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- Rocha, Juan C., 1984-, et al.
(författare)
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Panarchy : ripples of a boundary concept
- 2022
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Ingår i: Ecology and Society. - 1708-3087. ; 27:3
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Tidskriftsartikel (refereegranskat)abstract
- How do social-ecological systems change over time? In 2002 C. S. Holling and colleagues proposed the concept of panarchy, which presented social-ecological systems as an interacting set of adaptive cycles, each produced by the dynamic tensions between novelty and efficiency at multiple scales. Initially introduced as a conceptual framework and set of metaphors, panarchy has gained the attention of scholars across many disciplines, and its ideas continue to inspire further conceptual developments. Almost 20 years after this concept was introduced, we reviewed how it has been used, tested, extended, and revised, through the combination of qualitative methods and machine learning. Document analysis was used to code panarchy features common to the scientific literature (N = 42), a qualitative analysis that was complemented with topic modeling of 2177 documents. We found that the adaptive cycle is the feature of panarchy that has attracted the most attention. Challenges remain in empirically grounding the metaphor, but recent theoretical and empirical work offer some avenues for future research.
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| 2. |
- Rieb, Jesse T., et al.
(författare)
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When, Where, and How Nature Matters for Ecosystem Services : Challenges for the Next Generation of Ecosystem Service Models
- 2017
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Ingår i: BioScience. - : Oxford University Press (OUP). - 0006-3568 .- 1525-3244. ; 67:9, s. 820-833
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Tidskriftsartikel (refereegranskat)abstract
- Many decision-makers are looking to science to clarify how nature supports human well-being. Scientists' responses have typically focused on empirical models of the provision of ecosystem services (ES) and resulting decision-support tools. Although such tools have captured some of the complexities of ES, they can be difficult to adapt to new situations. Globally useful tools that predict the provision of multiple ES under different decision scenarios have proven challenging to develop. Questions from decision-makers and limitations of existing decision-support tools indicate three crucial research frontiers for incorporating cutting-edge ES science into decision-support tools: (1) understanding the complex dynamics of ES in space and time, (2) linking ES provision to human well-being, and (3) determining the potential for technology to substitute for or enhance ES. We explore these frontiers in-depth, explaining why each is important and how existing knowledge at their cutting edges can be incorporated to improve ES decision-making tools.
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