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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2020
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Online Access: | https://digitalcommons.usf.edu/msc_facpub/1857 https://doi.org/10.1111/faf.12457 |
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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 |
_version_ |
1772813503960186880 |