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Adaptive Epistemologies: Conceptualizing Adaptation to Climate Change in Environmental Science

机译:自适应认识位理:概念化适应环境科学气候变化的适应

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This article explores how scientists adapt to a changing climate. To do this, we bring examples from a case study of salmon habitat restorationists in the Columbia River Basin into conversation with concepts from previous work on change and stability in knowledge infrastructures and scientific practice. In order to adapt, ecological restorationists are increasingly relying on predictive modeling tools, as well as initiating broader changes in the interdisciplinary nature of the field of ecological restoration itself. We explore how the field of ecological restoration is shifting its conceptual gaze from restoring to past, historic baselines to anticipating a no-analog future and consider what this means in terms of understanding the adaptive capacity of knowledge infrastructures and epistemic communities more broadly. We argue that identifying how scientists themselves conceptualize drivers of change and respond to these changes is an important step in understanding what adaptive capacity in science might entail. We offer these examples as a provocation for thinking about "adaptive epistemologies" and how adaptation by scientists themselves can facilitate or hinder particular environmental or sociotechnical futures.
机译:本文探讨了科学家如何适应变化的气候。为此,我们从哥伦比亚河流域鲑鱼栖息地恢复分子的案例提出了一个例子,进入与以前的知识基础设施和科学实践中变革和稳定的概念的对话。为了适应,生态恢复分子越来越依赖于预测性建模工具,并启动生态修复领域的跨学科性质的更广泛的变化。我们探讨生态恢复领域如何将其概念凝视从恢复到过去,历史的基准,以期望无模式未来,并考虑更广泛地了解知识基础设施和认识社区的自适应能力。我们认为,识别科学家自己如何概念化改变的驱动因素,并回应这些变化是了解科学适应能力可能需要的重要性。我们将这些例子作为思考“自适应认识学”的挑衅以及科学家自身的适应如何促进或阻碍特定的环境或社会技术期货。

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