Evaluating drivers of spatiotemporal variability in individual condition of a bottom-associated marine fish, Atlantic cod (Gadus morhua)

Author:

Lindmark M1ORCID,Anderson S C23,Gogina M4ORCID,Casini M15ORCID

Affiliation:

1. Department of Aquatic Resources, Swedish University of Agricultural Sciences, Institute of Marine Research , Turistgatan 5, 453 30 Lysekil , Sweden

2. Pacific Biological Station, Fisheries and Oceans Canada , Nanaimo, V9T 6N7 BC , Canada

3. Department of Mathematics, Simon Fraser University , Burnaby, V5A 1S6 BC , Canada

4. Leibniz Institute for Baltic Sea Research , Seestraße 15, 18119 Rostock , Germany

5. Department of Biological, Geological and Environmental Sciences, University of Bologna , Via Selmi 3, 40126 Bologna , Italy

Abstract

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 for food and hypoxia. However, the effects 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. Sprat, Saduria entomon, temperature and oxygen were positively associated with condition, and depth was negatively associated. However, the effects of explanatory variables were small—spatial and spatiotemporal latent variables explained 5.7 times more variation than all covariates together (year excluded). Weighting environmental oxygen with local biomass densities revealed steeper declining trends compared to the unweighted oxygen in the environment, while the effect of weighting was less clear for condition. 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.

Funder

Swedish Research Council Formas

German Federal Ministry of Education and Research

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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