Identifying Climate Adjacency for Enhancing Climate Action Using Systems Thinking and Modelling

被引:2
|
作者
Sharma, Kabir [1 ]
Mathur, Mihir [1 ]
机构
[1] DESTA Res LLP, New Delhi 110016, India
来源
SYSTEMS | 2021年 / 9卷 / 04期
关键词
climate change; climate adjacency; climate action; systems thinking; system dynamics modelling; participatory systems thinking; concept model; policy insights; adaptation; mitigation; social-ecological systems;
D O I
10.3390/systems9040083
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This paper presents findings from a process aimed at identifying the climate linkages of non-climate focused environment and development projects in India. Findings from four case studies based on workshops using participatory systems thinking are summarized. These climate adjacencies are documented as systems stories using the tools of systems thinking-behavior over time graphs and causal loop diagrams. These place-based stories highlight how the environment and development projects have linkages with climate change mitigation and adaptation. An attempt has been made to convert one of the systems stories into a computable simulation model using system dynamics modelling. A small concept model has been created thus and used to perform simulation runs. Four scenarios have been generated and the results discussed. Our learning from converting feedback maps into stock-flow models is presented. The insights generated from interpreting the feedback maps and simulation results are also presented. These insights are then compared and the benefits of simulation evaluated. The paper highlights the need to document climate linkages of non-climate-focused development projects and the benefit of converting systems stories into simulation models for developing operational insights. The important role such methods can play in developing capacities for enhancing climate action is also discussed.
引用
收藏
页数:22
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