Estimating relative abundance of whales from historical Antarctic whaling records
Catch per unit effort (CPUE) is often the only data available from historical fisheries for inferring distribution and abundance of exploited populations. CPUE underestimates variations in relative abundance when gross effort data are only measured in total operating days. Gross effort includes both...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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2014
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Online Access: | http://dx.doi.org/10.1139/cjfas-2013-0016 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2013-0016 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2013-0016 |
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crcansciencepubl:10.1139/cjfas-2013-0016 2024-06-23T07:47:09+00:00 Estimating relative abundance of whales from historical Antarctic whaling records de la Mare, William K. Cooper, Andrew 2014 http://dx.doi.org/10.1139/cjfas-2013-0016 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2013-0016 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2013-0016 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 71, issue 1, page 106-119 ISSN 0706-652X 1205-7533 journal-article 2014 crcansciencepubl https://doi.org/10.1139/cjfas-2013-0016 2024-05-24T13:05:52Z Catch per unit effort (CPUE) is often the only data available from historical fisheries for inferring distribution and abundance of exploited populations. CPUE underestimates variations in relative abundance when gross effort data are only measured in total operating days. Gross effort includes both searching time and handling time, but only searching time is useful for an index of abundance. A method is developed for estimating searching time by subtracting a maximum likelihood estimate of handling time from the gross effort. An expectation maximization (E-M) algorithm is used to combine maximum likelihood estimates of the handling time with the expected additional operating time due to handling the last catch of each day. Simulation tests show that the estimates of catch per unit of searching time (C/CSW) are much closer to proportionally related to local density than gross CPUE. Estimates of handling time are not unbiased, and some nonlinearity between local density and C/CSW may persist. The methods may be useful for other fisheries where historic gross catch and effort data involve both searching and handling. Article in Journal/Newspaper Antarc* Antarctic Canadian Science Publishing Antarctic Canadian Journal of Fisheries and Aquatic Sciences 71 1 106 119 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
Catch per unit effort (CPUE) is often the only data available from historical fisheries for inferring distribution and abundance of exploited populations. CPUE underestimates variations in relative abundance when gross effort data are only measured in total operating days. Gross effort includes both searching time and handling time, but only searching time is useful for an index of abundance. A method is developed for estimating searching time by subtracting a maximum likelihood estimate of handling time from the gross effort. An expectation maximization (E-M) algorithm is used to combine maximum likelihood estimates of the handling time with the expected additional operating time due to handling the last catch of each day. Simulation tests show that the estimates of catch per unit of searching time (C/CSW) are much closer to proportionally related to local density than gross CPUE. Estimates of handling time are not unbiased, and some nonlinearity between local density and C/CSW may persist. The methods may be useful for other fisheries where historic gross catch and effort data involve both searching and handling. |
author2 |
Cooper, Andrew |
format |
Article in Journal/Newspaper |
author |
de la Mare, William K. |
spellingShingle |
de la Mare, William K. Estimating relative abundance of whales from historical Antarctic whaling records |
author_facet |
de la Mare, William K. |
author_sort |
de la Mare, William K. |
title |
Estimating relative abundance of whales from historical Antarctic whaling records |
title_short |
Estimating relative abundance of whales from historical Antarctic whaling records |
title_full |
Estimating relative abundance of whales from historical Antarctic whaling records |
title_fullStr |
Estimating relative abundance of whales from historical Antarctic whaling records |
title_full_unstemmed |
Estimating relative abundance of whales from historical Antarctic whaling records |
title_sort |
estimating relative abundance of whales from historical antarctic whaling records |
publisher |
Canadian Science Publishing |
publishDate |
2014 |
url |
http://dx.doi.org/10.1139/cjfas-2013-0016 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2013-0016 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2013-0016 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 71, issue 1, page 106-119 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfas-2013-0016 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
71 |
container_issue |
1 |
container_start_page |
106 |
op_container_end_page |
119 |
_version_ |
1802651247147220992 |