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Adapting the social-ecological system framework for urban stormwater management: the case of green infrastructure adoption Ecology and Society
Flynn, Carli D.; Department of Civil and Environmental Engineering, Syracuse University; cflynn@syr.edu; Davidson, Cliff I.; Department of Civil and Environmental Engineering, Syracuse University; Syracuse Center of Excellence in Environmental and Energy Systems; davidson@syr.edu.
Stormwater management has long been a critical societal and environmental challenge for communities. An increasing number of municipalities are turning to novel approaches such as green infrastructure to develop more sustainable stormwater management systems. However, there is a need to better understand the technological decision-making processes that lead to specific outcomes within urban stormwater governance systems. We used the social-ecological system (SES) framework to build a classification system for identifying significant variables that influence urban stormwater governance decisions related to green infrastructure adoption. To adapt the framework, we relied on findings from observations at national stormwater meetings in combination with a...
Tipo: Peer-Reviewed Reports Palavras-chave: Green infrastructure; Social-ecological systems framework; Stormwater management; Technology adoption.
Ano: 2016
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Using Artificial Neural Networks for the Analysis of Social-Ecological Systems Ecology and Society
Frey, Ulrich J.; Center for Philosophy and the Foundations of Science, Justus Liebig University; ulifrey@yahoo.com; Rusch, Hannes; Center for Philosophy and the Foundations of Science, Justus Liebig University ; hannes.rusch@tum.de.
The literature on common pool resource (CPR) governance lists numerous factors that influence whether a given CPR system achieves ecological long-term sustainability. Up to now there is no comprehensive model to integrate these factors or to explain success within or across cases and sectors. Difficulties include the absence of large-N studies, the incomparability of single case studies, and the interdependence of factors. We propose (1) a synthesis of 24 success factors based on the current social-ecological systems (SES) framework and a literature review and (2) the application of neural networks on a database of CPR management case studies in an attempt to test the viability of this synthesis. This method allows us to obtain an implicit quantitative...
Tipo: Peer-Reviewed Reports Palavras-chave: Common pool resource; Design principles; Natural resource management; Neural networks; Social-ecological systems framework; Success factors.
Ano: 2013
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