4.8 Article

An empirical model of the Baltic Sea reveals the importance of social dynamics for ecological regime shifts

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1504954112

关键词

social-ecological systems; fisheries; generalized modeling; human decision making; feedback analysis

资金

  1. European Research Council under European Union/ERC [283950]
  2. Mistra
  3. Swedish Research Council Formas [2009-252, 2013-1293]
  4. Baltic Ecosystem Adaptive Management programme
  5. Nordic Centre for Research on Marine Ecosystems and Resources under Climate Change
  6. European Research Council (ERC) [283950] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

Regime shifts triggered by human activities and environmental changes have led to significant ecological and socioeconomic consequences in marine and terrestrial ecosystems worldwide. Ecological processes and feedbacks associated with regime shifts have received considerable attention, but human individual and collective behavior is rarely treated as an integrated component of such shifts. Here, we used generalized modeling to develop a coupled social-ecological model that integrated rich social and ecological data to investigate the role of social dynamics in the 1980s Baltic Sea cod boom and collapse. We showed that psychological, economic, and regulatory aspects of fisher decision making, in addition to ecological interactions, contributed both to the temporary persistence of the cod boom and to its subsequent collapse. These features of the social-ecological system also would have limited the effectiveness of stronger fishery regulations. Our results provide quantitative, empirical evidence that incorporating social dynamics into models of natural resources is critical for understanding how resources can be managed sustainably. We also show that generalized modeling, which is well-suited to collaborative model development and does not require detailed specification of causal relationships between system variables, can help tackle the complexities involved in creating and analyzing social-ecological models.

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

4.8
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