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Above ground biomass carbon assessment using field, satellite data and model based integrated approach to predict the carbon sequestration potential of major land use sector of Arunachal Himalaya, India

机译:以上使用现场,卫星数据和基于模型的综合方法来预测印度阿鲁纳卡纳山脉大陆利用部门的碳封存潜力的地面生物质碳评估

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摘要

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) (R (2) = 0.85, p 0.05). The resultant R (2) 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.
机译:由于其储存和发出碳回到大气的能力,土地使用部门需要特别重要。土地利用变化及其相关性可以阐明将森林造成转换为其他土地使用的风险的条件。快速森林覆盖变化的影响往往会降低森林覆盖的百分比,从而减少木质生物质中碳储存的潜力。该研究是在阿鲁纳恰尔邦的状态下进行的,以估计主要土地使用部门的地上生物质,碳库和封存潜力。所选土地的上述生物量 - 使用viz。茂密的森林,适度茂密的森林,开放的森林,种植园,Jhum> 5年,Jhum <5年和目前的Jhum是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)。开发模型来自土壤调整后的植被指数(SAVI)和大气抗性植被指数(ARVI),用于预测地上生物质(AGB)(R(2)= 0.85,P <0.05)。结果r(2)值85%预测该模型可以假设79%的准确性。该模型的RMSE为53.21 t ha(-1),没有多色性问题,保持耐受性(0.49)和VIF(2.80)。使用使用相应的样本绘图位置的AGB,SAVI和ARVI的逐步线性回归模型来预测空间AGB密度图。土地利用变化的含义显示,一旦将其转化为Jhum(Jhum是印度的培养的交替名称),约为84%的碳将从致密森林中丢失,其次是Jhum <5年(65%)。在此提及,目前的分析将有助于政策制定者可视化适当的发展目标,以规范土地利用变化,以实现在全球气候情景中实现较高的碳储存和维持平衡。

著录项

  • 来源
    《Carbon Management》 |2021年第2期|201-214|共14页
  • 作者单位

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Forestry Nirjuli 791109 Arunachal Prade India;

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Forestry Nirjuli 791109 Arunachal Prade India;

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Forestry Nirjuli 791109 Arunachal Prade India;

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Forestry Nirjuli 791109 Arunachal Prade India;

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Agr Engn Nirjuli Arunachal Prade India;

    Manipur Univ Sch Life Sci Dept Bot Imphal Manipur India;

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Forestry Nirjuli 791109 Arunachal Prade India|Mizoram Univ Dept Environm Sci Aizawl Mizoram India;

    Mizoram Univ Dept Environm Sci Aizawl Mizoram India;

    North Eastern Reg Inst Sci & Technol Deemed Univ Dept Elect & Commun Engn Nirjuli Arunachal Prade India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biomass; carbon stock; land-use change; Northeast India; vegetation indices;

    机译:生物质;碳股;土地使用变化;印度东北部;植被指数;
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