Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches
Age and size structure are attributes of fishery stocks important for predicting future productivity. As such, estimating age and length composition of catches has long been an important fisheries management activity. Many observer programs sample catches to obtain length measurements and otoliths (...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Online Access: | http://dx.doi.org/10.1139/f06-022 http://www.nrcresearchpress.com/doi/pdf/10.1139/f06-022 |
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crcansciencepubl:10.1139/f06-022 2023-12-17T10:28:09+01:00 Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches Miller, T J Skalski, J R 2006 http://dx.doi.org/10.1139/f06-022 http://www.nrcresearchpress.com/doi/pdf/10.1139/f06-022 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 63, issue 5, page 1092-1114 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2006 crcansciencepubl https://doi.org/10.1139/f06-022 2023-11-19T13:39:05Z Age and size structure are attributes of fishery stocks important for predicting future productivity. As such, estimating age and length composition of catches has long been an important fisheries management activity. Many observer programs sample catches to obtain length measurements and otoliths (or other structures for ageing) from targeted species. In North Pacific groundfish fisheries, observers collect these data through a stratified multiphase sampling design. Sampling variance and covariance estimates for catch- or proportions-at-length or -age that reflect the randomization inherent in the sampling design provide important measures of uncertainty that correspond to measurement error components in length- or age-structured stock assessment models. We compare sampling variances and covariances of Pacific cod (Gadus macrocephalus) proportions-at-length and sablefish (Anoplopoma fimbria) proportions-at-age with those provided by the overdispersed multinomial model sometimes used in these assessment models. For example, the sampling variance estimates for 2002 Pacific cod proportion-at-length estimates in the Bering Sea Aleutian Islands are at most 13% of the variances provided by multinomial and square-root sample size assumptions. Furthermore, some proportion estimates are positively correlated, whereas only negative correlation occurs with the multinomial distribution. Article in Journal/Newspaper Bering Sea Aleutian Islands Canadian Science Publishing (via Crossref) Bering Sea Pacific Canadian Journal of Fisheries and Aquatic Sciences 63 5 1092 1114 |
institution |
Open Polar |
collection |
Canadian Science Publishing (via Crossref) |
op_collection_id |
crcansciencepubl |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Miller, T J Skalski, J R Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
Age and size structure are attributes of fishery stocks important for predicting future productivity. As such, estimating age and length composition of catches has long been an important fisheries management activity. Many observer programs sample catches to obtain length measurements and otoliths (or other structures for ageing) from targeted species. In North Pacific groundfish fisheries, observers collect these data through a stratified multiphase sampling design. Sampling variance and covariance estimates for catch- or proportions-at-length or -age that reflect the randomization inherent in the sampling design provide important measures of uncertainty that correspond to measurement error components in length- or age-structured stock assessment models. We compare sampling variances and covariances of Pacific cod (Gadus macrocephalus) proportions-at-length and sablefish (Anoplopoma fimbria) proportions-at-age with those provided by the overdispersed multinomial model sometimes used in these assessment models. For example, the sampling variance estimates for 2002 Pacific cod proportion-at-length estimates in the Bering Sea Aleutian Islands are at most 13% of the variances provided by multinomial and square-root sample size assumptions. Furthermore, some proportion estimates are positively correlated, whereas only negative correlation occurs with the multinomial distribution. |
format |
Article in Journal/Newspaper |
author |
Miller, T J Skalski, J R |
author_facet |
Miller, T J Skalski, J R |
author_sort |
Miller, T J |
title |
Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches |
title_short |
Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches |
title_full |
Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches |
title_fullStr |
Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches |
title_full_unstemmed |
Integrating design- and model-based inference to estimate length and age composition in North Pacific longline catches |
title_sort |
integrating design- and model-based inference to estimate length and age composition in north pacific longline catches |
publisher |
Canadian Science Publishing |
publishDate |
2006 |
url |
http://dx.doi.org/10.1139/f06-022 http://www.nrcresearchpress.com/doi/pdf/10.1139/f06-022 |
geographic |
Bering Sea Pacific |
geographic_facet |
Bering Sea Pacific |
genre |
Bering Sea Aleutian Islands |
genre_facet |
Bering Sea Aleutian Islands |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 63, issue 5, page 1092-1114 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f06-022 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
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63 |
container_issue |
5 |
container_start_page |
1092 |
op_container_end_page |
1114 |
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1785580179512360960 |