气候智能型农业促进可持续发展的指标、变革理论和影响途径:系统回顾

G.T. Girma, W.W. Petros
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引用次数: 0

摘要

气候变化是影响可持续发展的紧迫全球挑战之一,尤其是对发展中国家以雨水灌溉为主的农业而言。气候智能型农业(CSA)方法通过确保高生产率、提高适应能力和减少温室气体排放来回答这一问题。本系统性文献综述旨在概述 CSA 的指标、变化理论和影响途径,从而实现可持续发展。采用系统性研究方法,通过 PRISMA(系统性综述和元分析的首选报告项目)的四个阶段,即识别、资格审查、筛选和收录来选择综述文章。本研究共采用了 37 篇文章。以不同利益相关者(生产者、消费者、推广人员、政策制定者和机构、民间社会和私营部门)的行为变化来衡量的 CSA 干预措施可在可持续发展中发挥重要作用。
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Indicators, Theory of Change and Impact Pathways in Climate-smart Agriculture for Sustainable Development: A Systematic Review
Climate change is among the pressing global challenges affecting sustainable development, especially in the rain-fed-based agriculture of developing countries. Climate-smart agriculture (CSA) approach answers this question by ensuring high productivity, creating an improved adaptive capacity and reducing GHG emissions. This systematic literature review aims to provide an overview of the indicators, theory of change and impact pathways of CSA that lead to sustainable development. Using a systematic research method, four stages of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) namely, identification, eligibility, screening and included were used for selecting the articles reviewed. A total of 37 articles were then used for this study. CSA interventions measured by the behavioral changes resulting from different stakeholders (producers, consumers, extension workers, policymakers and institutions, civil society and the private sector) can play a significant role in sustainable development.
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