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Adaptive management for ecosystem services

delete2016-12-01
delete64
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OA
AI
H
Hannah E. Birgé *
C
Craig R. Allen
A
Ahjond S. Garmestani
K
Kevin L. Pope
DOI:10.1016/j.jenvman.2016.07.054delete
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摘要

摘要

En 中文
Management of natural resources for the production of ecosystem services, which are vital for human well-being, is necessary even when there is uncertainty regarding system response to management action. This uncertainty is the result of incomplete controllability, complex internal feedbacks, and non linearity that often interferes with desired management outcomes, and insufficient understanding of nature and people. Adaptive management was developed to reduce such uncertainty. We present a framework for the application of adaptive management for ecosystem services that explicitly accounts for cross-scale tradeoffs in the production of ecosystem services. Our framework focuses on identifying key spatiotemporal scales (plot, patch, ecosystem, landscape, and region) that encompass dominant structures and processes in the system, and includes within- and cross-scale dynamics, ecosystem service tradeoffs, and management controllability within and across scales. Resilience theory recognizes that a limited set of ecological processes in a given system regulate ecosystem services, yet our understanding of these processes is poorly understood. If management actions erode or remove these processes, the system may shift into an alternative state unlikely to support the production of desired services. Adaptive management provides a process to assess the underlying within and cross-scale tradeoffs associated with production of ecosystem services while proceeding with management designed to meet the demands of a growing human population. (C) 2016 Elsevier Ltd. All rights reserved.
Keyword:
Complex systems
Scale
Social-ecological systems
Structured decision making
Sustainability
Uncertainty
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期刊

Journal of Environmental Management 封面图
Journal of Environmental Management
IF:
8.4
论文数:
2.8W
被引数:
13.7W

机构

U
University of Nebraska Lincoln
学者数:
7.8K
论文数: 6.5K
被引数: 2.0W
University of Nebraska System 封面图
University of Nebraska System
学者数:
2.7W
论文数: 2.3W
被引数: 58
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