What are the traits of a social-ecological system: towards a framework in support of urban sustainability

被引:0
作者
Erik Andersson
Dagmar Haase
Pippin Anderson
Chiara Cortinovis
Julie Goodness
Dave Kendal
Angela Lausch
Timon McPhearson
Daria Sikorska
Thilo Wellmann
机构
[1] Stockholm University,Stockholm Resilience Centre
[2] North-West University,Unit for Environmental Sciences
[3] Humboldt University Berlin,Geography Department
[4] Helmholtz Centre for Environmental Research–UFZ,Department Computational Landscape Ecology
[5] University of Cape Town,Department of Environmental and Geographical Science
[6] Lund University,Centre for Environmental and Climate Research
[7] University of Cape Town,Global Risk Governance Programme, Department of Public Law, Law Faculty
[8] University of Tasmania,School of Technology, Environments and Design
[9] The New School,Urban Systems Lab
[10] Cary Institute of Ecosystem Studies,Institute of Environmental Engineering, Department of Remote Sensing and Environmental Assessment
[11] Warsaw University of Life Sciences - SGGW,undefined
来源
npj Urban Sustainability | / 1卷
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摘要
To ensure that cities and urban ecosystems support human wellbeing and overall quality of life we need conceptual frameworks that can connect different scientific disciplines as well as research and practice. In this perspective, we explore the potential of a traits framework for understanding social-ecological patterns, dynamics, interactions, and tipping points in complex urban systems. To do so, we discuss what kind of framing, and what research, that would allow traits to (1) link the sensitivity of a given environmental entity to different globally relevant pressures, such as land conversion or climate change to its social-ecological consequences; (2) connect to human appraisal and diverse bio-cultural sense-making through the different cues and characteristics people use to detect change or articulate value narratives, and (3) examine how and under what conditions this new approach may trigger, inform, and support decision making in land/resources management at different scales.
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