Quantifying ecological and social drivers of ecological surprise

被引:16
|
作者
Filbee-Dexter, Karen [1 ]
Symons, Celia C. [2 ]
Jones, Kristal [3 ]
Haig, Heather A. [4 ]
Pittman, Jeremy [5 ]
Alexander, Steven M. [3 ,6 ]
Burke, Matthew J. [7 ,8 ]
机构
[1] Norwegian Inst Water Res, Marine Sect, Oslo, Norway
[2] Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, Santa Cruz, CA 95064 USA
[3] Univ Maryland, Natl Socioenvironm Synth Ctr, Annapolis, MD USA
[4] Univ Regina, Dept Biol, Limnol Lab, Regina, SK, Canada
[5] Univ Waterloo, Sch Planning, Fac Environm, Waterloo, ON, Canada
[6] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden
[7] McGill Univ, Dept Nat Resource Sci, Montreal, PQ, Canada
[8] McGill Univ, McGill Sch Environm, Montreal, PQ, Canada
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
ecological surprise; eutrophication; fishery collapse; mountain pine beetle; natural resource management; social-ecological system; spatial temporal mismatch; structural equation model; MANAGING ECOSYSTEMS; REGIME SHIFTS; SYSTEMS; RESILIENCE; SUSTAINABILITY; CONSERVATION; GOVERNANCE; FISHERIES; SHALLOW; FISH;
D O I
10.1111/1365-2664.13171
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
1. A key challenge facing ecologists and ecosystem managers is understanding what drives unexpected shifts in ecosystems and limits the effectiveness of human interventions. Research that integrates and analyses data from natural and social systems can provide important insight for unravelling the complexity of these dynamics. It is, therefore, a critical step towards the development of evidence-based, whole-system management approaches. 2. To examine our ability to influence ecosystems that are behaving in unexpected ways, we explore three prominent cases of "ecological surprise." We captured the social-ecological systems (SES) using key variables and interactions from Ostrom's SES framework, which integrates broader ecosystem processes (e.g. climate, connectivity), management variables (e.g. quotas, restrictions, monitoring), resource use behaviours (e.g. harvesting) and the resource unit (e.g. trees, fish, clean water) being managed. 3. Structural equation modelling revealed that management interventions often influenced resource use behaviours (e.g. rules and limits strongly affected harvest or pollution), but they did not have a significant effect on the abundance of the managed resource. Instead, most resource variability was related to ecological processes and feedbacks operating at broader spatial or temporal scales than management interventions, which locked the resource system into the degraded state.
引用
收藏
页码:2135 / 2146
页数:12
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