A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems
We conducted a simulation study to evaluate performance of surplus production models (SPMs) with a time-varying intrinsic growth rate (SPMTVr) for stocks with predation-driven changes in productivity. Data sets were simulated using an age-structured, linked, predator-prey model of Atlantic menhaden...
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ftunivtoronto:oai:localhost:1807/96424 2023-05-15T17:45:42+02:00 A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems Nesslage, Geneviève M. Wilberg, Michael J 2019-04-02 http://hdl.handle.net/1807/96424 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0292 unknown NRC Research Press (a division of Canadian Science Publishing) 0706-652X http://hdl.handle.net/1807/96424 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0292 Article 2019 ftunivtoronto 2020-06-17T12:26:25Z We conducted a simulation study to evaluate performance of surplus production models (SPMs) with a time-varying intrinsic growth rate (SPMTVr) for stocks with predation-driven changes in productivity. Data sets were simulated using an age-structured, linked, predator-prey model of Atlantic menhaden (Brevoortia tyrannus), a forage fish native to the Northwest Atlantic, and Atlantic striped bass (Morone saxatilis), its primary predator, with differing time series of fishing mortality on both predator and prey. Simulations generated test data sets for Atlantic menhaden SPMs that included either a static or time-varying intrinsic growth rate parameter. The SPMTVr largely produced more accurate, less variable estimates of exploitation rate and biomass than models with static intrinsic growth. We also applied SPMTVr to empirical Atlantic menhaden catch and survey data for 1964-2016. The SPMTVr fit the survey data well, estimated an intrinsic growth rate time series that mirrored long-term juvenile survey trends, and produced biomass and exploitation rate trends that mirrored a statistical catch-at-age model. The SPMTVr estimated dynamic, MSY-based reference points that reflected changing stock productivity. The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author. Article in Journal/Newspaper Northwest Atlantic University of Toronto: Research Repository T-Space |
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Open Polar |
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University of Toronto: Research Repository T-Space |
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ftunivtoronto |
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description |
We conducted a simulation study to evaluate performance of surplus production models (SPMs) with a time-varying intrinsic growth rate (SPMTVr) for stocks with predation-driven changes in productivity. Data sets were simulated using an age-structured, linked, predator-prey model of Atlantic menhaden (Brevoortia tyrannus), a forage fish native to the Northwest Atlantic, and Atlantic striped bass (Morone saxatilis), its primary predator, with differing time series of fishing mortality on both predator and prey. Simulations generated test data sets for Atlantic menhaden SPMs that included either a static or time-varying intrinsic growth rate parameter. The SPMTVr largely produced more accurate, less variable estimates of exploitation rate and biomass than models with static intrinsic growth. We also applied SPMTVr to empirical Atlantic menhaden catch and survey data for 1964-2016. The SPMTVr fit the survey data well, estimated an intrinsic growth rate time series that mirrored long-term juvenile survey trends, and produced biomass and exploitation rate trends that mirrored a statistical catch-at-age model. The SPMTVr estimated dynamic, MSY-based reference points that reflected changing stock productivity. The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author. |
format |
Article in Journal/Newspaper |
author |
Nesslage, Geneviève M. Wilberg, Michael J |
spellingShingle |
Nesslage, Geneviève M. Wilberg, Michael J A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
author_facet |
Nesslage, Geneviève M. Wilberg, Michael J |
author_sort |
Nesslage, Geneviève M. |
title |
A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
title_short |
A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
title_full |
A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
title_fullStr |
A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
title_full_unstemmed |
A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
title_sort |
performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems |
publisher |
NRC Research Press (a division of Canadian Science Publishing) |
publishDate |
2019 |
url |
http://hdl.handle.net/1807/96424 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0292 |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_relation |
0706-652X http://hdl.handle.net/1807/96424 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0292 |
_version_ |
1766148919380672512 |