AON: Transitioning the Bering Sea Sub-Network to the Community-based Observation Netwrok for Adapatation and Security

在过去两年中，白令海子网络（BSSN，http：//www.bssn.net/）的成员提供了投入，并达成了共识，即白令海子网络需要朝着更广泛的数据方向发展，以便为适应制定更切实的衡量标准和指南。这一演变称为“社区适应和安全观测网络”，需要大约一年的过渡期。 该团队将以BSSN数据收集机制的关键要素为基础，但将其扩展，以包括更多感兴趣的变量，并将其置于社会文化背景下，以便北极社区和政府能够通过制定适应能力指数（ACI）来预测，计划和应对这些变化。 过渡年将使研究小组和白令海参与社区能够计划全面实施CONAS。 CONAS将在社会生态系统科学的框架内研究环境变化和反应。在社会经济地位方面，一个社区成功应对变化的能力被称为其适应能力。适应能力既反映了社区成员对其环境的敏感性，也反映了他们进行变革以使其不那么容易受到特定扰动影响的能力（Ensor and Berger 2009，威尔金森2012）。这种适应性反应的框架对于更好地使社区能够在不寻常或快速变化期间确定权衡范围及其后果至关重要（Alessa等人，2008年）。

Over the past two years members of the Bering Sea Sub-Network (BSSN, http://www.bssn.net/) have provided input and achieved consensus that BSSN needs to evolve toward a broader range of data for the purpose of developing more tangible metrics and guidelines for adaptation. This evolution, entitled the Community Observing Network for Adaptation and Security (CONAS) requires a bridging period of approximately one year. The team will build off of the key elements of the BSSN data collection mechanisms but expand these to include more variables of interest and place them in a sociocultural context so that arctic communities and governments will be able to anticipate, plan and respond to these changes through the development of Adaptive Capacity Indices (ACIs). A transition year will allow the research team and participating Bering Sea communities to plan for full implementation of CONAS. CONAS will examine environmental change and response within a framework of social-ecological system (SES) science. In an SES context, the ability of a community to respond successfully to change is referred to as its adaptive capacity. Adaptive capacity reflects both the sensitivity of community members to their environment and their ability to institute changes that make them less vulnerable to a given perturbation (Ensor and Berger 2009, Wilkinson 2012). This framing of adaptive responses is critical to better enable communities to identify the spectrum of tradeoffs and their consequences during unusual or rapid change (Alessa et al 2008).