Distribution maps of cetacean and seabird populations in the North‐East Atlantic. Issue 2 (10th December 2019)
- Record Type:
- Journal Article
- Title:
- Distribution maps of cetacean and seabird populations in the North‐East Atlantic. Issue 2 (10th December 2019)
- Main Title:
- Distribution maps of cetacean and seabird populations in the North‐East Atlantic
- Authors:
- Waggitt, James J.
Evans, Peter G. H.
Andrade, Joana
Banks, Alex N.
Boisseau, Oliver
Bolton, Mark
Bradbury, Gareth
Brereton, Tom
Camphuysen, Cornelis Jan
Durinck, Jan
Felce, Tom
Fijn, Ruben Christiaan
Garcia‐Baron, Isabel
Garthe, Stefan
Geelhoed, Steve C. V.
Gilles, Anita
Goodall, Martin
Haelters, Jan
Hamilton, Sally
Hartny‐Mills, Lauren
Hodgins, Nicola
James, Kathy
Jessopp, Mark
Kavanagh, Ailbhe S.
Leopold, Mardik
Lohrengel, Katrin
Louzao, Maite
Markones, Nele
Martínez-Cedeira, Jose
Ó Cadhla, Oliver
Perry, Sarah L.
Pierce, Graham J.
Ridoux, Vincent
Robinson, Kevin P.
Santos, M. Begoña
Saavedra, Camilo
Skov, Henrik
Stienen, Eric W. M.
Sveegaard, Signe
Thompson, Paul
Vanermen, Nicolas
Wall, Dave
Webb, Andy
Wilson, Jared
Wanless, Sarah
Hiddink, Jan Geert
… (more) - Editors:
- Punt, Andre
- Abstract:
- Abstract: 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 (km 2 ) 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.Abstract: 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 (km 2 ) 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. Abstract : Distribution maps of cetaceans and seabirds help their conservation and marine management. However, producing distribution maps at basin and monthly scales is challenging—individual surveys have limited coverage, and the combination of different surveys is not straightforward. Our approaches overcome these challenges, using almost 3 million kilometres of at‐sea survey data to produce distribution maps for 24 species at 10 km and monthly resolution in the North East Atlantic. … (more)
- Is Part Of:
- Journal of applied ecology. Volume 57:Issue 2(2020)
- Journal:
- Journal of applied ecology
- Issue:
- Volume 57:Issue 2(2020)
- Issue Display:
- Volume 57, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 57
- Issue:
- 2
- Issue Sort Value:
- 2020-0057-0002-0000
- Page Start:
- 253
- Page End:
- 269
- Publication Date:
- 2019-12-10
- Subjects:
- Bay of Biscay -- Celtic Sea -- detection function models -- English Channel -- Hebrides -- Irish Sea -- North Sea -- species distribution models
Agriculture -- Periodicals
Biology, Economic -- Periodicals
Agricultural ecology -- Periodicals
Applied ecology -- Periodicals
577 - Journal URLs:
- http://besjournals.onlinelibrary.wiley.com/hub/journal/10.1111/(ISSN)1365-2664/ ↗
http://onlinelibrary.wiley.com/ ↗
http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=jpe ↗ - DOI:
- 10.1111/1365-2664.13525 ↗
- Languages:
- English
- ISSNs:
- 0021-8901
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4942.500000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12805.xml