Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior

Population assessments of fish species often rely on data from surveys with different objectives such as measuring biodiversity or community dynamics. These surveys often contain spatial-temporal dependencies that can greatly influence conclusions drawn from analyses. Pygmy whitefish (PWF, Prosopium...

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Main Authors: van der Lee, Adam S., Vinson, Mark R., Koops, Marten A.
Format: Article in Journal/Newspaper
Language:unknown
Published: University of Toronto 2021
Subjects:
Online Access:http://hdl.handle.net/1807/110260
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2021-0155
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spelling ftunivtoronto:oai:tspace.library.utoronto.ca:1807/110260 2023-05-15T18:03:48+02:00 Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior van der Lee, Adam S. Vinson, Mark R. Koops, Marten A. 2021-10-05 application/pdf application/msword http://hdl.handle.net/1807/110260 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2021-0155 unknown University of Toronto 0706-652X http://hdl.handle.net/1807/110260 http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2021-0155 Article Article Post-Print 2021 ftunivtoronto 2022-02-27T18:22:05Z Population assessments of fish species often rely on data from surveys with different objectives such as measuring biodiversity or community dynamics. These surveys often contain spatial-temporal dependencies that can greatly influence conclusions drawn from analyses. Pygmy whitefish (PWF, Prosopium coulterii) populations in Lake Superior were recently assessed as Threatened by the Committee on the Status of Endangered Species in Canada which motivated a thorough analysis of available data to improve our understanding of its population status. The U.S. Geological Survey conducts annual bottom trawl surveys in Lake Superior that commonly captures PWF. We used these data (1989-2018) to model temporal trends in PWF biomass-density and make lake-wide population projections. We used a Bayesian approach, Integrated Nested Laplace Approximation (INLA), and compared the impact of including different random structures on model fit. Inclusion of spatial structure improved model fit and conclusions differed from models omitting random effects. PWF populations have experienced periodic fluctuations in biomass-density since 1989, though 2018 may represent the lowest density in the 30-year time series. Lake-wide biomass was estimated to be 71.5t. 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 Pygmy whitefish University of Toronto: Research Repository T-Space Canada Laplace ENVELOPE(141.467,141.467,-66.782,-66.782)
institution Open Polar
collection University of Toronto: Research Repository T-Space
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description Population assessments of fish species often rely on data from surveys with different objectives such as measuring biodiversity or community dynamics. These surveys often contain spatial-temporal dependencies that can greatly influence conclusions drawn from analyses. Pygmy whitefish (PWF, Prosopium coulterii) populations in Lake Superior were recently assessed as Threatened by the Committee on the Status of Endangered Species in Canada which motivated a thorough analysis of available data to improve our understanding of its population status. The U.S. Geological Survey conducts annual bottom trawl surveys in Lake Superior that commonly captures PWF. We used these data (1989-2018) to model temporal trends in PWF biomass-density and make lake-wide population projections. We used a Bayesian approach, Integrated Nested Laplace Approximation (INLA), and compared the impact of including different random structures on model fit. Inclusion of spatial structure improved model fit and conclusions differed from models omitting random effects. PWF populations have experienced periodic fluctuations in biomass-density since 1989, though 2018 may represent the lowest density in the 30-year time series. Lake-wide biomass was estimated to be 71.5t. 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 van der Lee, Adam S.
Vinson, Mark R.
Koops, Marten A.
spellingShingle van der Lee, Adam S.
Vinson, Mark R.
Koops, Marten A.
Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior
author_facet van der Lee, Adam S.
Vinson, Mark R.
Koops, Marten A.
author_sort van der Lee, Adam S.
title Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior
title_short Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior
title_full Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior
title_fullStr Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior
title_full_unstemmed Quantifying status and trends from monitoring surveys: application to Pygmy Whitefish (Prosopium coulterii) in Lake Superior
title_sort quantifying status and trends from monitoring surveys: application to pygmy whitefish (prosopium coulterii) in lake superior
publisher University of Toronto
publishDate 2021
url http://hdl.handle.net/1807/110260
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2021-0155
long_lat ENVELOPE(141.467,141.467,-66.782,-66.782)
geographic Canada
Laplace
geographic_facet Canada
Laplace
genre Pygmy whitefish
genre_facet Pygmy whitefish
op_relation 0706-652X
http://hdl.handle.net/1807/110260
http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2021-0155
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