Modeling and understanding social-ecological knowledge diversity

被引:10
|
作者
Schwermer, Heike [1 ,2 ]
Aminpour, Payam [3 ,5 ]
Reza, Caitie [4 ]
Funk, Steffen [1 ]
Mollmann, Christian [1 ]
Gray, Steven [3 ]
机构
[1] Hamburg Univ, Inst Marine Ecosyst & Fishery Sci, Ctr Earth Syst Res & Sustainabil CEN, Hamburg, Germany
[2] Univ Kiel, Dept Econ, Ctr Ocean & Soc CeOS, Neufeldstr 10, D-24118 Kiel, Germany
[3] Michigan State Univ, Dept Community Sustainabil, E Lansing, MI 48824 USA
[4] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
[5] Johns Hopkins Univ, Dept Environm Hlth & Engn, Baltimore, MD USA
关键词
Baltic Sea; cod; fuzzy cognitive mapping; knowledge diversity; mental models; natural resource management; scenario analysis; social-ecological system; stakeholder engagement; ECOSYSTEM-BASED MANAGEMENT; REGIONAL ADVISORY COUNCILS; STAKEHOLDER KNOWLEDGE; FISHERIES; PARTICIPATION; CONFLICT;
D O I
10.1111/csp2.396
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The concept of social-ecological knowledge diversity (SEKD) provides a novel way of examining coupled human-environment interactions-it acknowledges differences in knowledge, values, and beliefs of stakeholder groups within social-ecological systems (SES). Thus, understanding and measuring SEKD is an essential component of sustainable management with implications for conflict resolution, collective action and policymaking. However, methods to efficiently define and model knowledge diversity are still underdeveloped. Using a semiquantitative cognitive mapping approach, we collected and analyzed stakeholder-specific knowledge and perceptions of the Western Baltic cod fishery to model SEKD. Results demonstrate substantial variation in perceptions across different individuals and social groups. SEKD was evident in (a) distinctive meanings attached to social factors relative to ecological factors, (b) causal relationships underlying the understanding of SES dynamics, and (c) social impacts of ecological changes on ecosystems (and vice versa). By identifying and representing knowledge-specific disparities in SES frameworks, our model explicitly improves the understanding of human-environment interactions with implications that could help reduce conflicts and legitimize management plans.
引用
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页数:11
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