https://scholars.lib.ntu.edu.tw/handle/123456789/542377
標題: | Causal effects of population dynamics and environmental changes on spatial variability of marine fishes | 作者: | Wang, J.-Y. Kuo, T.-C. CHIH-HAO HSIEH |
公開日期: | 2020 | 卷: | 11 | 期: | 1 | 起(迄)頁: | - | 來源出版物: | Nature Communications | 摘要: | 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. © 2020, The Author(s). |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85085273085&partnerID=40&md5=b774fd9c8b5b83dcf807960ebfbd8732 https://scholars.lib.ntu.edu.tw/handle/123456789/542377 |
DOI: | 10.1038/s41467-020-16456-6 | SDG/關鍵字: | age structure; bet-hedging; environmental effect; fishery management; fishery survey; fishing; population dynamics; spatial variation; age distribution; article; environmental change; fish; fishery management; fishing; nonhuman; North Sea; population dynamics; quantitative analysis; warming; age; animal; biological model; ecosystem; environment; fishery; greenhouse effect; organization and management; population dynamics; spatiotemporal analysis; species difference; Atlantic Ocean; North Sea; Pisces; Age Factors; Animals; Ecosystem; Environment; Fisheries; Fishes; Global Warming; Models, Biological; North Sea; Population Dynamics; Spatio-Temporal Analysis; Species Specificity |
顯示於: | 海洋研究所 |
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