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      Solving Problems in Social–Ecological Systems: Definition, Practice and Barriers of Transdisciplinary Research

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          Abstract

          Translating policies about sustainable development as a social process and sustainability outcomes into the real world of social–ecological systems involves several challenges. Hence, research policies advocate improved innovative problem-solving capacity. One approach is transdisciplinary research that integrates research disciplines, as well as researchers and practitioners. Drawing upon 14 experiences of problem-solving, we used group modeling to map perceived barriers and bridges for researchers’ and practitioners’ joint knowledge production and learning towards transdisciplinary research. The analysis indicated that the transdisciplinary research process is influenced by (1) the amount of traditional disciplinary formal and informal control, (2) adaptation of project applications to fill the transdisciplinary research agenda, (3) stakeholder participation, and (4) functional team building/development based on self-reflection and experienced leadership. Focusing on implementation of green infrastructure policy as a common denominator for the delivery of ecosystem services and human well-being, we discuss how to diagnose social–ecological systems, and use knowledge production and collaborative learning as treatments.

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          The online version of this article (doi:10.1007/s13280-012-0372-4) contains supplementary material, which is available to authorized users.

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          A general framework for analyzing sustainability of social-ecological systems.

          A major problem worldwide is the potential loss of fisheries, forests, and water resources. Understanding of the processes that lead to improvements in or deterioration of natural resources is limited, because scientific disciplines use different concepts and languages to describe and explain complex social-ecological systems (SESs). Without a common framework to organize findings, isolated knowledge does not cumulate. Until recently, accepted theory has assumed that resource users will never self-organize to maintain their resources and that governments must impose solutions. Research in multiple disciplines, however, has found that some government policies accelerate resource destruction, whereas some resource users have invested their time and energy to achieve sustainability. A general framework is used to identify 10 subsystem variables that affect the likelihood of self-organization in efforts to achieve a sustainable SES.
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            Promoting ecosystem and human health in urban areas using Green Infrastructure: A literature review

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              From millennium development goals to sustainable development goals.

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                Author and article information

                Contributors
                per.angelstam@slu.se,
                kjell.andersson@slu.se,
                matilda.annerstedt@slu.se,
                robert.axelsson@slu.se,
                marine.elbakidze@slu.se,
                pablo.garrido@slu.se,
                patrik.grahn@slu.se,
                ingemar.jonsson@hkr.se,
                simen.pedersen@hihm.no,
                peter.schlyter@natgeo.su.se,
                erik.skarback@slu.se,
                Mike.Smith@forestry.gsi.gov.uk,
                ingrid.stjernquist@natgeo.su.se,
                Journal
                Ambio
                Ambio
                Ambio
                Springer Netherlands (Dordrecht )
                0044-7447
                1654-7209
                10 March 2013
                10 March 2013
                March 2013
                : 42
                : 2
                : 254-265
                Affiliations
                [ ]Faculty of Forest Sciences, School for Forest Management, Swedish University of Agricultural Sciences, PO Box 43, 730 91 Skinnskatteberg, Sweden
                [ ]Department of Work Science, Business Economics & Environmental Psychology, Faculty of Landscape Planning, Horticulture and Agricultural Sciences, Swedish University of Agricultural Sciences, Box 88, 230 53 Alnarp, Sweden
                [ ]Faculty of Forest Sciences, School for Forest Management, Swedish University of Agricultural Sciences, PO Box 43, 739 21 Skinnskatteberg, Sweden
                [ ]School of Education and Environment, Kristianstad University, 291 88 Kristianstad, Sweden
                [ ]Department of Forestry and Wildlife Management, Faculty of Applied Ecology and Agricultural Sciences, Hedmark University College, 2480 Evenstad, Norway
                [ ]Environmental and Resource, Dynamics Group, Department of Physical Geography and Quaternary Geology, Stockholm University, 106 91 Stockholm, Sweden
                [ ]Forest Research, Northern Research Station, Centre for Human and Ecological Sciences, Roslin, Midlothian, EH25 9SY UK
                Article
                372
                10.1007/s13280-012-0372-4
                3593036
                23475660
                1dd02c02-f04d-4b01-a262-db69b12f14aa
                © The Author(s) 2013

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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                Custom metadata
                © Royal Swedish Academy of Sciences 2013

                Sociology
                research policy,sustainable development,sustainability,knowledge production,learning,green infrastructure

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