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.

doi:10.1111/faf.12457

Cited by 32Marine and fisheries researchIsotope Analysis in EcologyMarine animal studies overview

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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·Fish and Fisheries

DOI 10.1111/faf.12457

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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.

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Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure
Sheik, A. G., Kumar, A., Ansari, F. A., Raj, V., Peleato, N. M., Patan, A. K., Kumari, S., & Bux, F. (2024) · Algal Research · doi:10.1016/j.algal.2024.103779 · Cited by 37

Application of loop-mediated isothermal amplification (LAMP) for rapid detection of Atlantic cod (Gadus morhua), Pacific cod (Gadus macrocephalus) and haddock (Melanogrammus aeglefinus)
Wang, Y., Feng, J., & Tian, X. (2019) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2019.07.003 · Cited by 29
A mitogenomic approach to the taxonomy of pollocks: Theragra chalcogramma and T. finnmarchica represent one single species
Ursvik, A., Breines, R., Christiansen, J. S., Fevolden, S., Coucheron, D. H., & Johansen, S. (2007) · BMC Evolutionary Biology · doi:10.1186/1471-2148-7-86 · Cited by 47
Differentiation of Groups of Cod Gadus morhua (Gadidae) in the North Atlantic: Constraints of the Model of Isolation by Distance
Строганов, А. Н., Орлов, А. М., Семенова, А. В., et al. (2019) · Biology Bulletin · doi:10.1134/s1062359019030129 · Cited by 1
On the spawning of the northern arctic cod Gadus morhua (Gadidae) in coastal waters of Murman
Филина, Е. А., & Trostyanskii, N. N. (2007) · Journal of Ichthyology · doi:10.1134/s0032945207010122 · Cited by 2
Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
Mion, M., Haase, S., Hemmer‐Hansen, J., Hilvarsson, A., Hüssy, K., Krüger‐Johnsen, M., Krumme, U., McQueen, K., Plikshs, M., Radtke, K., et al. (2020) · Fish and Fisheries · doi:10.1111/faf.12527 · Cited by 33

Authors: Grüss, A., Thorson, J. T., Carroll, G., Ng, E. L., Holsman, K. K., Aydin, K., Kotwicki, S., Morzaria‐Luna, H. N., Ainsworth, C. H., & Thompson, K. A.
Affiliations: University of Washington (US)
NOAA National Marine Fisheries Service (US)
National Oceanic and Atmospheric Administration (US)
Intercultural Center for the Study of Deserts and Oceans (US)
University of South Florida St. Petersburg (US)
Florida Fish and Wildlife Conservation Commission (US)
Corresponding author: Grüss, Arnaud
ORCID: 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.
Venue: Fish and Fisheries
Publisher: Wiley
Published: 2020-03-15
Volume: 21
Issue: 4
Pages: 718-739
ISSN: 1467-2960 (ISSN-L)
1467-2979
DOI: 10.1111/faf.12457
OpenAlex: W3011196952
Cited by: 32
References: 84
Citations by year: 2026: 2 · 2025: 4 · 2024: 5 · 2023: 7 · 2022: 6 · 2021: 4 · 2020: 4
FWCI: 1.95
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Fish and Fisheries (publishedVersion)
Digital Commons - University of South Florida (University of South Florida) (submittedVersion)
NOAA Institutional Repository (submittedVersion)
Funders: David and Lucile Packard Foundation (2019‐69067)
Topics: Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Marine and fisheries research
Physical Sciences › Environmental Science › Ecology › Isotope Analysis in Ecology
Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
Keywords: stomach content analysis, spatio-temporal modeling, predation pressure, walleye pollock, red grouper, Epinephelus morio, harmful algal blooms, data-limited fisheries, eastern Bering Sea, West Florida Shelf

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

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