Solving problems in social-ecological systems: definition, practice and barriers of transdisciplinary research.

Solving problems in social-ecological systems: definition, practice and barriers of transdisciplinary research.
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DOI:
10.1007/s13280-012-0372-4
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发表时间:
2013-03
期刊:
影响因子:
6.5
通讯作者:
Stjernquist, Ingrid
Stjernquist, Ingrid
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Angelstam, Per;Andersson, Kjell;Annerstedt, Matilda;Axelsson, Robert;Elbakidze, Marine;Garrido, Pablo;Grahn, Patrik;Jonsson, K. Ingemar;Pedersen, Simen;Schlyter, Peter;Skarback, Erik;Smith, Mike;Stjernquist, Ingrid

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将可持续发展政策转化为社会进程和可持续性成果到社会生态系统的现实世界涉及到几个挑战。因此,研究政策提倡提高创新解决问题的能力。一种方法是跨学科研究,整合研究学科以及研究人员和实践者。借鉴 14 条解决问题的经验,我们使用群体建模来绘制研究人员和从业者联合知识生产和跨学科研究学习的感知障碍和桥梁。分析表明,跨学科研究过程受到以下因素的影响:(1)传统学科正式和非正式控制的数量,(2)项目申请的调整以填补跨学科研究议程,(3)利益相关者的参与,以及(4)基于自我反思和经验丰富的领导力的职能团队建设/发展。我们重点关注绿色基础设施政策的实施作为提供生态系统服务和人类福祉的共同点,讨论如何诊断社会生态系统,并利用知识生产和协作学习作为治疗方法。本文的在线版本 (doi:10.1007/s13280-012-0372-4) 包含补充材料,可供授权用户使用。
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. 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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