A Climate Change Vulnerability Assessment Design Framework: The Case of Small-scale Farmers in Western Honduras

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications of the Association for Information Systems Pub Date : 2023-01-01 DOI:10.17705/1cais.05304
Yan Li, Claudia Caceres, Ali Mohammed Bazarah
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Abstract

Climate change is now affecting every known society. Small-scale farmers in low-income countries are especially vulnerable to climate change because they depend heavily on rain, seasonality patterns, and known temperature ranges. Prioritizing the efforts of building climate change resilience and adaptive capacity for small-scale farmers is essential in achieving Sustainable Development Goals 13, 1, and 2. An important first step towards those efforts is to assess the climate change vulnerability among the population. We propose a Climate Change Vulnerability Assessment Framework Design Framework (CCVA-DF) to guide the design of innovative digital CCVA solutions to enhance the adaptive capacity and climate change resilience of small-scale farmers. The framework outlines modern methods for vulnerability data collection and processing through Remote Sensing and GIS, advanced spatial analysis and modeling for measuring vulnerabilities, and visual analytics to support decision-making in the planning and implementation of suitable interventions. The framework is instantiated into a web application that is used by a real-world organization for transforming household resilience in Western Honduras. The CCVA-DF showcases novel measures of vulnerability using geospatial technology. It provides guidelines to design digital vulnerability assessment tools that can be used by researchers and practitioners worldwide to tackle climate change challenges.
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气候变化脆弱性评估设计框架:洪都拉斯西部小农的案例
气候变化正在影响每一个已知的社会。低收入国家的小农尤其容易受到气候变化的影响,因为他们严重依赖降雨、季节性模式和已知的温度范围。优先考虑建设小农的气候变化抵御能力和适应能力,对于实现可持续发展目标13、1和2至关重要。迈向这些努力的重要第一步是评估人口对气候变化的脆弱性。我们提出了气候变化脆弱性评估框架设计框架(CCVA- df),以指导设计创新的数字CCVA解决方案,以提高小农的适应能力和气候变化抵御能力。该框架概述了通过遥感和地理信息系统收集和处理脆弱性数据的现代方法,用于测量脆弱性的先进空间分析和建模,以及支持规划和实施适当干预措施决策的可视化分析。该框架被实例化为一个web应用程序,该应用程序被一个现实世界的组织用于转变洪都拉斯西部的家庭复原力。CCVA-DF展示了利用地理空间技术的脆弱性新措施。它提供了设计数字脆弱性评估工具的指导方针,可供世界各地的研究人员和从业者使用,以应对气候变化挑战。
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来源期刊
Communications of the Association for Information Systems
Communications of the Association for Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.90
自引率
20.00%
发文量
35
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