{"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.
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