Threshold Management Policies for Exploited Populations
Under a threshold management policy, harvesting occurs at a constant rate but ceases when a population drops below a threshold. A simulation model of an age-structured population with stochastic recruitment was constructed with such a harvest policy with several threshold levels. Other factors were...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Language: | English |
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Canadian Science Publishing
1990
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Online Access: | http://dx.doi.org/10.1139/f90-226 http://www.nrcresearchpress.com/doi/pdf/10.1139/f90-226 |
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crcansciencepubl:10.1139/f90-226 2023-12-17T10:28:09+01:00 Threshold Management Policies for Exploited Populations Quinn II, Terrance J. Fagen, Robert Zheng, Jie 1990 http://dx.doi.org/10.1139/f90-226 http://www.nrcresearchpress.com/doi/pdf/10.1139/f90-226 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 47, issue 10, page 2016-2029 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 1990 crcansciencepubl https://doi.org/10.1139/f90-226 2023-11-19T13:39:39Z Under a threshold management policy, harvesting occurs at a constant rate but ceases when a population drops below a threshold. A simulation model of an age-structured population with stochastic recruitment was constructed with such a harvest policy with several threshold levels. Other factors were fishing mortality, recruitment, and initial biomass. The objective function was a weighted function of average yield and standard deviation over a planning horizon. First, we determined the optimal threshold given fishing mortality. Secondly, we determined optimal threshold and fishing mortality, simultaneously. In application to eastern Bering Sea pollock, a threshold management policy always increased average yield over a non-threshold policy. For the first problem, optimal threshold levels ranged from 20 to 30% of pristine biomass. For the second problem, each scenario had a unique threshold and fishing mortality, with fishing mortality slightly above the maximum sustainable yield (MSY) level and a threshold range of 25–50%. These results were robust in regard to other factors. Benefits of the threshold policy were greater with a Ricker spawner-recruit model and with higher fishing mortality. The success of the threshold management policy is due to the relatively rapid rebuilding of a population to levels producing MSY. Article in Journal/Newspaper Bering Sea Canadian Science Publishing (via Crossref) Bering Sea Canadian Journal of Fisheries and Aquatic Sciences 47 10 2016 2029 |
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 Quinn II, Terrance J. Fagen, Robert Zheng, Jie Threshold Management Policies for Exploited Populations |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
Under a threshold management policy, harvesting occurs at a constant rate but ceases when a population drops below a threshold. A simulation model of an age-structured population with stochastic recruitment was constructed with such a harvest policy with several threshold levels. Other factors were fishing mortality, recruitment, and initial biomass. The objective function was a weighted function of average yield and standard deviation over a planning horizon. First, we determined the optimal threshold given fishing mortality. Secondly, we determined optimal threshold and fishing mortality, simultaneously. In application to eastern Bering Sea pollock, a threshold management policy always increased average yield over a non-threshold policy. For the first problem, optimal threshold levels ranged from 20 to 30% of pristine biomass. For the second problem, each scenario had a unique threshold and fishing mortality, with fishing mortality slightly above the maximum sustainable yield (MSY) level and a threshold range of 25–50%. These results were robust in regard to other factors. Benefits of the threshold policy were greater with a Ricker spawner-recruit model and with higher fishing mortality. The success of the threshold management policy is due to the relatively rapid rebuilding of a population to levels producing MSY. |
format |
Article in Journal/Newspaper |
author |
Quinn II, Terrance J. Fagen, Robert Zheng, Jie |
author_facet |
Quinn II, Terrance J. Fagen, Robert Zheng, Jie |
author_sort |
Quinn II, Terrance J. |
title |
Threshold Management Policies for Exploited Populations |
title_short |
Threshold Management Policies for Exploited Populations |
title_full |
Threshold Management Policies for Exploited Populations |
title_fullStr |
Threshold Management Policies for Exploited Populations |
title_full_unstemmed |
Threshold Management Policies for Exploited Populations |
title_sort |
threshold management policies for exploited populations |
publisher |
Canadian Science Publishing |
publishDate |
1990 |
url |
http://dx.doi.org/10.1139/f90-226 http://www.nrcresearchpress.com/doi/pdf/10.1139/f90-226 |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 47, issue 10, page 2016-2029 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f90-226 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
47 |
container_issue |
10 |
container_start_page |
2016 |
op_container_end_page |
2029 |
_version_ |
1785580177715101696 |