Distribution maps of cetacean and seabird populations in the North‐East Atlantic
Autor: | Peter G. H. Evans, Camilo Saavedra, Oliver Boisseau, Sally Hamilton, Signe Sveegaard, C.J. Camphuysen, Kathy James, Tom Felce, Alex N. Banks, Gareth Bradbury, Sarah L. Perry, M. Begoña Santos, Mark Jessopp, Vincent Ridoux, Nicola K. Hodgins, James J. Waggitt, Jan G. Hiddink, Mardik F. Leopold, Oliver Ó Cadhla, Tom Brereton, Graham J. Pierce, Sarah Wanless, Joana Andrade, Jared Wilson, Andrew G. Webb, Ailbhe S. Kavanagh, Ruben Fijn, Jan Haelters, Jan Durinck, Lauren Hartny‐Mills, J. Martínez-Cedeira, Dave Wall, Mark Bolton, Maite Louzao, Anita Gilles, Stefan Garthe, Martin Goodall, Nicolas Vanermen, Nele Markones, Eric Stienen, Kevin P. Robinson, Steve C.V. Geelhoed, Isabel García-Barón, Henrik Skov, Katrin Lohrengel, Paul M. Thompson |
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Přispěvatelé: | 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, University of Aberdeen, Observatoire PELAGIS UMS 3462 (PELAGIS), LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), 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), Université de Tours (UT) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
IMPACT Species distribution Distribution (economics) Celtic Sea 01 natural sciences Vulnerable species SEA biology maps Geography Hebrides detection function models MAMMALS [SDE]Environmental Sciences ABUNDANCE North Sea Seabird ecology Cartography BEHAVIOR Generalized linear model MODELS CONSERVATION Irish Sea Structural basin 010603 evolutionary biology Cetology Ecology and Environment biology.animal Centro Oceanográfico de Vigo distribution 14. Life underwater Medio Marino species distribution models English Channel MARINE PROTECTED AREAS business.industry 010604 marine biology & hydrobiology Business Manager projecten Midden-Noord 15. Life on land Bay of Biscay Marine Sciences Taxon DISTANCE Survey data collection business Business Manager projects Mid-North |
Zdroj: | Journal of Applied Ecology, 57(2), 253-269 e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía instname Journal of Applied Ecology Journal of Applied Ecology, Wiley, 2019, 57 (2), pp.253-269. ⟨10.1111/1365-2664.13525⟩ BASE-Bielefeld Academic Search Engine 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-Cedeira, J, Cadhla, O O, Perry, S L, Pierce, G J, Ridoux, V, Robinson, K P, Begona Santos, M, 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 2020, ' Distribution maps of cetacean and seabird populations in the North-East Atlantic ', Journal of Applied Ecology, vol. 57, no. 2, pp. 253– 269 . https://doi.org/10.1111/1365-2664.13525 Journal of Applied Ecology 57 (2020) 2 Digital.CSIC. Repositorio Institucional del CSIC |
ISSN: | 0021-8901 1365-2664 |
Popis: | 17 pages, 7 tables, 5 figures Distribution maps of cetaceans and seabirds at basin and monthly scales are needed for conservation and marine management. These are usually created from standardized 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: (a) collating diverse survey data to maximize spatial and temporal coverage, (b) using detection functions to estimate variation in the surface area covered (km2) among these surveys, standardizing measurements of effort and animal densities, and (c) 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 standardized. 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 standardization 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 JJW, PGHE, JGH and SW are supported through the NERC/DEFRA funded Marine Ecosystems Research Programme (MERP: NE/L003201/1). |
Databáze: | OpenAIRE |
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