The need for resilience in environmental impact assessment: Editorial
The need for resilience in environmental impact assessment: Editorial
复制标题
环境影响评估中复原力的必要性:社论
DOI:
10.1002/ieam.1972
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发表时间:
2017
影响因子:
3.1
通讯作者:
Seager, Thomas
中科院分区:
文献类型:
--
作者:
Wenning, Richard J;Apitz, Sabine E;Kapustka, Larry;Seager, Thomas
Ecological and social resilience have emerged globally as important considerations in impact assessment. Addressing resilience requires an understanding of the interconnectedness of environmental, social, and economic issues affecting the sustainability of ecosystems and human communities. However, indicators and tools for measuring resilience remain in early stages of understanding and development. Regulatory agencies and sponsors of large resource development and environmental rehabilitation projects have difficulties interpreting and verifying the potential for environmental recovery and resilience in the regulatory context of impact assessment. Resilience poses several challenges to traditional approaches to environmental assessment. For example, scientists ordinarily use marginal analysis in impact assessment, which lends itself to linear extrapolation to fill both knowledge and data gaps. At the ecosystem level, we know this is a poor approximation method. In particular, resilience has called attention to tipping points (or thresholds), at which ecosystem response becomes (abruptly) nonlinear. The challenge in impact assessment is understanding how complex ecological systems respond to stressors near these tipping points when the underlying protective factors or adaptive capacity of the system are undermined. It is generally understood there is no single cause for a particular response, although current legal frameworks emphasize simplistic understandings of cause–effect and liability.Resilience concepts are better suited for analytic perspectives that recognize the nonlinearity, feedback loops, and stochasticity that characterize ecosystems. Thus, resilience raises a new challenge for environmental managers and decision makers working in environmental contexts, namely:“What are the impacts of a management action on the sensing, anticipating, adapting, and learning processes of the system?”(Park et al. 2013).