贫穷
粮食安全
可持续发展
背景(考古学)
原型
粮食不安全
环境资源管理
农业
环境规划
计算机科学
业务
地理
生态学
环境科学
经济
经济增长
艺术
文学类
考古
生物
作者
Juan Rocha,Katja Malmborg,Line Gordon,Kate A. Brauman,Fabrice DeClerck
标识
DOI:10.1088/1748-9326/ab666e
摘要
Abstract Achieving sustainable development goals requires targeting and monitoring sustainable solutions tailored to different social and ecological contexts. A social-ecological systems (SESs) framework was developed to help diagnose problems, identify complex interactions, and solutions tailored to each SES. Here we develop a data-driven method for upscaling the SES framework and apply it to a context where data is scarce, but also where solutions towards sustainable development are needed. The purpose of upscaling the framework is to create a tool that facilitates decision-making in data-scarce contexts. We mapped SES by applying the framework to poverty alleviation and food security issues in the Volta River basin in Ghana and Burkina Faso. We found archetypical configurations of SES in space, and discuss where agricultural innovations such as water reservoirs might have a stronger impact at increasing food availability and therefore alleviating poverty and hunger. We conclude by outlining how the method can be used in other SES comparative studies.
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