Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population

Recreational fisheries management is often compromised by limited information of variable quality from several sources. We develop a form of catch-age analysis to combine uncertain information from creel surveys, age composition, and mark-recapture estimates of abundance. Four systems are used in we...

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Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Merritt, Margaret F, Quinn II, Terrance J
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2000
Subjects:
Online Access:http://dx.doi.org/10.1139/f00-065
http://www.nrcresearchpress.com/doi/pdf/10.1139/f00-065
id crcansciencepubl:10.1139/f00-065
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spelling crcansciencepubl:10.1139/f00-065 2023-12-17T10:28:57+01:00 Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population Merritt, Margaret F Quinn II, Terrance J 2000 http://dx.doi.org/10.1139/f00-065 http://www.nrcresearchpress.com/doi/pdf/10.1139/f00-065 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 57, issue 7, page 1459-1469 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2000 crcansciencepubl https://doi.org/10.1139/f00-065 2023-11-19T13:39:19Z Recreational fisheries management is often compromised by limited information of variable quality from several sources. We develop a form of catch-age analysis to combine uncertain information from creel surveys, age composition, and mark-recapture estimates of abundance. Four systems are used in weighting annual observations: equal, inverse of squared coefficients of variation (CV -2 ), perceptions of accuracy, and a combination of the latter two. The model is applied to a humpback whitefish (Coregonus pidschian) population in Alaska and evaluated for model fit, parameter uncertainty, conservative forecasts of exploitable abundance, and biological plausibility. The probability of forecasted stock abundance occurring below a threshold level defined by an agency management plan is evaluated for various recruitment and exploitation scenarios. The perception model is judged to be best with the use of the analytic hierarchy process, a decision-making technique. By incorporating perceptions into fisheries decision-making, beliefs in the accuracy of uncertain information are made explicit. In a conservative context, fishery management decisions should include reducing risk to the stock in the setting of harvest policy and in the selection of the assessment model. Article in Journal/Newspaper Coregonus pidschian Humpback whitefish pidschian Alaska Canadian Science Publishing (via Crossref) Canadian Journal of Fisheries and Aquatic Sciences 57 7 1459 1469
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
Merritt, Margaret F
Quinn II, Terrance J
Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
topic_facet Aquatic Science
Ecology, Evolution, Behavior and Systematics
description Recreational fisheries management is often compromised by limited information of variable quality from several sources. We develop a form of catch-age analysis to combine uncertain information from creel surveys, age composition, and mark-recapture estimates of abundance. Four systems are used in weighting annual observations: equal, inverse of squared coefficients of variation (CV -2 ), perceptions of accuracy, and a combination of the latter two. The model is applied to a humpback whitefish (Coregonus pidschian) population in Alaska and evaluated for model fit, parameter uncertainty, conservative forecasts of exploitable abundance, and biological plausibility. The probability of forecasted stock abundance occurring below a threshold level defined by an agency management plan is evaluated for various recruitment and exploitation scenarios. The perception model is judged to be best with the use of the analytic hierarchy process, a decision-making technique. By incorporating perceptions into fisheries decision-making, beliefs in the accuracy of uncertain information are made explicit. In a conservative context, fishery management decisions should include reducing risk to the stock in the setting of harvest policy and in the selection of the assessment model.
format Article in Journal/Newspaper
author Merritt, Margaret F
Quinn II, Terrance J
author_facet Merritt, Margaret F
Quinn II, Terrance J
author_sort Merritt, Margaret F
title Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
title_short Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
title_full Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
title_fullStr Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
title_full_unstemmed Using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
title_sort using perceptions of data accuracy and empirical weighting of information: assessment of a recreational fish population
publisher Canadian Science Publishing
publishDate 2000
url http://dx.doi.org/10.1139/f00-065
http://www.nrcresearchpress.com/doi/pdf/10.1139/f00-065
genre Coregonus pidschian
Humpback whitefish
pidschian
Alaska
genre_facet Coregonus pidschian
Humpback whitefish
pidschian
Alaska
op_source Canadian Journal of Fisheries and Aquatic Sciences
volume 57, issue 7, page 1459-1469
ISSN 0706-652X 1205-7533
op_rights http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
op_doi https://doi.org/10.1139/f00-065
container_title Canadian Journal of Fisheries and Aquatic Sciences
container_volume 57
container_issue 7
container_start_page 1459
op_container_end_page 1469
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