Megha VR, R. Kaushal, Sadikul Islam, Uday Mandal, Harsh Mehta, Rajkumar, J. M. S. Tomar, Anand Kumar Gupta, Anupam Barh, Vishwal Madhav P, Vibha Singhal, Rajiv Pandey, Divya Khatri, M. Madhu
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Model stability was validated using cross-validation techniques, and their predictive accuracy was assessed. Models, particularly based on diameter, has significant predictive ability for predicting the biomass components for both the species. <i>B. variegata</i> demonstrated a higher capacity for CO<sub>2</sub> absorption and carbon credit generation. The biomass expansion factor and root-to-shoot ratio for <i>C. australis</i> and <i>B. variegata</i> was estimated to be 1.39 and 1.40; and 0.24 and 0.17, respectively. The annual biomass of <i>B. variegata</i> and <i>C. australis</i> was 5.97 and 4.67 Mg ha<sup>−1</sup> yr<sup>−1</sup>, respectively. The total carbon stock for both species varied from 23.80 to 30.47 Mg C ha<sup>−1</sup>. In <i>B. variegata</i> and <i>C. australis</i>, carbon sequestration was 105.93 and 82.11 Mg ha<sup>−1</sup>, respectively, and net oxygen release ranged from 59.72 to 77.04 Mg ha<sup>−1</sup>. The carbon sequestration by <i>B. variegata</i> translates into generating US$ 2119 in total carbon credits, with an annual credit of US$ 193, while <i>C. australis</i> yields US$ 1642 in total credits and US$ 149 annually. These findings highlight the utility of <i>B. variegata</i> and <i>C. australis</i> for carbon sequestration and provide valuable allometric equations for carbon credit estimation. 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引用次数: 0
摘要
农林业具有巨大的固碳潜力,有助于减缓气候变化和碳交易。本文以西喜马拉雅地区两种重要的农林业树种紫荆花(bahinia variegata)和南荆(Celtis australis)为研究对象,通过选择性采样和最小破坏性方法收集的经验数据,建立异速生长模型和生物量预测比。对生物量组分进行分类和称重,并以胸径和高度为自变量建立异速生长方程。使用交叉验证技术验证模型的稳定性,并评估其预测准确性。模型,特别是基于直径的模型,对两种树种的生物量组成都有显著的预测能力。杂交种具有较高的CO2吸收能力和碳信用产生能力。南芥和杂花菜的生物量扩张因子和根冠比分别为1.39和1.40;和0.24和0.17。杂花木和南花木的年生物量分别为5.97和4.67 Mg ha−1 yr−1。两种植物的总碳储量在23.80 ~ 30.47 Mg C ha−1之间。斑叶草和南叶草固碳量分别为105.93和82.11 Mg ha - 1,净氧释放量为59.72 ~ 77.04 Mg ha - 1。杂色木的固碳可产生2119美元的碳信用额,每年可产生193美元的碳信用额,而南方木可产生1642美元的碳信用额,每年可产生149美元的碳信用额。这些发现突出了斑叶甘蓝和南叶甘蓝在固碳方面的效用,并为碳信用估算提供了有价值的异速生长方程。该研究强调了农林业在实现印度国家自主贡献和解决气候政策目标方面的重要性。
Allometric scaling and carbon sequestration in agroforestry species of the Western Himalayas: a model-based approach
Agroforestry offers a huge potential for carbon sequestration, contributing to climate change mitigation and carbon trading. This study focuses on Bauhinia variegata and Celtis australis, two important agroforestry tree species in the Western Himalayas aiming to develop allometric models and biomass prediction ratios using empirical data collected through selective sampling and minimally destructive methods. Biomass components were categorized and weighed, and allometric equations were developed using diameter at breast height and height as independent variables. Model stability was validated using cross-validation techniques, and their predictive accuracy was assessed. Models, particularly based on diameter, has significant predictive ability for predicting the biomass components for both the species. B. variegata demonstrated a higher capacity for CO2 absorption and carbon credit generation. The biomass expansion factor and root-to-shoot ratio for C. australis and B. variegata was estimated to be 1.39 and 1.40; and 0.24 and 0.17, respectively. The annual biomass of B. variegata and C. australis was 5.97 and 4.67 Mg ha−1 yr−1, respectively. The total carbon stock for both species varied from 23.80 to 30.47 Mg C ha−1. In B. variegata and C. australis, carbon sequestration was 105.93 and 82.11 Mg ha−1, respectively, and net oxygen release ranged from 59.72 to 77.04 Mg ha−1. The carbon sequestration by B. variegata translates into generating US$ 2119 in total carbon credits, with an annual credit of US$ 193, while C. australis yields US$ 1642 in total credits and US$ 149 annually. These findings highlight the utility of B. variegata and C. australis for carbon sequestration and provide valuable allometric equations for carbon credit estimation. The study emphasizes the importance of agroforestry in meeting India’s Nationally Determined Contributions and addressing climate policy goals.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.