4.8 Article

On the dimensionality of ecological stability

期刊

ECOLOGY LETTERS
卷 16, 期 4, 页码 421-429

出版社

WILEY-BLACKWELL
DOI: 10.1111/ele.12086

关键词

Ecosystem function; ellipsoid; extinction; invasion; multidimensional stability; persistence; resilience; resistance; robustness; variability

类别

资金

  1. EPA Ireland STRIVE grant [2008-FS-W-7-S5]
  2. Irish Research Council for Science, Engineering and Technology (IRCSET) Embark Postdoctoral Fellowship
  3. EPA Ireland STRIVE Fellowship [2007-FS-B-8-M5]
  4. Ramon y Cajal Fellowship [RYC-2008-03664]
  5. Spanish Ministry of Science [CGL2010-20091]
  6. Generalitat de Catalunya [2009SGR142]
  7. Microsoft Research through its PhD Scholarship Programme
  8. University of Zurich
  9. Irish Research Council for Science, Engineering and Technology (IRCSET)
  10. Marine Institute research project grant under the Sea Change initiative [PhD/FS/08/001]
  11. Environmental Protection Agency Ireland (EPA) [2007-FS-B-8-M5, 2008-FS-W-7-S5] Funding Source: Environmental Protection Agency Ireland (EPA)

向作者/读者索取更多资源

Ecological stability is touted as a complex and multifaceted concept, including components such as variability, resistance, resilience, persistence and robustness. Even though a complete appreciation of the effects of perturbations on ecosystems requires the simultaneous measurement of these multiple components of stability, most ecological research has focused on one or a few of those components analysed in isolation. Here, we present a new view of ecological stability that recognises explicitly the non-independence of components of stability. This provides an approach for simplifying the concept of stability. We illustrate the concept and approach using results from a field experiment, and show that the effective dimensionality of ecological stability is considerably lower than if the various components of stability were unrelated. However, strong perturbations can modify, and even decouple, relationships among individual components of stability. Thus, perturbations not only increase the dimensionality of stability but they can also alter the relationships among components of stability in different ways. Studies that focus on single forms of stability in isolation therefore risk underestimating significantly the potential of perturbations to destabilise ecosystems. In contrast, application of the multidimensional stability framework that we propose gives a far richer understanding of how communities respond to perturbations.

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