Adaptive Epistemologies: Conceptualizing Adaptation to Climate Change in Environmental Science
Autor: | Jerrold A. Long, Shana Lee Hirsch |
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Rok vydání: | 2020 |
Předmět: |
Economics and Econometrics
geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Sociology and Political Science business.industry media_common.quotation_subject Ecology (disciplines) Environmental resource management Drainage basin Climate change 010501 environmental sciences 01 natural sciences Human-Computer Interaction Philosophy Habitat Anthropology Conversation business Adaptation (computer science) Restoration ecology Social Sciences (miscellaneous) 0105 earth and related environmental sciences media_common |
Zdroj: | Science, Technology, & Human Values. 46:298-319 |
ISSN: | 1552-8251 0162-2439 |
DOI: | 10.1177/0162243919898517 |
Popis: | 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. |
Databáze: | OpenAIRE |
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