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  5. Soil carbon and its associate resilience using big data analytics: For food Security and environmental management

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Article
English
2021

Soil carbon and its associate resilience using big data analytics: For food Security and environmental management

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English
2021
Technological Forecasting and Social Change
Vol 169
DOI: 10.1016/j.techfore.2021.120823

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Manish Kumar Goyal
Manish Kumar Goyal

Indian Institute Of Technology Indorethe Institution

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Gilbert Hinge
Xianhui Li
Manish Kumar Goyal
+2 more

Abstract

Soils are a binding site for carbon storage. Climatic variables, namely precipitation, and temperature are regarded as the primary factors controlling soil organic carbon (SOC) storage; however, no consensus has been made about the magnitude and direction that changes in climatic variables may have on SOC. Based on copula theory, the present study investigates the soil carbon dynamics and the likelihood of SOC occurrence under varying climatic conditions across India's 14 agro-climatic zones. Results demonstrate the possibility of occurrence of SOC under both low and high temperature/precipitation conditions. It was found that the SOC of agro-climatic zones situated in semi-arid and arid regions are more sensitive to changes in climatic variables compared to that of the others. We then quantify the soil resilience of the agro-climatic zones based on the amount of SOC content. Results showed that only 1/3 of India's agro-climatic zones were resilient during the study period (1985–2005). Thus, the study's findings facilitate the identification of India's most sensitive agro-climatic zone for soil carbon management and climate-related policy. It stresses the need for big data assimilation to identify site-specific management practices that can facilitate soil health and improve the country's soil resilient capacity for food security and environmental management.

How to cite this publication

Gilbert Hinge, Xianhui Li, Manish Kumar Goyal, Brij B. Gupta, Xiaojun Chang (2021). Soil carbon and its associate resilience using big data analytics: For food Security and environmental management. Technological Forecasting and Social Change, 169, pp. 120823-120823, DOI: 10.1016/j.techfore.2021.120823.

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Publication Details

Type

Article

Year

2021

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Technological Forecasting and Social Change

DOI

10.1016/j.techfore.2021.120823

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