气候变化脆弱性评估设计框架:洪都拉斯西部小农的案例

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
{"title":"气候变化脆弱性评估设计框架:洪都拉斯西部小农的案例","authors":"Yan Li, Claudia Caceres, Ali Mohammed Bazarah","doi":"10.17705/1cais.05304","DOIUrl":null,"url":null,"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.","PeriodicalId":47724,"journal":{"name":"Communications of the Association for Information Systems","volume":"31 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Climate Change Vulnerability Assessment Design Framework: The Case of Small-scale Farmers in Western Honduras\",\"authors\":\"Yan Li, Claudia Caceres, Ali Mohammed Bazarah\",\"doi\":\"10.17705/1cais.05304\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":47724,\"journal\":{\"name\":\"Communications of the Association for Information Systems\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications of the Association for Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17705/1cais.05304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications of the Association for Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17705/1cais.05304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Climate Change Vulnerability Assessment Design Framework: The Case of Small-scale Farmers in Western Honduras
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
期刊最新文献
MaCuDE IS Task Force Phase II Report: Views of Industry Leaders on Big Data Analytics and AI Learner Engagement with YouTube Videos in Informal Online Learning: An Investigation of the Effects of Segmenting, Signaling, and Weeding Blending Modalities, Pedagogies, and Technologies: Redesigning an Information Systems Course to Encourage Engagement Children’s E-Learning Interactions and Perceived Outcomes with Educational Key Opinion Leaders in China Indigenizing the IT Curriculum by Design
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1