Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18527
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dc.contributor.authorKumar, Amiten_US
dc.contributor.authorMohanasundari, Thangavelen_US
dc.date.accessioned2026-07-09T06:42:06Z-
dc.date.available2026-07-09T06:42:06Z-
dc.date.issued2026-
dc.identifier.citationKumar, A., & Mohanasundari. (2026b). Correction to: Assessing district-level climate vulnerability in Madhya Pradesh, Central India: an integrated environmental and socio-economic approach (Theoretical and Applied Climatology, (2024), 155, 4, (3449-3471), 10.1007/s00704-023-04814-5). Theoretical and Applied Climatology, 157(6). https://doi.org/10.1007/s00704-026-06262-3en_US
dc.identifier.issn0177-798X-
dc.identifier.otherEID(2-s2.0-105039510225)-
dc.identifier.urihttps://dx.doi.org/10.1007/s00704-026-06262-3-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18527-
dc.description.abstractIn this article, it is necessary to rectify the following inconsistencies in the Materials and methods section. The Environmental Vulnerability Index has been estimated by taking the simple average of the nine indicators of the eight variables (rainfall, maximum temperature, minimum temperature, dense forest, agricultural area, flood, drought, and forest fires). The Environmental Vulnerability Index has been estimated by taking the simple average of the eight indicators (rainfall, maximum temperature, minimum temperature, dense forest, agricultural area, flood, drought, and forest fires) of thirteen variables. The vulnerability index has been estimated by taking the simple average of the five indicators of nine variables (HDI, population density, socially deprived population, cultivators, and agricultural labourers). The Socio-economic Vulnerability Index has been estimated by taking the simple average of the five indicators (HDI, population density, socially deprived population, cultivators, and agricultural labourers) of thirteen variables. The original article has been corrected. � The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2026.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceTheoretical and Applied Climatologyen_US
dc.titleCorrection to: Assessing district-level climate vulnerability in Madhya Pradesh, Central India: an integrated environmental and socio-economic approach (Theoretical and Applied Climatology, (2024), 155, 4, (3449-3471), 10.1007/s00704-023-04814-5)en_US
dc.typeErratumen_US
dc.rights.licenseAll Open Access-
dc.rights.licenseBronze Open Access-
Appears in Collections:School of Humanities and Social Sciences

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