Causal effects of population dynamics and environmental changes on spatial variability of marine fishes

• Published in: Nature communications 2020-05, Vol.11 (1), p.2635-10, Article 2635
• Main Authors: Wang, Jheng-Yu, Kuo, Ting-Chun, Hsieh, Chih-hao
• Format: Article
• Language: English
• Subjects: 631/158/1745; 704/158; Abundance; Age; Age composition; Age Factors; Animals; Commercial fishing; Dynamic models; Dynamic stability; Ecosystem; Environment; Environmental changes; Environmental effects; Environmental factors; Fish; Fish populations; Fisheries; Fisheries - organization & administration; Fisheries management; Fishery management; Fishes; Fishing; Global Warming; Humanities and Social Sciences; Marine fish; Models, Biological; multidisciplinary; Natural populations; North Sea; Polls & surveys; Population; Population Dynamics; Population stability; Populations; Science; Science (multidisciplinary); Spatio-Temporal Analysis; Species; Species Specificity; Variability
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-020-16456-6

Populations with homogeneous distributions have better bet-hedging capacity than more heterogeneously distributed populations. Both population dynamics and environmental factors may influence the spatial variability of a population, but clear empirical evidence of such causal linkages is sparse. Using 25-year fish survey data from the North Sea, we quantify causal effects of age structure, abundance, and environment on nine fish species. We use empirical dynamic modeling—an approach based on state-space reconstruction rather than correlation—to demonstrate causal effects of those factors on population spatial variability. The causal effects are detected in most study species, though direction and strength vary. Specifically, truncated age structure elevates population spatial variability. Warming and spatially heterogeneous temperatures may enhance population spatial variability, whereas abundance and large-scale environmental effects are inconclusive. Fishing may affect population spatial variability directly or indirectly by altering age structure or abundance. We infer potential harmful effects of fishing and environmental changes on fish population stability, highlighting the importance of considering spatial dynamics in fisheries management. Extracting causality from time series on natural populations is challenging. Here the authors apply empirical dynamical modeling to 25 years of fish survey data from North Sea fisheries to quantify causal effects of age structure, abundance, and environment on population spatial variability, finding both common and species-specific patterns.