Managing for resilience: an information theory-based approach to assessing ecosystems

被引:31
|
作者
Eason, Tarsha [1 ]
Garmestani, Ahjond S. [1 ]
Stow, Craig A. [2 ]
Rojo, Carmen [3 ]
Alvarez-Cobelas, Miguel [4 ]
Cabezas, Heriberto [1 ,5 ]
机构
[1] US EPA, Natl Risk Management Res Lab, Cincinnati, OH 45268 USA
[2] NOAA, Great Lakes Environm Res Lab, Ann Arbor, MI 48108 USA
[3] Univ Valencia, Cavanilles Inst Biodivers & Evolutionary Biol, Valencia, Spain
[4] Spanish Natl Res Council, Natl Museum Nat Hist, Madrid, Spain
[5] Univ Pannonia, Dept Comp Sci & Syst Technol, H-8200 Veszprem, Hungary
关键词
ecosystems; Fisher information; indicators; indices; information theory; leading indicators; multivariate; regime shifts; resilience; EARLY-WARNING SIGNALS; REGIME SHIFTS; FISHER INFORMATION; INDICATORS; SUSTAINABILITY; TRANSITION; DROUGHT; TIME;
D O I
10.1111/1365-2664.12597
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
1. Ecosystems are complex and multivariate; hence, methods to assess the dynamics of ecosystems should have the capacity to evaluate multiple indicators simultaneously. 2. Most research on identifying leading indicators of regime shifts has focused on univariate methods and simple models which have limited utility when evaluating real ecosystems, particularly because drivers are often unknown. 3. We discuss some common univariate and multivariate approaches for detecting critical transitions in ecosystems and demonstrate their capabilities via case studies. 4. Synthesis and applications. We illustrate the utility of an information theory-based index for assessing ecosystem dynamics. Trends in this index also provide a sentinel of both abrupt and gradual transitions in ecosystems.
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页码:656 / 665
页数:10
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