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Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis
The present study has mapped the hot spots vulnerable to changing climate and identified the underlying driving indicators in subtropical Trans and Upper Gangetic plains (TUGP) of India. The long-term trends indicate that the area between latitude 25 and 28° N has been more exposed to adverse climat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8736329/ https://www.ncbi.nlm.nih.gov/pubmed/35018137 http://dx.doi.org/10.1007/s10668-021-01997-7 |
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author | Choudhary, Bishwa Bhaskar Sirohi, Smita |
author_facet | Choudhary, Bishwa Bhaskar Sirohi, Smita |
author_sort | Choudhary, Bishwa Bhaskar |
collection | PubMed |
description | The present study has mapped the hot spots vulnerable to changing climate and identified the underlying driving indicators in subtropical Trans and Upper Gangetic plains (TUGP) of India. The long-term trends indicate that the area between latitude 25 and 28° N has been more exposed to adverse climatic changes especially rise in maximum summer/monsoon and minimum winter temperatures. The more predominant correlates of vulnerability in the region come not from the exposure to adverse meteorological conditions but from prevailing socio-economic conditions (adaptive capacity) and the increased environmental pressure (sensitivity). Among the top 40 most vulnerable districts in the TUGP, in about two-third, the exposure was at moderate to low level, but sensitivity was high and adaptive capacity very weak. Among the sensitivity indicators, the factor loadings, obtained through modified principal component technique, were high for average size of landholdings, Temperature Humidity Index load and productivity of paddy and wheat crops. Irrigation intensity, farm mechanization, cropping intensity, livestock density, proportion of milch animals stock, rural literacy rate and veterinary institutions were the critical factors in determining the adaptive capacity of a district. The study outlines range of research and policy imperatives for enhancing resilience of crop–livestock production system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10668-021-01997-7. |
format | Online Article Text |
id | pubmed-8736329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-87363292022-01-07 Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis Choudhary, Bishwa Bhaskar Sirohi, Smita Environ Dev Sustain Article The present study has mapped the hot spots vulnerable to changing climate and identified the underlying driving indicators in subtropical Trans and Upper Gangetic plains (TUGP) of India. The long-term trends indicate that the area between latitude 25 and 28° N has been more exposed to adverse climatic changes especially rise in maximum summer/monsoon and minimum winter temperatures. The more predominant correlates of vulnerability in the region come not from the exposure to adverse meteorological conditions but from prevailing socio-economic conditions (adaptive capacity) and the increased environmental pressure (sensitivity). Among the top 40 most vulnerable districts in the TUGP, in about two-third, the exposure was at moderate to low level, but sensitivity was high and adaptive capacity very weak. Among the sensitivity indicators, the factor loadings, obtained through modified principal component technique, were high for average size of landholdings, Temperature Humidity Index load and productivity of paddy and wheat crops. Irrigation intensity, farm mechanization, cropping intensity, livestock density, proportion of milch animals stock, rural literacy rate and veterinary institutions were the critical factors in determining the adaptive capacity of a district. The study outlines range of research and policy imperatives for enhancing resilience of crop–livestock production system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10668-021-01997-7. Springer Netherlands 2022-01-07 2022 /pmc/articles/PMC8736329/ /pubmed/35018137 http://dx.doi.org/10.1007/s10668-021-01997-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Choudhary, Bishwa Bhaskar Sirohi, Smita Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis |
title | Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis |
title_full | Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis |
title_fullStr | Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis |
title_full_unstemmed | Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis |
title_short | Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis |
title_sort | understanding vulnerability of agricultural production system to climatic stressors in north indian plains: a meso-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8736329/ https://www.ncbi.nlm.nih.gov/pubmed/35018137 http://dx.doi.org/10.1007/s10668-021-01997-7 |
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