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Measurement, Collaborative Learning and Research for Sustainable Use of Ecosystem Services: Landscape Concepts and Europe as Laboratory
Authors:Per Angelstam  Michael Grodzynskyi  Kjell Andersson  Robert Axelsson  Marine Elbakidze  Alexander Khoroshev  Ivan Kruhlov  Vladimir Naumov
Institution:1. Faculty of Forest Sciences, School for Forest Management, Swedish University of Agricultural Sciences, PO Box 43, 730 91, Skinnskatteberg, Sweden
2. Department of Physical Geography and Geoecology, Taras Shevchenko National University of Kyiv, 2 Glushkov Avenue, GSP-680, Kiev, Ukraine
3. Department of Physical Geography and Landscape Science, Moscow Lomonosov State University, 1 Leninskiye Gory, GSP-1, 119991, Moscow, Russia
4. Faculty of Geography, Franko University of Lviv, Doroshenka Street 41, 79017, Lviv, Ukraine
Abstract:Policies at multiple levels pronounce the need to encompass both social and ecological systems in governance and management of natural capital in terms of resources and ecosystems. One approach to knowledge production and learning about landscapes as social–ecological systems is to compare multiple case studies consisting of large spaces and places. We first review the landscape concepts’ biophysical, anthropogenic, and intangible dimensions. Second, we exemplify how the different landscape concepts can be used to derive measurable variables for different sustainability indicators. Third, we review gradients in the three dimensions of the term landscape on the European continent, and propose to use them for the stratification of multiple case studies of social–ecological systems. We stress the benefits of the landscape concepts to measure sustainability, and how this can improve collaborative learning about development toward sustainability in social–ecological systems. Finally, analyses of multiple landscapes improve the understanding of context for governance and management.
Keywords:Sustainability  Landscape concepts  Social–ecological system  Case study  Collaborative learning  Transdisciplinary
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