27 predictive seabird models based onpublic open access data archives such as the GlobalBiodiversity Information Facility (GBIF), North PacificPelagic Seabird Database (NPPSD) and PIROP database(in OBIS-Seamap). Model-prediction scenarios usingpseudo-absence and expert-derived absence were run;aspatial and spatial model assessment metrics were applied.Further, we used an additional species model performancemetric based on the best publicly available Arctic seabirdcolony location datasets compiled by the authors usingdigital and literature sources. The obtained models performreasonably: from poor (only a few coastal species with lowsamples) to very high (many pelagic species). In compliancewith data policies of the International Polar Year (IPY) andsimilar initiatives, data and models are documented withFGDC NBII metadata and publicly available online forfurther improvement, sustainability applications, synergy,and intellectual explorations in times of a global biodiversity,ocean and Arctic crisis.

DOI10.1007/s12526-011-0083-2
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