Adaptive Management of Spatially Replicated Groundfish Populations
Assessment techniques that recognize information shared among substocks can help reduce uncertainty about stock size and productivity, compared with methods that treat each subpopulation independently. We develop this methodology using time series of catch and relative abundance data for six subpopu...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Language: | English |
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Canadian Science Publishing
1991
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Online Access: | http://dx.doi.org/10.1139/f91-153 http://www.nrcresearchpress.com/doi/pdf/10.1139/f91-153 |
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crcansciencepubl:10.1139/f91-153 2023-12-17T10:47:36+01:00 Adaptive Management of Spatially Replicated Groundfish Populations Collie, Jeremy S. Walters, Carl J. 1991 http://dx.doi.org/10.1139/f91-153 http://www.nrcresearchpress.com/doi/pdf/10.1139/f91-153 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 48, issue 7, page 1273-1284 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 1991 crcansciencepubl https://doi.org/10.1139/f91-153 2023-11-19T13:38:17Z Assessment techniques that recognize information shared among substocks can help reduce uncertainty about stock size and productivity, compared with methods that treat each subpopulation independently. We develop this methodology using time series of catch and relative abundance data for six subpopulations of yellowtail flounder, Limanda ferruginea, from the Northwest Atlantic. The Deriso/Schnute delay-difference production model was fit to the data, but the model parameters associated with population productivity and absolute population size were very uncertain. Estimates of parameter uncertainty were used to identify a set of models that are consistent with the observed data and imply different management policies. The value of these different policies was estimated with a stochastic simulation program that uses a Kalman filter to predict stock size for each model and Bayesian updating to assign a probability of each model being correct. With parameters shared among stocks and a shared response to external influences, in the order of 10–20 yr was needed to distinguish the correct model. Adaptive management simulations indicated that long-term yield was greater in simulations with adaptive learning and that a lower initial exploitation rate should be applied than would be the case if adaptive learning were ignored. Article in Journal/Newspaper Northwest Atlantic Canadian Science Publishing (via Crossref) Canadian Journal of Fisheries and Aquatic Sciences 48 7 1273 1284 |
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 Collie, Jeremy S. Walters, Carl J. Adaptive Management of Spatially Replicated Groundfish Populations |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
Assessment techniques that recognize information shared among substocks can help reduce uncertainty about stock size and productivity, compared with methods that treat each subpopulation independently. We develop this methodology using time series of catch and relative abundance data for six subpopulations of yellowtail flounder, Limanda ferruginea, from the Northwest Atlantic. The Deriso/Schnute delay-difference production model was fit to the data, but the model parameters associated with population productivity and absolute population size were very uncertain. Estimates of parameter uncertainty were used to identify a set of models that are consistent with the observed data and imply different management policies. The value of these different policies was estimated with a stochastic simulation program that uses a Kalman filter to predict stock size for each model and Bayesian updating to assign a probability of each model being correct. With parameters shared among stocks and a shared response to external influences, in the order of 10–20 yr was needed to distinguish the correct model. Adaptive management simulations indicated that long-term yield was greater in simulations with adaptive learning and that a lower initial exploitation rate should be applied than would be the case if adaptive learning were ignored. |
format |
Article in Journal/Newspaper |
author |
Collie, Jeremy S. Walters, Carl J. |
author_facet |
Collie, Jeremy S. Walters, Carl J. |
author_sort |
Collie, Jeremy S. |
title |
Adaptive Management of Spatially Replicated Groundfish Populations |
title_short |
Adaptive Management of Spatially Replicated Groundfish Populations |
title_full |
Adaptive Management of Spatially Replicated Groundfish Populations |
title_fullStr |
Adaptive Management of Spatially Replicated Groundfish Populations |
title_full_unstemmed |
Adaptive Management of Spatially Replicated Groundfish Populations |
title_sort |
adaptive management of spatially replicated groundfish populations |
publisher |
Canadian Science Publishing |
publishDate |
1991 |
url |
http://dx.doi.org/10.1139/f91-153 http://www.nrcresearchpress.com/doi/pdf/10.1139/f91-153 |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 48, issue 7, page 1273-1284 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f91-153 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
48 |
container_issue |
7 |
container_start_page |
1273 |
op_container_end_page |
1284 |
_version_ |
1785571510182739968 |