4.7 Article

Maladaptation to drought: a case report from California, USA

期刊

SUSTAINABILITY SCIENCE
卷 10, 期 3, 页码 491-501

出版社

SPRINGER JAPAN KK
DOI: 10.1007/s11625-014-0269-1

关键词

-

资金

  1. Panta Rhea Foundation
  2. Flora Family Foundation
  3. Pisces Foundation

向作者/读者索取更多资源

The interactions between natural water availability and societal water demand and management are complex. In response to gaps in empirical research of the adaptive capacity of social and environmental systems to climate stresses, we provide an assessment of responses to water scarcity during a multi-year drought in California. In particular, we use Barnett and O'Neill's (Global Environ Change 20: 211-213, 2010) criteria for maladaptation to examine responses in the agricultural and energy sectors to a multi-year (2007-2009) California drought. We conclude that despite evidence in both sectors of resiliency to the impacts of the drought, some of the coping strategies adopted increased the vulnerability of other systems. These other systems include California's aquatic ecosystems and social groups that rely on those ecosystems for their health or employment; future generations whose resources were drawn down in the near-term, where otherwise those resources would have been available at a later time; and current and future generations who were, or will be, exposed to the effects of increased greenhouse gas emissions. This case study demonstrates that California's current strategies for dealing with long or severe droughts are less successful than previously thought when short-and long-term impacts are evaluated together. This finding is particularly relevant given projections of more frequent and severe water shortages in the future due to climate change. This study recommends a shift from crisis-driven responses to the development and enactment of long-term mitigation measures that are anticipatory and focus on comprehensive risk reduction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据