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利用社交网络研究改善自然资源管理成果。

Using social-network research to improve outcomes in natural resource management.

机构信息

School of Biological Sciences, Monash University, Wellington Road, Clayton, VIC, 3800, Australia.

School of Social Sciences, Monash University, Wellington Road, Clayton, VIC, 3800, Australia.

出版信息

Conserv Biol. 2019 Feb;33(1):53-65. doi: 10.1111/cobi.13127. Epub 2018 Aug 29.

Abstract

The conservation and management of natural resources operates in social-ecological systems in which resource users are embedded in social and environmental contexts that influence their management decisions. Characterizing social networks of resource users can be used to inform understanding of social influences on decision making, and social network analysis (SNA) has emerged as a useful technique to explore these relationships. We synthesized how SNA has been used in 85 studies of natural resource management. We considered how social networks and social processes (e.g., interactions between individuals) influence each other and in turn influence social outcomes (e.g., decisions or actions) that affect environmental outcomes (e.g., improved condition). Descriptive methods were used in 58% of the studies to characterize social processes, and 42% of the studies compared multiple networks or multiple points in time to assess social or environmental outcomes. In 4 studies, authors assessed network interventions intended to affect social processes or environmental outcomes. The heterogeneity in case studies, methods, and analyses preclude general lessons. Thus, to structure and further learning about the role of social networks in achieving environmental outcomes, we created a typology that deconstructs social processes, social outcomes, and environmental outcomes into themes and options of social and ecological measures within each. We suggest shifts in research foci toward intervention studies to aid in understanding causality and inform the design of conservation initiatives. There is a need to develop clearer justification and guidance around the proliferation of network measures. The use of SNA in natural resource management is expanding rapidly; thus, now is the time for the conservation community to build a more rigorous evidence base to demonstrate the extent to which social networks can play a role in achieving desired social and environmental outcomes.

摘要

自然资源的保护和管理是在社会-生态系统中进行的,其中资源使用者嵌入在影响其管理决策的社会和环境背景中。描述资源使用者的社会网络可以帮助我们了解社会对决策的影响,而社会网络分析(SNA)已成为探索这些关系的有用技术。我们综合了 SNA 在 85 项自然资源管理研究中的应用。我们考虑了社会网络和社会过程(例如,个体之间的相互作用)如何相互影响,并反过来影响影响环境结果(例如,改善状况)的社会结果(例如,决策或行动)。58%的研究使用描述性方法来描述社会过程,42%的研究比较了多个网络或多个时间点,以评估社会或环境结果。在 4 项研究中,作者评估了旨在影响社会过程或环境结果的网络干预措施。案例研究、方法和分析的异质性使得无法得出普遍的结论。因此,为了构建和进一步了解社会网络在实现环境结果中的作用,我们创建了一个分类法,将社会过程、社会结果和环境结果分解为每个主题的社会和生态措施的主题和选项。我们建议将研究重点转向干预研究,以帮助理解因果关系并为保护倡议的设计提供信息。需要围绕网络措施的扩散制定更明确的理由和指导。SNA 在自然资源管理中的应用正在迅速扩展;因此,现在是保护界建立更严格的证据基础的时候了,以展示社会网络在实现期望的社会和环境结果方面可以发挥的作用。

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