Spatio-temporal Analyses of Marine Predator Diets from Data-rich and Data-limited Systems

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...

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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.
Format: Article in Journal/Newspaper
Language:unknown
Published: Digital Commons @ University of South Florida 2020
Subjects:
Online Access:https://digitalcommons.usf.edu/msc_facpub/1857
https://doi.org/10.1111/faf.12457
id ftusouthflorida:oai:digitalcommons.usf.edu:msc_facpub-2824
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spelling ftusouthflorida:oai:digitalcommons.usf.edu:msc_facpub-2824 2023-07-30T04:02:41+02:00 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. 2020-01-01T08:00:00Z https://digitalcommons.usf.edu/msc_facpub/1857 https://doi.org/10.1111/faf.12457 unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/msc_facpub/1857 doi:10.1111/faf.12457 https://doi.org/10.1111/faf.12457 Marine Science Faculty Publications diet proportions Poisson-link delta model predation pressure predator-expanded-stomach-contents spatio-temporal model stomach content data Life Sciences article 2020 ftusouthflorida https://doi.org/10.1111/faf.12457 2023-07-13T21:03:04Z 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 University of South Florida St. Petersburg: Digital USFSP Bering Sea Fish and Fisheries 21 4 718 739
institution Open Polar
collection University of South Florida St. Petersburg: Digital USFSP
op_collection_id ftusouthflorida
language unknown
topic diet proportions
Poisson-link delta model
predation pressure
predator-expanded-stomach-contents
spatio-temporal model
stomach content data
Life Sciences
spellingShingle diet proportions
Poisson-link delta model
predation pressure
predator-expanded-stomach-contents
spatio-temporal model
stomach content data
Life Sciences
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
topic_facet diet proportions
Poisson-link delta model
predation pressure
predator-expanded-stomach-contents
spatio-temporal model
stomach content data
Life Sciences
description 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.
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.
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 Digital Commons @ University of South Florida
publishDate 2020
url https://digitalcommons.usf.edu/msc_facpub/1857
https://doi.org/10.1111/faf.12457
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
genre_facet Bering Sea
op_source Marine Science Faculty Publications
op_relation https://digitalcommons.usf.edu/msc_facpub/1857
doi:10.1111/faf.12457
https://doi.org/10.1111/faf.12457
op_doi https://doi.org/10.1111/faf.12457
container_title Fish and Fisheries
container_volume 21
container_issue 4
container_start_page 718
op_container_end_page 739
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