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推进森林生态系统碳储量估计的方法学途径。

Advance methodological approaches for carbon stock estimation in forest ecosystems.

机构信息

Department of Botany, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.

Department of Agronomy, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.

出版信息

Environ Monit Assess. 2023 Jan 20;195(2):315. doi: 10.1007/s10661-022-10898-9.

Abstract

The forests are a key player in maintaining ecological balance on the earth. They not only conserve biodiversity, reduce soil erosion, and protect watersheds but also promote the above and below-ground ecosystem services. Forests are known as air cleaners on the planet and play a significant role in mitigating greenhouse gas (GHG) emissions into the atmosphere. As per programs launched in the Conference of Parties (COP) 26, there is a need to promote policies and programs to reduce the atmospheric carbon (C) through the forest ecosystem; it is because forests can capture the atmospheric CO for a long time and help to achieve the goals of net-zero emission CO on the earth. Therefore, there is an urgent need to know the advanced technological approaches for estimating C stock in forest ecosystems. Hence, the present article is aimed at providing a comprehensive protocol for the four C stock estimation approaches. An effort has also been made to compare these methods. This review suggests that tree allometry is the most common method used for the quantification of C stock, but this method has certain limitations. However, the review shows that accurate results can be produced by a combination of two or more methods. We have also analyzed the results of 42 research studies conducted for C stock assessment along with the factors determining the amount of C in different types of forests. The C stock in vegetation is affected by temporal and spatial variation, plantation age, land use, cropping pattern, management practices and elevation, etc. Nevertheless, the available results have a large degree of uncertainty mainly due to the limitations of the methods used. The review supports the conclusion that the uncertainty in C stock measurements can be addressed by the integration of the above-mentioned methods.

摘要

森林是维持地球生态平衡的关键因素。它们不仅保护生物多样性、减少土壤侵蚀和保护流域,还促进地上和地下生态系统服务。森林被称为地球上的空气净化器,在减轻温室气体(GHG)排放到大气中方面发挥着重要作用。根据《联合国气候变化框架公约》第 26 次缔约方大会(COP26)推出的计划,需要推广政策和方案,通过森林生态系统减少大气中的碳(C);因为森林可以长时间捕获大气中的 CO,并有助于实现地球净零排放 CO 的目标。因此,迫切需要了解估计森林生态系统中 C 储量的先进技术方法。因此,本文旨在提供四种 C 储量估计方法的综合方案。还努力对这些方法进行了比较。本综述表明,树木测树学是用于量化 C 储量的最常用方法,但该方法存在一定的局限性。然而,综述表明,通过两种或更多方法的组合可以产生更准确的结果。我们还分析了 42 项关于 C 储量评估的研究结果,以及决定不同类型森林中 C 量的因素。植被中的 C 储量受时间和空间变化、种植园年龄、土地利用、种植模式、管理实践和海拔等因素的影响。然而,由于所用方法的限制,现有结果存在很大的不确定性。该综述支持这样的结论,即可以通过整合上述方法来解决 C 储量测量中的不确定性。

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