The role of regional climate projections in managing complex socio-ecological systems

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• 作者：Joseph David Daron ; Kate Sutherland ; Christopher Jack…
• 关键词：Resilience ; Uncertainty ; Adaptation ; Model projections ; Sensitivity
• 刊名：Regional Environmental Change
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：15
• 期：1
• 页码：1-12
• 全文大小：1,875 KB
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• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Geoecology and Natural Processes
  Geology
  Oceanography
  Geography
  Nature Conservation
  Regional Science
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1436-378X

文摘

Climate is one of many factors to be considered in adapting systems to environmental and societal change and often it is not the most important factor. Moreover, given considerable model inadequacies, irreducible uncertainties, and poor accessibility to model output, we may legitimately ask whether or not regional climate projections ought to have a central role in guiding climate change adaptation decisions. This question is addressed by analysing the value of regional downscaled climate model output in the management of complex socio-ecological systems (SESs) vulnerable to climate change. We demonstrate, using the example of the Dwesa–Cwebe region in South Africa, that the management of such systems under changing environmental and socio-economic conditions requires a nuanced and holistic approach that addresses cross-scale system interdependencies and incorporates “complexity thinking- We argue that the persistent focus on increasing precision and skill in regional climate projections is misguided and does not adequately address the needs of society. However, this does not imply that decision makers should exclude current and future generations of regional climate projections in their management processes. On the contrary, ignoring such information, however uncertain and incomplete, risks the implementation of maladaptive policies and practices. By using regional climate projections to further explore uncertainties and investigate cross-scale system dependencies, such information can be used to aid understanding of how SESs might evolve under alternative future societal and environmental scenarios.