Literature DB >> 26283344

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

Steven J Lade1, Susa Niiranen2, Jonas Hentati-Sundberg2, Thorsten Blenckner2, Wiebren J Boonstra2, Kirill Orach2, Martin F Quaas3, Henrik Österblom2, Maja Schlüter2.   

Abstract

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.

Entities:  

Keywords:  feedback analysis; fisheries; generalized modeling; human decision making; social–ecological systems

Mesh:

Year:  2015        PMID: 26283344      PMCID: PMC4568251          DOI: 10.1073/pnas.1504954112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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