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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2020
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Online Access: | https://doi.org/10.5061/dryad.k540b54 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::790f8ca9a5ed702203a28e01448d48a0 2023-05-15T13:43:37+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. 2020-03-19 https://doi.org/10.5061/dryad.k540b54 undefined unknown http://dx.doi.org/10.5061/dryad.k540b54 https://dx.doi.org/10.5061/dryad.k540b54 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:128660 10.5061/dryad.k540b54 oai:easy.dans.knaw.nl:easy-dataset:128660 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 Life sciences medicine and health care ecological risk assessment 1950-2010 Thalassarche melanophris albatross 1965-2011 Biologging trawl fisheries 1990-2010 Diomedea exulans Procellaria aequinoctialis marine megafauna population model Thalassarche chrysostoma petrel longline fisheries envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2020 fttriple https://doi.org/10.5061/dryad.k540b54 2023-01-22T17:23:54Z 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 ... Dataset Antarc* Antarctic Diomedea exulans Southern Ocean Unknown Antarctic Southern Ocean Indian New Zealand Argentina |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care ecological risk assessment 1950-2010 Thalassarche melanophris albatross 1965-2011 Biologging trawl fisheries 1990-2010 Diomedea exulans Procellaria aequinoctialis marine megafauna population model Thalassarche chrysostoma petrel longline fisheries envir geo |
spellingShingle |
Life sciences medicine and health care ecological risk assessment 1950-2010 Thalassarche melanophris albatross 1965-2011 Biologging trawl fisheries 1990-2010 Diomedea exulans Procellaria aequinoctialis marine megafauna population model Thalassarche chrysostoma petrel longline fisheries envir geo 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 ecological risk assessment 1950-2010 Thalassarche melanophris albatross 1965-2011 Biologging trawl fisheries 1990-2010 Diomedea exulans Procellaria aequinoctialis marine megafauna population model Thalassarche chrysostoma petrel longline fisheries envir geo |
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 ... |
format |
Dataset |
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 |
2020 |
url |
https://doi.org/10.5061/dryad.k540b54 |
geographic |
Antarctic Southern Ocean Indian New Zealand Argentina |
geographic_facet |
Antarctic Southern Ocean Indian New Zealand Argentina |
genre |
Antarc* Antarctic Diomedea exulans Southern Ocean |
genre_facet |
Antarc* Antarctic Diomedea exulans Southern Ocean |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:128660 10.5061/dryad.k540b54 oai:easy.dans.knaw.nl:easy-dataset:128660 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 |
op_relation |
http://dx.doi.org/10.5061/dryad.k540b54 https://dx.doi.org/10.5061/dryad.k540b54 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.k540b54 |
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1766191170958917632 |