Integrating socio-economics and ecology: a taxonomy of quantitative methods and a review of their use in agro-ecology
Integrating socio-economics and ecology: a taxonomy of quantitative methods and a review of their use in agro-ecology
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社会经济学与生态学的结合：定量方法的分类及其在农业生态学中的应用回顾
DOI：
10.1111/j.1365-2664.2009.01615.x
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发表时间：
2009
影响因子：
5.7
通讯作者：
Cooke I
中科院分区：
文献类型：
--
作者：
Cooke I
1回答保护、发展和环境管理中的许多关键问题需要整合社会科学和自然科学。然而，理解一系列可用的量化方法及其相关术语是成功合作的主要障碍。2我们概述了将其复杂性提炼成简单分类的量化社会经济方法。3我们回顾了社会和生态定量概念在农业生态学中的应用，并对用于整合这两个学科的方法进行了分类。我们的综述包括了从2003年到2008年在27种发表农业模型研究的期刊上发表的所有综合模型。虽然我们的重点是农业生态学，但许多结果广泛适用于其他涉及人类活动和生态相互作用的领域。4我们发现36篇论文在量化模型中整合了社会和生态概念。根据量化人类福利的规模，使用了四种不同的融合方法。大多数模型将人类视为纯粹的利润最大化者，无论是在计算福利还是预测行为时都是如此。根据我们的分类和综述，我们得出了两个主要结论。首先，将行为预测和福利衡量扩展到简单的市场价值基础之外的量化方法，在综合模型中没有得到充分利用。第二个问题是，综合模型的预测精度在很大程度上仍未量化。解决这两个问题需要研究人员在项目的早期阶段对建模目标和数据要求达成共识。
1Answering many of the critical questions in conservation, development and environmental management requires integrating the social and natural sciences. However, understanding the array of available quantitative methods and their associated terminology presents a major barrier to successful collaboration.2We provide an overview of quantitative socio‐economic methods that distils their complexity into a simple taxonomy. We outline how each has been used in conjunction with ecological models to address questions relating to the management of socio‐ecological systems.3We review the application of social and ecological quantitative concepts to agro‐ecology and classify the approaches used to integrate the two disciplines. Our review included all published integrated models from 2003 to 2008 in 27 journals that publish agricultural modelling research. Although our focus is on agro‐ecology, many of the results are broadly applicable to other fields involving an interaction between human activities and ecology.4We found 36 papers that integrated social and ecological concepts in a quantitative model. Four different approaches to integration were used, depending on the scale at which human welfare was quantified. Most models viewed humans as pure profit maximizers, both when calculating welfare and predicting behaviour.5Synthesis and applications. We reached two main conclusions based on our taxonomy and review. The first is that quantitative methods that extend predictions of behaviour and measurements of welfare beyond a simple market value basis are underutilized by integrated models. The second is that the accuracy of prediction for integrated models remains largely unquantified. Addressing both problems requires researchers to reach a common understanding of modelling goals and data requirements during the early stages of a project.