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| Audouin, Michelle; Council for Scientific and Industrial Research ; maudouin@csir.co.za; Preiser, Rika; Centre for Studies in Complexity, Stellenbosch University ; rika@sun.ac.za; Nienaber, Shanna; Council for Scientific and Industrial Research; SNienaber@csir.co.za; Downsborough, Linda; Monash University ;; Lanz, Johann; ;; Mavengahama, Sydney; Department of Agriculture, University of Zululand ;. |
| The complexity of social-ecological systems is well recognized (Berkes et al. 2003, Norberg and Cumming 2008). However, in the study of such systems, it is often the uncertainty that results from nonlinear interactions that forms the focus of discussion. Here, the normative implications of complexity for our knowledge of such systems are emphasised, by drawing largely on the work of Cilliers (1998, 2005a), who introduced the term "critical complexity." This perspective on complexity is distinct in bringing the value-based choices that frame our knowledge generation strategies to the fore. It is from this view that we investigate the implications of complexity for social-ecological systems research. Based on these implications, we propose a set of five key... |
| Tipo: Peer-Reviewed Synthesis |
Palavras-chave: Critical complexity; Freshwater conservation; Knowledge types; Social-ecological systems. |
| Ano: 2013 |
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| Partelow, Stefan; Leibniz Center for Tropical Marine Ecology (ZMT), Bremen, Germany; Jacobs University, Bremen, Germany; stefan.partelow@leibniz-zmt.de; Winkler, Klara J.; Carl-von-Ossietzky University Oldenburg, Oldenburg, Germany; klara.johanna.winkler@uni-oldenburg.de. |
| Structuring integrated social-ecological systems (SES) research remains a core challenge for achieving sustainability. Numerous concepts and frameworks exist, but there is a lack of mutual learning and orientation of knowledge between them. We focus on two approaches in particular: the ecosystem services concept and Elinor Ostrom’s diagnostic SES framework. We analyze the strengths and weaknesses of each and discuss their potential for mutual learning. We use knowledge types in sustainability research as a boundary object to compare the contributions of each approach. Sustainability research is conceptualized as a multi-step knowledge generation process that includes system, target, and transformative knowledge. A case study of the Southern... |
| Tipo: NON-REFEREED |
Palavras-chave: Boundary object; Knowledge types; Social-ecological systems; Sustainability science. |
| Ano: 2016 |
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