尼泊尔乌代布尔县社区管理森林的物种组成、多样性和碳储量评估

Our Nature Pub Date : 2024-07-05 DOI:10.3126/on.v22i1.67349
Santosh Ayer, Jeetendra Gautam, Prakash Chaudhary, Sandip Poudel, K. Ayer
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摘要

森林的物种组成、多样性和碳储层都是影响森林提供各种重要生态系统服务能力的关键因素。然而,有关乌代布尔地区社区森林中这些因素的研究明显不足。因此,本研究旨在评估尼泊尔东部乌代布尔县斯林加尔社区森林(CF)的物种组成和生物多样性,并量化其碳储量潜力。研究人员采用系统随机抽样法,以 0.5 % 的抽样密度对 57 个面积为 500 平方米的圆形地块进行了调查。在 CF 中,确定了 15 属 11 科 17 种树种。最主要的树种是娑罗双树(Shorea robusta),其重要性指数(IVI)最高(176.15)。根据我们的研究,Sringar CF 的总生物量和碳储量分别为 276.98 吨/公顷和 138.18 吨/公顷。准确估算土壤碳储量对于长期森林管理和减缓气候变化至关重要,因此需要整合先进的监测技术和预测模型,以提高准确性并考虑未来的气候预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Species Composition, Diversity and Carbon Stock in a Community Managed Forest of Udaypur District of Nepal
Species composition, diversity, and carbon sock of forests are all critical factors that affect the ability of forests to provide various important ecosystem services. However, there is a notable dearth of research regarding these factors in the community forests of Udaypur district. Therefore, this research was undertaken to assess species composition, and biodiversity and quantify the carbon stock potential of the Sringar community forest (CF) of the Udaypur district of Eastern Nepal. A total of 57 circular plots of 500m2 were inventoried using a systematic random sampling method with 0.5 % sampling intensity. In the CF, 17 tree species from 15 genera and 11 families were identified. The dominant tree species, Shorea robusta observed with a maximum importance value index (IVI) (176.15). According to our study, the total biomass and carbon stock in Sringar CF were 276.98 ton ha-1 and 138.18 ton ha-1, respectively. Accurate estimation of soil carbon stocks is crucial for long-term forest management and climate change mitigation, and the integration of advanced monitoring techniques and predictive models to enhance accuracy and account for future climate projections is needed.
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