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Evaluating drivers of spatiotemporal individual condition of a bottom-associated marine fish

View ORCID ProfileMax Lindmark, View ORCID ProfileSean C. Anderson, View ORCID ProfileMayya Gogina, View ORCID ProfileMichele Casini
doi: https://doi.org/10.1101/2022.04.19.488709
Max Lindmark
aSwedish University of Agricultural Sciences, Department of Aquatic Resources, Institute of Marine Research, Turistgatan 5, 453 30 Lysekil, Sweden
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  • For correspondence: max.lindmark@slu.se
Sean C. Anderson
bPacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
cSimon Fraser University, Department of Mathematics, Burnaby, BC, Canada
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Mayya Gogina
dLeibniz Institute for Baltic Sea Research, Seestraße 15, 18119 Rostock, Germany
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Michele Casini
aSwedish University of Agricultural Sciences, Department of Aquatic Resources, Institute of Marine Research, Turistgatan 5, 453 30 Lysekil, Sweden
eUniversity of Bologna, Department of Biological, Geological and Environmental Sciences, Via Selmi 3, 40126 Bologna, Italy
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Abstract

An organism’s body condition describes its mass given its length and is often positively associated with fitness. The condition of Atlantic cod (Gadus morhua) in the Baltic Sea has declined dramatically since the early 1990s, possibly due to increased competition, food limitation, and hypoxia. However, the effect of biotic and abiotic variables on body condition have not been evaluated at local scales, which is important given spatial heterogeneity. We evaluate changes in distribution, experienced environmental conditions, and individual-level condition of cod in relation to covariates at different spatial scales using geostatistical models with spatial and spatiotemporal random effects. Oxygen, sprat biomass, and temperature were positively related to condition, and depth negatively associated, but the effect sizes of these variables were small—spatial and spatiotemporal latent variables explained almost five times more variation than fixed effects. We also show that accounting for the heterogenous distribution of cod leads to both lover levels and steeper trends over time in experienced oxygen compared to those in the environment. Understanding the drivers of spatiotemporal variation in body condition is critical for predicting responses to environmental change and to effective fishery management; yet low explanatory power of covariates on individual condition constitutes a major challenge.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted October 21, 2022.
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Evaluating drivers of spatiotemporal individual condition of a bottom-associated marine fish
Max Lindmark, Sean C. Anderson, Mayya Gogina, Michele Casini
bioRxiv 2022.04.19.488709; doi: https://doi.org/10.1101/2022.04.19.488709
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Evaluating drivers of spatiotemporal individual condition of a bottom-associated marine fish
Max Lindmark, Sean C. Anderson, Mayya Gogina, Michele Casini
bioRxiv 2022.04.19.488709; doi: https://doi.org/10.1101/2022.04.19.488709

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