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首页> 外文期刊>Ecology and Society: a journal of integrative science for resilience and sustainability >Applying information network analysis to fire-prone landscapes: implications for community resilience
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Applying information network analysis to fire-prone landscapes: implications for community resilience

机译:将信息网络分析应用于易火景观:对社区适应力的影响

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Resilient communities promote trust, have well-developed networks, and can adapt to change. For rural communities in fire-prone landscapes, current resilience strategies may prove insufficient in light of increasing wildfire risks due to climate change. It is argued that, given the complexity of climate change, adaptations are best addressed at local levels where specific social, cultural, political, and economic conditions are matched with local risks and opportunities. Despite the importance of social networks as key attributes of community resilience, research using social network analysis on coupled human and natural systems is scarce. Furthermore, the extent to which local communities in fire-prone areas understand climate change risks, accept the likelihood of potential changes, and have the capacity to develop collaborative mitigation strategies is underexamined, yet these factors are imperative to community resiliency. We apply a social network framework to examine information networks that affect perceptions of wildfire and climate change in Central Oregon. Data were collected using a mailed questionnaire. Analysis focused on the residents’ information networks that are used to gain awareness of governmental activities and measures of community social capital. A two-mode network analysis was used to uncover information exchanges. Results suggest that the general public develops perceptions about climate change based on complex social and cultural systems rather than as patrons of scientific inquiry and understanding. It appears that perceptions about climate change itself may not be the limiting factor in these communities’ adaptive capacity, but rather how they perceive local risks. We provide a novel methodological approach in understanding rural community adaptation and resilience in fire-prone landscapes and offer a framework for future studies.
机译:弹性社区可以增进信任,拥有发达的网络,并且可以适应变化。对于易火地区的农村社区,鉴于气候变化导致野火风险增加,当前的复原力策略可能不足。有人认为,鉴于气候变化的复杂性,适应最好是在地方一级解决的,因为特定的社会,文化,政治和经济条件与当地的风险和机遇相匹配。尽管社交网络作为社区适应力的关键属性非常重要,但很少有人使用社交网络分析对人类和自然系统进行耦合研究。此外,对火灾多发地区的当地社区在多大程度上了解气候变化风险,接受潜在变化的可能性以及是否有能力制定协作性缓解策略的能力仍未得到充分审查,但是这些因素对于社区的适应能力至关重要。我们应用社交网络框架来检查影响俄勒冈州中部野火和气候变化感知的信息网络。使用邮寄的问卷收集数据。分析的重点是居民的信息网络,这些信息网络用于提高对政府活动和社区社会资本衡量的认识。使用两种模式的网络分析来发现信息交换。结果表明,一般公众是基于复杂的社会和文化系统而不是作为科学探究和理解的支持者来发展对气候变化的认识的。看来,对气候变化本身的认识可能不是这些社区适应能力的限制因素,而是他们如何看待当地风险。我们提供了一种新的方法论方法,以了解易火地区的农村社区适应能力和复原力,并为以后的研究提供了框架。

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