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...

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Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Quinn II, Terrance J., Fagen, Robert, Zheng, Jie
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 1990
Subjects:
Online Access:http://dx.doi.org/10.1139/f90-226
http://www.nrcresearchpress.com/doi/pdf/10.1139/f90-226
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spelling 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
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