The role of statistics in the analysis of ecosystem services
The role of statistics in the analysis of ecosystem services
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DOI：
10.1002/env.1107
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发表时间：
2011-08
期刊：
影响因子：
1.7
通讯作者：
R. Smith;J. Dick;E. Scott
中科院分区：
文献类型：
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作者：
R. Smith;J. Dick;E. Scott
将生态系统服务评估中隐含的整体方法付诸实施是一项挑战，需要将社会和经济因素与生态系统的物理、化学和生物功能结合起来。本文考虑了统计在生态系统服务分析提出的一系列框架中的作用。在生态系统服务评估框架的组成部分中，讨论了不同统计技术的使用，包括(1)数据可用性和抽样策略，(2)统计数据分析，(3)地理和空间模型，(4)元分析，(5)环境模型，(6)社会模型，(7)反馈和循环分析，以及(8)包括贝叶斯信念网络在内的图形模型。考虑了价值问题和对多元非货币估值的统计贡献的潜力。我们认为，统计学通过提供工具将组成要素及其不确定性联系在一起，为全面的生态系统服务评估提供了基础作用，并且应该成为这一发展中的跨学科研究领域的组成部分。版权所有©2011 John Wiley & Sons， Ltd
Operationalising the holistic approach implicit in an ecosystem services assessment is a challenge, incorporating social and economic considerations alongside the physical, chemical and biological function of ecosystems. The paper considers the role of statistics within a range of frameworks proposed for the analysis of ecosystem services. The use of different statistical techniques within the component parts of an ecosystem services assessment framework are discussed, including (1) data availability and sampling strategies, (2) statistical data analysis, (3) geography and spatial models, (4) meta‐analysis, (5) environmental models, (6) societal models, (7) feedbacks and loop analysis, and (8) graphical models including Bayesian belief networks. Issues of value and the potential for a statistical contribution to multivariate non‐monetary valuation are considered. We argue that statistics has an underpinning role by providing tools to link together the component elements along with their uncertainties for a thorough ecosystem services assessment, and should be an integral part of this developing inter‐disciplinary research area. Copyright © 2011 John Wiley & Sons, Ltd.