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Seeing the forest and the trees: Facilitating participatory network planning in environmental governance
Institution:1. The University of Belgrade, Faculty of Forestry, FOPER Master Programme, Kneza Vi?eslava 1, 11000 Belgrade, Serbia;2. Faculty of Environmental and Natural Resources, Institute of Environmental Social Sciences and Geography, University of Freiburg, Tennenbacher Str. 4, 79106 Freiburg, Germany;1. Forest and Nature Conservation Policy Group, Wageningen University, P.O. box 47, 6700, AA, Wageningen, the Netherlands;2. European Forest Institute, Yliopistokatu 6B, 80100 Joensuu, Finland;3. Department of Earth & Environmental Sciences, KU Leuven, Celestijnenlaan 200 E, box 2411, 3001 Leuven, Belgium;4. Natural Resources Institute Finland, Latokartanonkaari 9, 00790 Helsinki, Finland;5. Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark;6. University of Natural Resources and Life Sciences Vienna, Department of Economics and Social Sciences, Institute of Forest, Environmental and Natural Resource Policy, European Forest Institute Forest Policy Research Network, Feistmantelstrasse 4, 1180 Vienna, Austria;7. European Forest Institute, Platz der Vereinten Nationen 7, 53113 Bonn, Germany;8. Forest Science and Technology Centre of Catalonia, Carretera de Sant Llorenç, km 2, 25280 Solsona, Spain;9. University of Padua, Department of Land, Environment, Agriculture and Forestry TESAF, Viale dell''Università, 16, 35020 Legnaro, Italy;10. Faculty of Organic Agricultural Sciences, University of Kassel, Steinstraße 19, 37213 Witzenhausen, Germany;11. Department of Agricultural Economics and Rural Development, University of Göttingen, Platz der Göttinger Sieben 5, 37073 Göttingen, Germany;12. European Forest Institute- Mediterranean Facility, St. Antoni Maria Claret 167, 08025 Barcelona, Spain;13. University of Natural Resources and Life Sciences Vienna, Department of Forest and Soil Sciences, Institute of Silviculture, Peter Jordanstr. 82 1190, Vienna, Austria;1. University of Lleida-Agrotecnio Center, Avda Alcalde Rovira Roure, 191, 25198 Lleida, Spain;2. University of Padova, TESAF Department, Agripolis, Viale dell''Università, 16, Legnaro, 35020 Padova, Italy;3. Forest Sciences Center of Catalonia (CTFC), Forest Economics Department, European Forest Institute, Mediterranean Regional Office (EFIMED), St. Pau Art Nouveau Site, St. Leopold pavilion, St. Antoni Maria Claret, 167, 08025 Barcelona, Spain
Abstract:Governance processes to address environmental change involve many different actors from multiple spatial, temporal and socio-political scales, not all of whom are connected by hierarchy and whose actions cannot always be mandated. In the environmental governance literature, Social Network Analysis (SNA) has been found useful in understanding complex governance arrangements. In this paper we present and reflect on our experience with the Net-Map tool for participatory network mapping. The Net-Map tool was applied in three transdisciplinary case studies for three different purposes: (a) to contribute to an improved understanding of biodiversity knowledge flows in Europe, (b) to explore the interplay between actors with influence on water, agriculture, and energy developments at the Blue Nile in Ethiopia, and (c) to understand the challenges facing stakeholders engaged in conservation and economic development in a Southeast Asian mountain range. The case studies explore how network maps can serve as boundary objects to engage stakeholders of diverse points of view and jointly design strategies to address governance challenges. More specifically they show how network maps are used to gain a better understanding of governance situations, to help stakeholders identify strategies for navigation of the complex networks in which they are embedded and to support transdisciplinary research processes. We close with some reflections on the potential and limitations of the Net-Map tool in facilitating multi-stakeholder processes and disentangling complex governance arrangements.
Keywords:Social Network Analysis  Transdisciplinary research methods  Social learning  Boundary objects  Visual network research  Co-production of knowledge
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