https://scholars.lib.ntu.edu.tw/handle/123456789/401598
標題: | Fluctuating interaction network and time-varying stability of a natural fish community | 作者: | Masayuki Ushio CHIH-HAO HSIEH Reiji Masuda Ethan R Deyle CHUN-WEI CHANG George Sugihara Michio Kondoh |
公開日期: | 2018 | 卷: | 554 | 期: | 7692 | 起(迄)頁: | 360-363 | 來源出版物: | Nature | 摘要: | Ecological theory suggests that large-scale patterns such as community stability can be influenced by changes in interspecific interactions that arise from the behavioural and/or physiological responses of individual species varying over time. Although this theory has experimental support, evidence from natural ecosystems is lacking owing to the challenges of tracking rapid changes in interspecific interactions (known to occur on timescales much shorter than a generation time) and then identifying the effect of such changes on large-scale community dynamics. Here, using tools for analysing nonlinear time series and a 12-year-long dataset of fortnightly collected observations on a natural marine fish community in Maizuru Bay, Japan, we show that short-term changes in interaction networks influence overall community dynamics. Among the 15 dominant species, we identify 14 interspecific interactions to construct a dynamic interaction network. We show that the strengths, and even types, of interactions change with time; we also develop a time-varying stability measure based on local Lyapunov stability for attractor dynamics in non-equilibrium nonlinear systems. We use this dynamic stability measure to examine the link between the time-varying interaction network and community stability. We find seasonal patterns in dynamic stability for this fish community that broadly support expectations of current ecological theory. Specifically, the dominance of weak interactions and higher species diversity during summer months are associated with higher dynamic stability and smaller population fluctuations. We suggest that interspecific interactions, community network structure and community stability are dynamic properties, and that linking fluctuating interaction networks to community-level dynamic properties is key to understanding the maintenance of ecological communities in nature. © 2018 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-85042169610&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/401598 |
DOI: | 10.1038/nature25504 | SDG/關鍵字: | community dynamics; data set; ecological theory; fish; interspecific interaction; physiological response; species diversity; time series; timescale; anchovy; Article; community dynamics; Engraulis japonicus; fluctuating interaction network; information processing; Japan; limit of quantitation; nonhuman; population dynamics; population productivity; priority journal; species diversity; theory; time series analysis; time varying stability; animal; biodiversity; classification; ecosystem; fish; physiology; predation; season; statistical model; time factor; Honshu; Japan; Kinki; Kyoto [Kinki]; Maizuru Bay; Animals; Biodiversity; Ecosystem; Fishes; Japan; Linear Models; Population Dynamics; Predatory Behavior; Seasons; Time Factors |
顯示於: | 海洋研究所 |
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