A multiscale analysis of social-ecological system robustness and vulnerability in Cornwall, UK
A multiscale analysis of social-ecological system robustness and vulnerability in Cornwall, UK
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英国康沃尔郡社会生态系统稳健性和脆弱性的多尺度分析
DOI:
10.1007/s10113-019-01530-7
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发表时间:
2019
影响因子:
4.2
通讯作者:
Naylor L
中科院分区:
文献类型:
--
作者:
Naylor L
Understanding social-ecological system (SES) feedbacks and interactions is crucial to improving societal resilience to growing environmental challenges. Social-ecological systems are usually researched at one of two spatial scales: local placed-based empirical studies or system-scale modelling, with limited efforts to date exploring the merits of combining these two analytical approaches and scales. Here, we take a multiscale interdisciplinary approach to elucidate the social dynamics underpinning cross-sectoral feedbacks and unintended consequences of decision-making that can affect social-ecological system vulnerability unexpectedly. We combined empirical place-based research with the Robustness Framework, a dynamic system level analysis platform, to analyse the characteristics and robustness of a coastal SES in Cornwall, UK. Embedding place-based empirical analysis into a broader institutional framework revealed SES feedbacks and “maladaptations”. We find that decentralisation efforts coupled with government austerity measures amplify second-order (reputational) risks. This prompted temporal policy trade-offs, which increased individual and community vulnerability and reduced social-ecological system robustness, impeding local adaptation to climate change. We identify opportunities to ameliorate these maladaptations by (1) implementing coordination rules that can guide policymakers in instances of conflicting coastal management pressures, and (2) recognising how second-order risks influence decision-making. This work demonstrates the strengths of combining local and regional analyses to assess the robustness of social-ecological systems exposed to environmental changes, such as climate change and sea level rise. Our results show how analysis of the multiscale effects of climate policies, decision-making processes and second-order risks can usefully support local climate change adaptation planning.
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影响因子:
8.9
作者:
D. Demeritt;Sebastien Nobert
通讯作者:
Sebastien Nobert
影响因子:
5.4
作者:
M. Power;Tobias Scheytt;Kim Soin;K. Sahlin
通讯作者:
K. Sahlin
影响因子:
4.1
作者:
A. Barnett;J. Anderies
通讯作者:
J. Anderies
DOI:
10.18352/ijc.652
发表时间:
2016
期刊:
The International Journal of the Commons
影响因子:
--
作者:
Elicia Ratajczyk;Ute Brady;J. Baggio;A. Barnett;I. Pérez;N. Rollins;Cathy Rubiños;Hoon C. Shin;David J. Yu;R. Aggarwal;J. Anderies;M. Janssen
通讯作者:
M. Janssen
影响因子:
9.1
作者:
C. Termeer;A. Dewulf;Sylvia Karlsson;M. Vink;Michelle T. H. Vliet
通讯作者:
Michelle T. H. Vliet