Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An empirical model of the Baltic Sea reveals the importance of social dynamics for ecological regime shifts
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Stockholm University, Nordic Institute for Theoretical Physics (Nordita).
Stockholm University, Faculty of Science, Stockholm Resilience Centre.
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-3201-9262
Stockholm University, Faculty of Science, Stockholm Resilience Centre.
Show others and affiliations
Number of Authors: 9
2015 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 112, no 35, 11120-11125 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2015. Vol. 112, no 35, 11120-11125 p.
Keyword [en]
social-ecological systems, fisheries, generalized modeling, human decision making, feedback analysis
National Category
Biological Sciences Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-121495DOI: 10.1073/pnas.1504954112ISI: 000360383200078OAI: oai:DiVA.org:su-121495DiVA: diva2:860600
Available from: 2015-10-13 Created: 2015-10-05 Last updated: 2017-12-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Lade, Steven J.Niiranen, SusaHentati-Sundberg, JonasBlenckner, ThorstenBoonstra, Wiebren J.Orach, KirillÖsterblom, HenrikSchlüter, Maja
By organisation
Stockholm Resilience CentreNordic Institute for Theoretical Physics (Nordita)
In the same journal
Proceedings of the National Academy of Sciences of the United States of America
Biological SciencesEarth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf