4.3 Article

Illuminating the intrinsic and extrinsic drivers of ecological stability across scales

期刊

ECOLOGICAL RESEARCH
卷 36, 期 3, 页码 364-378

出版社

WILEY
DOI: 10.1111/1440-1703.12214

关键词

community dynamics; empirical dynamic modeling; energy landscape analysis; metacommunity; time series

类别

资金

  1. British Ecological Society [TT19/1029]
  2. Core Research for Evolutional Science and Technology [JPMJCR13A2]
  3. Irish Research Council [GOIPG/2018/3023]
  4. Japan Science and Technology Agency [19H05641]
  5. Japan Society for the Promotion of Science [16H04846, JP20J10699]
  6. Grants-in-Aid for Scientific Research [19H05641] Funding Source: KAKEN

向作者/读者索取更多资源

Understanding of ecological stability is based on assumptions of scale, which limit the generalizable and mechanistic understanding of stability under global environmental change. Moving towards a multiscale approach allows for better understanding of the intrinsic and extrinsic drivers of ecological stability, and highlights the confounding effect of scale on the observation of ecological dynamics.
Our knowledge of ecological stability is built on assumptions of scale. These assumptions limit our ability to reach a generalizable and mechanistic understanding of stability under global environmental change. Moving towards a multiscale approach-across space, time and environment-will allow us to better understand the intrinsic (e.g., demographic) and extrinsic (environmental) drivers of ecological stability. In this perspective, we review multiple sources of variation responsible for shaping ecological dynamics, and how scale affects our observation of these dynamics through its confounding effect on drivers of variation in ecosystems. We discuss the effect of temporal scale when combining empirical dynamic modeling with high-resolution population time series to consider the time-varying nature of multispecies interaction networks, highlighting interspecific interactions as an intrinsic driver of community dynamics. Next, we examine energy landscape analysis as a method for inferring stability and transience during community assembly and its interaction with spatial scale, emphasizing the intrinsic role of compositional variability in assembly dynamics. We then examine population dynamics at species' range margins and show how considering the interaction between spatial and temporal environmental heterogeneity, an extrinsic driver of population dynamics, can facilitate a nuanced understanding of population expansions, range shifts, and species invasions. Finally, we discuss broadly how the sources of intrinsic and extrinsic variation interact with each other and with spatiotemporal scale to shape ecological dynamics. Better recognition of the scale-dependent nature of the relationship between drivers of variation and ecological dynamics will be invaluable to illuminate the dynamics influencing ecological stability across scales.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据