Department of Botany, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.
Department of Agronomy, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.
Environ Monit Assess. 2023 Jan 20;195(2):315. doi: 10.1007/s10661-022-10898-9.
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.
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。