Empirical evaluation of agricultural resilience to climate change: an application to the Indian state of Odisha

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Janmejaya Panda, Gopal Sharan Parashari
{"title":"Empirical evaluation of agricultural resilience to climate change: an application to the Indian state of Odisha","authors":"Janmejaya Panda, Gopal Sharan Parashari","doi":"10.1007/s00704-024-05154-8","DOIUrl":null,"url":null,"abstract":"<p>The escalating adversities of climate change increasingly jeopardise agriculture in coastal Indian states like Odisha. The significance of the agriculture sector for the state necessitates effectively mitigating the adverse climatic impacts. Strengthening the resilience of agriculture has been widely acknowledged as one of the most effective strategies for mitigating negative climatic impacts. Framing and implementing essential resilience-enhancing measures depends on a comprehensive preliminary assessment of existing resilience. This study estimates agricultural resilience to climate change in Odisha by constructing district-level composite indicators. The Principal Component Analysis and Analytic Hierarchy Process are employed to assign weights to a multidimensional set of indicators and aggregate them into composite indicators. In addition, the Cluster Analysis is employed to identify heterogeneity among the districts in terms of their agricultural resilience. The study finds that the coastal districts in the state have the lowest agricultural resilience, which may be attributed to the higher vulnerability of these districts to a number of climatic risks. The composite indicators further highlight the need for region-specific interventions. Similarly, the interplay of multiple social and environmental factors is found to influence resilience, underscoring crucial implications for public decision-making.</p>","PeriodicalId":22945,"journal":{"name":"Theoretical and Applied Climatology","volume":"4 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical and Applied Climatology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s00704-024-05154-8","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The escalating adversities of climate change increasingly jeopardise agriculture in coastal Indian states like Odisha. The significance of the agriculture sector for the state necessitates effectively mitigating the adverse climatic impacts. Strengthening the resilience of agriculture has been widely acknowledged as one of the most effective strategies for mitigating negative climatic impacts. Framing and implementing essential resilience-enhancing measures depends on a comprehensive preliminary assessment of existing resilience. This study estimates agricultural resilience to climate change in Odisha by constructing district-level composite indicators. The Principal Component Analysis and Analytic Hierarchy Process are employed to assign weights to a multidimensional set of indicators and aggregate them into composite indicators. In addition, the Cluster Analysis is employed to identify heterogeneity among the districts in terms of their agricultural resilience. The study finds that the coastal districts in the state have the lowest agricultural resilience, which may be attributed to the higher vulnerability of these districts to a number of climatic risks. The composite indicators further highlight the need for region-specific interventions. Similarly, the interplay of multiple social and environmental factors is found to influence resilience, underscoring crucial implications for public decision-making.

Abstract Image

农业抵御气候变化能力的经验评估:在印度奥迪沙邦的应用
气候变化带来的不利影响不断升级,日益危及奥迪沙邦等印度沿海邦的农业。农业部门对该邦意义重大,因此必须有效减轻不利的气候影响。加强农业的抗灾能力已被公认为是减轻不利气候影响的最有效战略之一。制定和实施基本的抗灾能力提升措施取决于对现有抗灾能力的全面初步评估。本研究通过构建地区级综合指标来评估奥迪沙邦农业对气候变化的适应能力。本研究采用主成分分析法和层次分析法为多维指标集分配权重,并将其汇总为综合指标。此外,还采用了聚类分析来确定各地区在农业复原力方面的异质性。研究发现,该州沿海地区的农业抗灾能力最低,这可能是因为这些地区更容易受到一些气候风险的影响。综合指标进一步凸显了针对具体地区采取干预措施的必要性。同样,多种社会和环境因素的相互作用也会影响复原力,这对公共决策具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信