通过遥感和实地方法估算受开发活动威胁的亚热带喜马拉雅森林的生物量和碳储量

Q3 Environmental Science
Vivek Dhiman, Amit Kumar
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引用次数: 0

摘要

亚热带混交林因其丰富的物种多样性和固碳潜力而拥有大量碳库。Dhaulasidh 森林位于喜马偕尔邦的喜马拉雅亚热带地区。这项研究旨在利用卫星遥感和四分法确定:(1) 预测生物量的最佳卫星衍生哨兵-2A 指数;(2) 生物量估算的最佳拟合模型;(3) 生物量损失导致的地上碳储量变化。结果表明,波段 3(绿边)、波段 5(红边)、植被(VEG)指数和类胡萝卜素反射率指数(CRI)适用于估算地上生物量(AGB)。计算得出的香农和辛普森多样性指数分别为 0.89 和 0.73。对 AGB 有显著贡献的植物包括菲利蒲桃(Mallotus philippensis)、绣线菊(Emblica officinalis)、拳果决明子(Cassia fistula)、刺槐(Acacia catechu)、白刺槐(Ehretia laevis)、姬颓子(Kydia calycina)和蓝花楹(Lannea coromandelica)。基于植被指数的 AGB 预测模型表明,观测生物量与预测生物量之间存在很强的相关性(R²=0.65,p<0.001),平均绝对百分比误差为 20%,每个像素的均方根误差为 7.33 吨。研究预测亚热带混交林的二氧化碳总损失量为 22,917.15 吨,相当于研究区域内碳储量减少了 12.04%。这些研究结果为森林生态系统的环境管理和碳平衡提供了重要的基准数据,建议在进行任何开发活动时,都应审查毁林后的森林管理做法,以采取补救措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomass and Carbon Stock Estimation through Remote Sensing and Field Methods of Subtropical Himalayan Forest under Threat Due to Developmental Activities
Mixed subtropical forests possess a high amount of carbon pool owing to their rich species diversity and carbon sequestration potential. The Dhaulasidh forest is located in Himachal Pradesh within the subtropical Himalayan region. This research aimed to identify: (1) Optimal satellite-derived Sentinel-2A indices for predicting biomass, (2) the best-fitting model for biomass estimation, and (3) changes in above-ground carbon stock due to biomass loss, using satellite remote sensing and quadrat-based approaches. Results indicated that Band 3 (Green), Band 5 (Red edge), the vegetation (VEG) index, and the Carotenoid reflectance index (CRI) were suitable for estimating above-ground biomass (AGB). Shannon and Simpson’s diversity indices were calculated as 0.89 and 0.73, respectively. Significant contributors to AGB included Mallotus philippensis, Emblica officinalis, Cassia fistula, Acacia catechu, Ehretia laevis, Kydia calycina, and Lannea coromandelica. The AGB prediction model based on vegetation indices demonstrated a strong correlation between observed and predicted biomass (R²=0.65, p<0.001), with a mean absolute percentage error of 20% and root mean square error of 7.33 tonnes per pixel. The study predicted a total loss of 22,917.15 tonnes of CO2 in mixed subtropical forests, representing a 12.04% reduction in carbon stock within the study area. These findings offer critical baseline data for environmental management and carbon balance in the forest ecosystem, recommending that forest management practices after deforestation should be reviewed for remedial measures for any developmental activities.
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来源期刊
Environment and Natural Resources Journal
Environment and Natural Resources Journal Environmental Science-Environmental Science (all)
CiteScore
1.90
自引率
0.00%
发文量
49
审稿时长
8 weeks
期刊介绍: The Environment and Natural Resources Journal is a peer-reviewed journal, which provides insight scientific knowledge into the diverse dimensions of integrated environmental and natural resource management. The journal aims to provide a platform for exchange and distribution of the knowledge and cutting-edge research in the fields of environmental science and natural resource management to academicians, scientists and researchers. The journal accepts a varied array of manuscripts on all aspects of environmental science and natural resource management. The journal scope covers the integration of multidisciplinary sciences for prevention, control, treatment, environmental clean-up and restoration. The study of the existing or emerging problems of environment and natural resources in the region of Southeast Asia and the creation of novel knowledge and/or recommendations of mitigation measures for sustainable development policies are emphasized. The subject areas are diverse, but specific topics of interest include: -Biodiversity -Climate change -Detection and monitoring of polluted sources e.g., industry, mining -Disaster e.g., forest fire, flooding, earthquake, tsunami, or tidal wave -Ecological/Environmental modelling -Emerging contaminants/hazardous wastes investigation and remediation -Environmental dynamics e.g., coastal erosion, sea level rise -Environmental assessment tools, policy and management e.g., GIS, remote sensing, Environmental -Management System (EMS) -Environmental pollution and other novel solutions to pollution -Remediation technology of contaminated environments -Transboundary pollution -Waste and wastewater treatments and disposal technology
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