Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations
1. Incidental mortality (bycatch) in fisheries remains the greatest threat to many large marine vertebrates and is a major barrier to fisheries sustainability. Robust assessments of bycatch risk are crucial for informing effective mitigation strategies, but are hampered by missing information on the...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:128660 2023-07-02T03:30:02+02:00 Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations Clay, Thomas A. Small, Cleo Tuck, Geoffrey N. Pardo, Deborah Carneiro, Ana P.B. Wood, Andrew G. Croxall, John P. Crossin, Glenn T. Phillips, Richard A. 2019-05-31T22:23:55.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-vj-sdjz https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:128660 unknown doi:10.5061/dryad.k540b54/1 doi:10.5061/dryad.k540b54/2 doi:10.1111/1365-2664.13407 http://nbn-resolving.org/urn:nbn:nl:ui:13-vj-sdjz doi:10.5061/dryad.k540b54 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:128660 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2019 ftdans https://doi.org/10.5061/dryad.k540b54/110.5061/dryad.k540b54/210.1111/1365-2664.1340710.5061/dryad.k540b54 2023-06-13T13:38:55Z 1. Incidental mortality (bycatch) in fisheries remains the greatest threat to many large marine vertebrates and is a major barrier to fisheries sustainability. Robust assessments of bycatch risk are crucial for informing effective mitigation strategies, but are hampered by missing information on the distributions of key life-history stages (adult breeders and non-breeders, immatures and juveniles). 2. Using a uniquely comprehensive biologging dataset (1697 tracks, 790 individuals), we assessed spatial overlap of four threatened seabird populations from South Georgia, with longline and trawl fisheries in the Southern Ocean. We generated monthly population-level distributions, weighting each life-history stage according to population age-structure based on demographic models. Specifically, we determined where and when birds were at greatest potential bycatch risk, and from which fleets. 3. Overlap with both pelagic and demersal longline fisheries was highest for black-browed albatrosses, then white-chinned petrels, wandering and grey-headed albatrosses, whereas overlap with trawl fisheries was highest for white-chinned petrels. 4. Hotspots of fisheries overlap occurred in all major ocean basins, but particularly the south-east and south-west Atlantic Ocean (longline and trawl), and south-west Indian Ocean (pelagic longline). Overlap was greatest with pelagic longline fleets in May–September, when fishing effort south of 25°S is highest, and with demersal and trawl fisheries in January-June. Overlap scores were dominated by particular fleets: pelagic longline – Japan, Taiwan; demersal longline and trawl - Argentina, Namibia, Falklands, South Africa; demersal longline – Convention for Conservation of Antarctic Marine Living Resources (CCAMLR) waters, Chile, New Zealand. 5. Synthesis and applications: We provide a framework for calculating appropriately-weighted population-level distributions from biologging data, which we recommend for future bycatch risk assessments. Many regions of high overlap corresponded with ... Other/Unknown Material Antarc* Antarctic Southern Ocean Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Antarctic Argentina Indian New Zealand Southern Ocean |
institution |
Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Clay, Thomas A. Small, Cleo Tuck, Geoffrey N. Pardo, Deborah Carneiro, Ana P.B. Wood, Andrew G. Croxall, John P. Crossin, Glenn T. Phillips, Richard A. Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
topic_facet |
Life sciences medicine and health care |
description |
1. Incidental mortality (bycatch) in fisheries remains the greatest threat to many large marine vertebrates and is a major barrier to fisheries sustainability. Robust assessments of bycatch risk are crucial for informing effective mitigation strategies, but are hampered by missing information on the distributions of key life-history stages (adult breeders and non-breeders, immatures and juveniles). 2. Using a uniquely comprehensive biologging dataset (1697 tracks, 790 individuals), we assessed spatial overlap of four threatened seabird populations from South Georgia, with longline and trawl fisheries in the Southern Ocean. We generated monthly population-level distributions, weighting each life-history stage according to population age-structure based on demographic models. Specifically, we determined where and when birds were at greatest potential bycatch risk, and from which fleets. 3. Overlap with both pelagic and demersal longline fisheries was highest for black-browed albatrosses, then white-chinned petrels, wandering and grey-headed albatrosses, whereas overlap with trawl fisheries was highest for white-chinned petrels. 4. Hotspots of fisheries overlap occurred in all major ocean basins, but particularly the south-east and south-west Atlantic Ocean (longline and trawl), and south-west Indian Ocean (pelagic longline). Overlap was greatest with pelagic longline fleets in May–September, when fishing effort south of 25°S is highest, and with demersal and trawl fisheries in January-June. Overlap scores were dominated by particular fleets: pelagic longline – Japan, Taiwan; demersal longline and trawl - Argentina, Namibia, Falklands, South Africa; demersal longline – Convention for Conservation of Antarctic Marine Living Resources (CCAMLR) waters, Chile, New Zealand. 5. Synthesis and applications: We provide a framework for calculating appropriately-weighted population-level distributions from biologging data, which we recommend for future bycatch risk assessments. Many regions of high overlap corresponded with ... |
author |
Clay, Thomas A. Small, Cleo Tuck, Geoffrey N. Pardo, Deborah Carneiro, Ana P.B. Wood, Andrew G. Croxall, John P. Crossin, Glenn T. Phillips, Richard A. |
author_facet |
Clay, Thomas A. Small, Cleo Tuck, Geoffrey N. Pardo, Deborah Carneiro, Ana P.B. Wood, Andrew G. Croxall, John P. Crossin, Glenn T. Phillips, Richard A. |
author_sort |
Clay, Thomas A. |
title |
Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
title_short |
Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
title_full |
Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
title_fullStr |
Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
title_full_unstemmed |
Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
title_sort |
data from: a comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations |
publishDate |
2019 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-vj-sdjz https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:128660 |
geographic |
Antarctic Argentina Indian New Zealand Southern Ocean |
geographic_facet |
Antarctic Argentina Indian New Zealand Southern Ocean |
genre |
Antarc* Antarctic Southern Ocean |
genre_facet |
Antarc* Antarctic Southern Ocean |
op_relation |
doi:10.5061/dryad.k540b54/1 doi:10.5061/dryad.k540b54/2 doi:10.1111/1365-2664.13407 http://nbn-resolving.org/urn:nbn:nl:ui:13-vj-sdjz doi:10.5061/dryad.k540b54 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:128660 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.k540b54/110.5061/dryad.k540b54/210.1111/1365-2664.1340710.5061/dryad.k540b54 |
_version_ |
1770274296010113024 |