Distribution maps of cetacean and seabird populations in the North‐East Atlantic

International audience Distribution maps of cetaceans and seabirds at basin and monthly scales are needed for conservation and marine management. These are usually created from standardised and systematic aerial and vessel surveys, with recorded animal densities interpolated across study areas. Howe...

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Bibliographic Details
Published in:Journal of Applied Ecology
Main Authors: Waggitt, J.J., Evans, P.G.H., Andrade, J., Banks, A.N, Boisseau, O., Bolton, M., Bradbury, G., Brereton, T., Camphuysen, C.J., Durinck, J., Felce, T., Fijn, R.C., Garcia‐baron, I., Garthe, S., Geelhoed, S.C.V, Gilles, A., Goodall, M., Haelters, J., Hamilton, S., Hartny‐mills, L., Hodgins, N., James, K., Jessopp, M., Kavanagh, A.S., Leopold, M., Lohrengel, K., Louzao, M., Markones, N., Martinez‐cediera, J., O’cadhla, O., Perry, S.L., Pierce, G.J., Ridoux, V., Robinson, K.P., Santos, M.B., Saavedra, C., Skov, H., Stienen, E.W.M., Sveegaard, S., Thompson, P., Vanermen, N., Wall, D., Webb, A., Wilson, J., Wanless, S., Hiddink, J.G.
Other Authors: Division of Engineering and Applied Science, California Institute of Technology, California Institute of Technology (CALTECH), RSPB Centre for Conservation Science, Centre for Conservation Science, Institute for Terrestrial and Aquatic Wildlife Research (ITAW), University of Veterinary Medicine Hannover Foundation (TiHo), Groupe innovation et ciblage cellulaire (GICC), EA 7501 2018-. (GICC EA 7501), Université de Tours (UT), University of Aberdeen, Observatoire pour la Conservation de la Mégafaune Marine (PELAGIS), LIttoral ENvironnement et Sociétés (LIENSs), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), University of Guanajuato, National Environmental Research Institute, Institut für Experimentelle Physik, Universität Duisburg-Essen Essen, Centre for Ecology and Hydrology Banchory, Natural Environment Research Council (NERC)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2019
Subjects:
Online Access:https://hal.science/hal-02364979
https://doi.org/10.1111/1365-2664.13525
Description
Summary:International audience Distribution maps of cetaceans and seabirds at basin and monthly scales are needed for conservation and marine management. These are usually created from standardised and systematic aerial and vessel surveys, with recorded animal densities interpolated across study areas. However, distribution maps at basin and monthly scales have previously not been possible because individual surveys have restricted spatial and temporal coverage.This study develops an alternative approach consisting of: (1) collating diverse survey data to maximise spatial and temporal coverage, (2) using detection functions to estimate variation in the surface area covered (km2) among these surveys, standardising measurements of effort and animal densities, and (3) developing species distribution models (SDM) that overcome issues with heterogeneous and uneven coverage.2.68 million km of survey data in the North‐East Atlantic between 1980 and 2018 were collated and standardised. SDM using Generalized Linear Models and General Estimating Equations in a hurdle approach were developed. Distribution maps were then created for 12 cetacean and 12 seabird species at 10 km and monthly resolution. Qualitative and quantitative assessment indicated good model performance.Synthesis and applications. This study provides the largest ever collation and standardisation of diverse survey data for cetaceans and seabirds, and the most comprehensive distribution maps of these taxa in the North‐East Atlantic. These distribution maps have numerous applications including the identification of important areas needing protection, and the quantification of overlap between vulnerable species and anthropogenic activities. This study demonstrates how the analysis of existing and diverse survey data can meet conservation and marine management needs.