Tree-based systems in arid region of India are an integral part of livelihood and environment security. Traditionally, the maintenance of scattered trees on farm to reap several tangible and intangible benefits is a way of life. Presently, these systems are often known as low-hanging fruit and become a key weapon to fight climate change evil by offsetting greenhouse gas (GHG) emission through carbon sequestration. Therefore, to quantify the offsetting potential of GHG emission and area occupied by these tree-based systems in Rajasthan was undertaken. The study was carried out into two major aspects: estimation of agroforestry area using satellite remote sensing data, and to estimate the carbon sequestration potential of existing agroforestry by using dynamic CO2FIXv3.1 model for a simulation period of 30-years in five districts (20% sampling), namely, Bikaner, Dausa, Jhunjhunu, Pali and Sikar from Rajasthan, India. The estimated area under agroforestry in Rajasthan was 1.49 million ha. The findings revealed that the major tree species existing on farmer’s field were Prosopis cineraria, Tecomella undulata , Capparis decidua, Acacia tortilis , Prosopis juliflora , Azadirachta indica and Ziziphus mauritiana with an observed number of trees in selected districts varied from 1.40 to 14.90 ha −1 (with average tree density of 9.71 ha −1 ). The total biomass (tree + Crop) varied from 2.22 to 19.19 Mg ha −1 , whereas the total biomass carbon ranged from 1.00 to 8.64 Mg C ha −1 . The soil organic carbon ranged from 4.51 to 16.50 Mg C ha −1 . The average estimated carbon sequestration and mitigation potential of the agroforestry were 0.26 Mg C ha −1 year −1 and 0.95 Mg CO 2 eq ha −1 year −1 on farmers' field of Rajasthan. At the state level, the reduction of GHG emission potential of agroforestry was found to be 1.42 million tonnes annually, which helps to cut carbon footprint and achieve targets of Paris agreement.

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通过印度拉贾斯坦邦的传统农林业系统降低全球变暖潜力相对于温室气体

印度干旱地区的树木系统是生计和环境安全不可或缺的一部分。传统上，维护农场零星的树木以获取一些有形和无形的好处是一种生活方式。目前，这些系统通常被称为唾手可得的果实，并通过碳封存抵消温室气体 (GHG) 排放，成为对抗气候变化邪恶的关键武器。因此，为了量化拉贾斯坦邦这些基于树木的系统所占用的温室气体排放和面积的抵消潜力，进行了量化。该研究主要从两个方面进行：利用卫星遥感数据估算农林业面积，以及利用动态 CO2FIXv3.1 模型在 5 个地区（20 年）的 30 年模拟期估算现有农林业的碳固存潜力。 % 抽样），即来自印度拉贾斯坦邦的 Bikaner、Dausa、Jhunjhunu、Pali 和 Sikar。估计拉贾斯坦邦的农林业面积为 149 万公顷。调查结果显示，农民田地中存在的主要树种是 Prosopis cineraria、Tecomella undulata、Capparis decidua、Acacia tortilis、Prosopis juliflora、Azadirachta indica 和 Ziziphus mauritiana，在选定地区观察到的树木数量从 1.490 到 1.490 公顷不等。 （平均树木密度为 9.71 公顷 -1 ）。总生物量（树木 + 作物）从 2.22 到 19.19 Mg ha -1 不等，而总生物量碳从 1.00 到 8.64 Mg C ha -1 不等。土壤有机碳范围为 4.51 至 16.50 Mg C ha -1 。农林业的平均估计碳固存和减缓潜力为 0.26 Mg C ha -1 年 -1 和 0。95 Mg CO 2 eq ha -1 年 -1 拉贾斯坦邦农民的田地。在州一级，发现农林业的温室气体排放潜力每年减少 142 万吨，这有助于减少碳足迹并实现巴黎协定的目标。