生物质和二氧化碳捕获:对 Araucaria angustifolia (Bertol.) Kuntz 的研究

J. A. S. Favarin, Emmanoella Costa Guaraná Araujo, Matheus Pinheiro Ferreira, Eben North Broadbent, A. P. Dalla Corte
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引用次数: 0

摘要

濒危物种在生物量和碳的量化研究中发挥着重要作用,因为法律禁止砍伐这些物种,它们在森林中积累了重要的储量。因此,这项工作的目的是介绍以Araucaria angustifolia和其他同属物种为主题开展的研究情况。为此,我们采用了文献计量学分析方法,在 Scopus、Web of Science 和 Science Direct 数据库中搜索截至 2021 年已发表和索引的作品。我们在 30 种不同期刊上发现了 38 篇论文,其中 72.5% 的论文发表于 2014 年。巴西是研究成果最多的国家,也是获得研究资助机构鼓励最多的国家。以生物质和碳为研究对象的论文最多,共有 21 篇。在 28 项研究中,使用最多的是直接量化方法。其他方法包括拟合模型和模拟、马弗炉、干式燃烧、湿式燃烧和转换系数法等碳量化方法。没有使用人工智能被认为是研究中的一个空白。此外,遥感技术与人工智能的结合使用很少,这应能为估算生物量和碳提供新的方法。
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 DIOXIDE CAPTURE: RESEARCH FOR Araucaria angustifolia (Bertol.) Kuntz
Endangered species play an important role in studies on the quantification of biomass and carbon since, as their cutting is prohibited by law, they accumulate an essential stock in the forest. Thus, this work aimed to bring a scenario of the research being carried out with this theme with Araucaria angustifolia and other species of the same genus. To this end, bibliometric analysis was used, searching for published and indexed works in the Scopus, Web of Science, and Science Direct databases until 2021. We found 38 publications in 30 different journals, accumulating 72.5% of publications from the year 2014. Brazil was the country that produced the most research and also that received the most encouragement from research funding agencies. Biomass and carbon were the objects of most works, totaling 21. The direct method of quantification was the most used in 28 studies. Other methods were fitted models and simulation, muffle, dry combustion, wet combustion, and conversion factor methods to quantify carbon. The non-use of artificial intelligence was considered a gap in the research. Moreover, the little use of remote sensing, combined with artificial intelligence, should offer new methods for estimating biomass and carbon.
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