4.8 Article

Turning back from the brink: Detecting an impending regime shift in time to avert it

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.0811729106

关键词

early warning indicator; ecological threshold; spectral density ratio

资金

  1. Fulbright fellowship
  2. North Temperate Lakes Long Term Ecological Research
  3. A.W. Mellon Foundation
  4. Vilas Trust
  5. National Science Foundation [SES-0518274, DEB 0715042]
  6. University of Wisconsin
  7. Direct For Biological Sciences
  8. Division Of Environmental Biology [822700] Funding Source: National Science Foundation

向作者/读者索取更多资源

Ecological regime shifts are large, abrupt, long-lasting changes in ecosystems that often have considerable impacts on human economies and societies. Avoiding unintentional regime shifts is widely regarded as desirable, but prediction of ecological regime shifts is notoriously difficult. Recent research indicates that changes in ecological time series (e. g., increased variability and autocorrelation) could potentially serve as early warning indicators of impending shifts. A critical question, however, is whether such indicators provide sufficient warning to adapt management to avert regime shifts. We examine this question using a fisheries model, with regime shifts driven by angling (amenable to rapid reduction) or shoreline development (only gradual restoration is possible). The model represents key features of a broad class of ecological regime shifts. We find that if drivers can only be manipulated gradually management action is needed substantially before a regime shift to avert it; if drivers can be rapidly altered aversive action may be delayed until a shift is underway. Large increases in the indicators only occur once a regime shift is initiated, often too late for management to avert a shift. To improve usefulness in averting regime shifts, we suggest that research focus on defining critical indicator levels rather than detecting change in the indicators. Ideally, critical indicator levels should be related to switches in ecosystem attractors; we present a new spectral density ratio indicator to this end. Averting ecological regime shifts is also dependent on developing policy processes that enable society to respond more rapidly to information about impending regime shifts.

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