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

机译:使用大数据分析土壤碳及其助理恢复力:粮食安全与环境管理

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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 & rsquo;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 agroclimatic 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 & rsquo;s agro-climatic zones were resilient during the study period (1985 & ndash;2005). Thus, the study & rsquo;s findings facilitate the identification of India & rsquo;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 & rsquo;s soil resilient capacity for food security and environmental management.
机译:土壤是碳储存的结合位点。气候变量,即降水和温度被认为是控制土壤有机碳(SOC)储存的主要因素;但是,没有关于气候变量变化可能对SOC的幅度和方向的共识。基于Copula理论,本研究调查了在印度和RSQUO的不同气候条件下的土壤碳动力学和SoC发生的可能性。结果证明了在低温和高温/降水条件下发生SOC的可能性。结果发现,与其他人中,位于半干旱地区的旧尖端区的SOC对气候变量的变化更敏感。然后,我们基于SoC含量的量量化农业气候区的土壤恢复性。结果表明,在研究期间只有1/3的印度和rsquo; S农业气候区(1985年和Ndash; 2005)。因此,研究和rsquo; S的调查结果有助于识别印度和rsquo;对土壤碳管理和气候相关政策的最敏感的农业气候区。它强调需要大数据同化,以确定可以促进土壤健康和改善国家和rsquo的土壤健康和改善土壤弹性能力的现场特定的管理实践。

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