Bioindicators for Forest Area Condition: A Systematic Literature Review

A. Rahardjanto, H. Husamah
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Abstract

Flora and fauna are essential components of ecosystems, playing a vital role in maintaining environmental balance. They also serve as bioindicators for assessing forest health. As a result, many researchers have focused their studies on bioindicators, as evidenced by the extensive literature published in journals. The objective of this Systematic Literature Review (SLR) is to systematically identify, study, evaluate, and interpret data from relevant journal articles. We conducted a search in the Scopus database using the keyword "Bioindicator Forest," which yielded a total of 248 articles. After applying our criteria, we narrowed our research to only 49 articles. To conduct our inclusion and exclusion process, we utilized PRISMA guidelines. Analyzing the publication trend on the topic of forest bioindicators, we observed a decline from 2021 to 2023. However, in 2020, we noted a peak with nine articles published. Regarding the research approach, forest bioindicator studies employ quantitative, qualitative, and mixed methods. Notably, the most prominent authors in this field are F. Helbing, J. Litavsky, S Stasiov, Dominguez, and De Deyn. The dominant keyword used in these studies is biodiversity, often related to forestry botany. The authors of these articles originate from 29 different countries, with Europe contributing the majority at 62.07%. Collaboration-wise, a significant number of articles were published through both national and international collaborations. Furthermore, 47 articles received support or sponsorship from external parties. In our discussion, we explore the various techniques, instruments, and data analyses employed in these studies. Overall, this SLR serves as a comprehensive reference for researchers investigating forest bioindicators. Its findings contribute to the diversification of subjects and the enrichment of alternative bioindicators for forest ecosystems.
林区状况的生物指标:系统文献综述
动植物是生态系统的重要组成部分,在维持环境平衡方面发挥着至关重要的作用。它们也是评估森林健康状况的生物指标。因此,许多研究人员将研究重点放在了生物指标上,期刊上发表的大量文献就是证明。本系统文献综述 (SLR) 的目的是系统地识别、研究、评估和解释相关期刊文章中的数据。我们使用关键词 "生物指标林 "在 Scopus 数据库中进行了搜索,共搜索到 248 篇文章。在应用了我们的标准后,我们将研究范围缩小到了 49 篇文章。在纳入和排除过程中,我们采用了 PRISMA 指南。通过分析森林生物指标主题的发表趋势,我们发现从 2021 年到 2023 年,该主题的发表量有所下降。不过,我们注意到 2020 年出现了一个高峰,共发表了 9 篇文章。在研究方法方面,森林生物指标研究采用了定量、定性和混合方法。值得注意的是,该领域最著名的作者是 F. Helbing、J. Litavsky、S Stasiov、Dominguez 和 De Deyn。这些研究中使用的主要关键词是生物多样性,通常与林业植物学有关。这些文章的作者来自 29 个不同国家,其中欧洲占大多数,达 62.07%。在合作方面,大量文章是通过国内和国际合作发表的。此外,有 47 篇文章得到了外部机构的支持或赞助。在讨论中,我们探讨了这些研究中采用的各种技术、工具和数据分析。总之,本 SLR 为研究森林生物指标的研究人员提供了全面的参考。其研究结果有助于实现研究对象的多样化,并丰富森林生态系统的替代生物指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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