Abstract

The land-use sector needs special importance owing to its ability to store and emit carbon back to the atmosphere. Land-use changes and their correlations could elucidate conditions that put forests at risk of conversion to other land uses. The impact of rapid forest cover change tends to reduce the percentage of forest cover, thereby reducing the potential for carbon storage in woody biomass. The study was conducted in the state of Arunachal Pradesh to estimate the above-ground biomass, carbon pool and sequestration potential of major land-use sectors. The above-ground biomass of selected land-uses viz. dense forest, moderately dense forest, open forest, plantations, Jhum >5 years, Jhum <5 years and current jhum are 332.28 t ha⁻¹, 246.63 t ha⁻¹, 145.36 t ha⁻¹, 179.31 t ha⁻¹, 149.63 t ha⁻¹, 55.40 t ha⁻¹, 16.84 t ha⁻¹ respectively. The developed model is derived from Soil Adjusted Vegetation Index (SAVI) and Atmospherically Resistant Vegetation Index (ARVI) for prediction of above-ground biomass (AGB) (R² = 0.85, p < 0.05). The resultant R² value of 85% predicts that 79% of accuracy could be assumed by the model. The RMSE of the model was 53.21 t ha⁻¹, having no multicollinearity problem keeping tolerance (0.49) and VIF (2.80). The spatial AGB density map was predicted using a step-wise linear regression model which used AGB, SAVI and ARVI of the corresponding sample plot location. The implication of the land-use change revealed that about 84% carbon will be lost from dense forest once it is converted to Jhum (Jhum is the alternate name of Shifting cultivation in India) followed by Jhum <5 years (65%). It is pertinent to mention here that, the present analysis will help the policymakers in visualizing a proper developmental goal to regulate land-use changes for achieving the higher carbon stock and maintaining balance in the global climate scenario.

摘要

土地利用部门具有存储和向大气排放碳的能力，因此需要特别重视。土地用途的变化及其相关性可以阐明使森林处于转换为其他土地用途的风险中的条件。森林覆盖率的迅速变化往往会降低森林覆盖率，从而降低木质生物量中碳储存的潜力。该研究是在阿鲁纳恰尔邦州进行的，旨在估算主要土地利用部门的地上生物量，碳库和固存潜力。选定土地利用的地上生物量，即。密林，适度密林，开放森林，种植园，轮垦> 5年，轮垦<5岁和当前轮垦是332.28吨公顷^-1，246.63吨公顷^-1，145.36吨公顷^-1，179.31吨公顷^-1，149.63吨公顷^-1，55.40吨公顷^-1，16.84吨公顷^-1分别。所开发的模型源自土壤调节植被指数（SAVI）和耐大气植被指数（ARVI），用于预测地上生物量（AGB）（R ² = 0.85，p  <0.05）。R ²的结果值为85％，表明该模型可以假定79％的准确性。模型的RMSE为53.21 t ha ^-1，不存在保持容差（0.49）和VIF（2.80）的多重共线性问题。使用逐步线性回归模型预测空间AGB密度图，该模型使用了相应样本图位置的AGB，SAVI和ARVI。土地用途变化的含义表明，茂密森林中的碳转化为J（Jhum是印度Shifting种植的别名）后，紧随其后的是h 5年（65％），约有84％的碳将流失。此处需要提及的是，本分析将帮助决策者形象地制定适当的发展目标，以规范土地利用变化，以实现更高的碳储量并在全球气候情景中保持平衡。