Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems

Abstract Accounting for variation in prey mortality and predator metabolic potential arising from spatial variation in consumption is an important task in ecology and resource management. However, there is no statistical method for processing stomach content data that accounts for fine‐scale spatio‐...

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Published in:Fish and Fisheries
Main Authors: Grüss, Arnaud, Thorson, James T., Carroll, Gemma, Ng, Elizabeth L., Holsman, Kirstin K., Aydin, Kerim, Kotwicki, Stan, Morzaria‐Luna, Hem N., Ainsworth, Cameron H., Thompson, Kevin A.
Other Authors: David and Lucile Packard Foundation
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2020
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Online Access:http://dx.doi.org/10.1111/faf.12457
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spelling crwiley:10.1111/faf.12457 2024-09-15T17:59:39+00:00 Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems Grüss, Arnaud Thorson, James T. Carroll, Gemma Ng, Elizabeth L. Holsman, Kirstin K. Aydin, Kerim Kotwicki, Stan Morzaria‐Luna, Hem N. Ainsworth, Cameron H. Thompson, Kevin A. David and Lucile Packard Foundation 2020 http://dx.doi.org/10.1111/faf.12457 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Ffaf.12457 https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12457 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/faf.12457 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Fish and Fisheries volume 21, issue 4, page 718-739 ISSN 1467-2960 1467-2979 journal-article 2020 crwiley https://doi.org/10.1111/faf.12457 2024-08-27T04:32:21Z Abstract Accounting for variation in prey mortality and predator metabolic potential arising from spatial variation in consumption is an important task in ecology and resource management. However, there is no statistical method for processing stomach content data that accounts for fine‐scale spatio‐temporal structure while expanding individual stomach samples to population‐level estimates of predation. Therefore, we developed an approach that fits a spatio‐temporal model to both prey‐biomass‐per‐predator‐biomass data (i.e. the ratio of prey biomass in stomachs to predator weight) and predator biomass survey data, to predict “predator‐expanded‐stomach‐contents” (PESCs). PESC estimates can be used to visualize either the annual landscape of PESCs (spatio‐temporal variation), or can be aggregated across space to calculate annual variation in diet proportions (variation among prey items and among years). We demonstrated our approach in two contrasting scenarios: a data‐rich situation involving eastern Bering Sea (EBS) large‐size walleye pollock ( Gadus chalcogrammus , Gadidae) for 1992–2015; and a data‐limited situation involving West Florida Shelf red grouper ( Epinephelus morio , Epinephelidae) for 2011–2015. Large walleye pollock PESC was predicted to be higher in very warm years on the Middle Shelf of the EBS, where food is abundant. Red grouper PESC was variable in north‐western Florida waters, presumably due to spatio‐temporal variation in harmful algal bloom severity. Our approach can be employed to parameterize or validate diverse ecosystem models, and can serve to address many fundamental ecological questions, such as providing an improved understanding of how climate‐driven changes in spatial overlap between predator and prey distributions might influence predation pressure. Article in Journal/Newspaper Bering Sea Wiley Online Library Fish and Fisheries 21 4 718 739
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Accounting for variation in prey mortality and predator metabolic potential arising from spatial variation in consumption is an important task in ecology and resource management. However, there is no statistical method for processing stomach content data that accounts for fine‐scale spatio‐temporal structure while expanding individual stomach samples to population‐level estimates of predation. Therefore, we developed an approach that fits a spatio‐temporal model to both prey‐biomass‐per‐predator‐biomass data (i.e. the ratio of prey biomass in stomachs to predator weight) and predator biomass survey data, to predict “predator‐expanded‐stomach‐contents” (PESCs). PESC estimates can be used to visualize either the annual landscape of PESCs (spatio‐temporal variation), or can be aggregated across space to calculate annual variation in diet proportions (variation among prey items and among years). We demonstrated our approach in two contrasting scenarios: a data‐rich situation involving eastern Bering Sea (EBS) large‐size walleye pollock ( Gadus chalcogrammus , Gadidae) for 1992–2015; and a data‐limited situation involving West Florida Shelf red grouper ( Epinephelus morio , Epinephelidae) for 2011–2015. Large walleye pollock PESC was predicted to be higher in very warm years on the Middle Shelf of the EBS, where food is abundant. Red grouper PESC was variable in north‐western Florida waters, presumably due to spatio‐temporal variation in harmful algal bloom severity. Our approach can be employed to parameterize or validate diverse ecosystem models, and can serve to address many fundamental ecological questions, such as providing an improved understanding of how climate‐driven changes in spatial overlap between predator and prey distributions might influence predation pressure.
author2 David and Lucile Packard Foundation
format Article in Journal/Newspaper
author Grüss, Arnaud
Thorson, James T.
Carroll, Gemma
Ng, Elizabeth L.
Holsman, Kirstin K.
Aydin, Kerim
Kotwicki, Stan
Morzaria‐Luna, Hem N.
Ainsworth, Cameron H.
Thompson, Kevin A.
spellingShingle Grüss, Arnaud
Thorson, James T.
Carroll, Gemma
Ng, Elizabeth L.
Holsman, Kirstin K.
Aydin, Kerim
Kotwicki, Stan
Morzaria‐Luna, Hem N.
Ainsworth, Cameron H.
Thompson, Kevin A.
Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
author_facet Grüss, Arnaud
Thorson, James T.
Carroll, Gemma
Ng, Elizabeth L.
Holsman, Kirstin K.
Aydin, Kerim
Kotwicki, Stan
Morzaria‐Luna, Hem N.
Ainsworth, Cameron H.
Thompson, Kevin A.
author_sort Grüss, Arnaud
title Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
title_short Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
title_full Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
title_fullStr Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
title_full_unstemmed Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
title_sort spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
publisher Wiley
publishDate 2020
url http://dx.doi.org/10.1111/faf.12457
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Ffaf.12457
https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12457
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/faf.12457
genre Bering Sea
genre_facet Bering Sea
op_source Fish and Fisheries
volume 21, issue 4, page 718-739
ISSN 1467-2960 1467-2979
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op_doi https://doi.org/10.1111/faf.12457
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