Community-based observing for social-ecological science: lessons from the Arctic
Community-based observing for social-ecological science: lessons from the Arctic
复制标题
基于社区的社会生态科学观测：北极的教训
DOI：
10.1002/fee.1798
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发表时间：
2018
影响因子：
10.3
通讯作者：
Kliskey, Andrew
中科院分区：
文献类型：
--
作者：
Griffith, David L.;Alessa, Lilian;Kliskey, Andrew
在过去的几十年里，由当地社区成员进行的环境监测和观察在美国和加拿大变得越来越普遍。在同一时期，社会生态系统（SES）科学已经发展到解释和预测人类和环境的相互作用，但经验方法来生成匹配的社会和生态数据集是罕见的。基于社区的观测（CBO）方法是在北极开发的，以允许在社会背景下产生环境数据，也非常适合为SES科学提供经验数据。基于社区的观测网络和系统（CBONS）和社区观察者论坛（COF）是社区成员，研究人员和政府机构之间合作开发的方法。在这里，我们描述了CBONS和COF方法，提供了它们的用法的例子，并提出了它们可以使经验SES科学受益的方法。最后，我们概述了努力扩大使用CBO新的知识和地理领域。
Environmental monitoring and observation by members of local communities have become increasingly common in the US and Canada over the past several decades. During the same period, social–ecological systems (SES) science has been developed to explain and predict human and environmental interactions, but empirical methods to generate matched social and ecological datasets are uncommon. Community‐based observing (CBO) methodologies were developed in the Arctic to allow for production of environmental data in a social context and are also well suited to provide empirical data for SES science. Community‐based observing networks and systems (CBONS) and community observer forums (COF) are methodologies developed from collaborations between community members, researchers, and government agencies. Here, we describe CBONS and COF methodologies, provide examples of their usage, and suggest ways in which they can benefit empirical SES science. We conclude by outlining efforts to expand the use of CBO to new knowledge and geographic domains.