2022
DOI: 10.11628/ksppe.2022.25.6.759
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An Analysis on the Long-term Management of Urban Tree Carbon Reduction ‘Forestry Inventory Analysis’ towards Climate Change Adaptation

Abstract: Background and objective: Climate change and its impact on carbon storage in urban trees is a topic that has received increasing attention. Related studies focusing on data collection and analysis-based programs, such as the Forestry Inventory Analysis (FIA) programme in the US, have presented remarkable approaches to obtaining integrated analysis estimates and its management structure from a long-term perspective. This study explored the FIA programme in the context of long-term management in relation to tree… Show more

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Cited by 2 publications
(1 citation statement)
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“…Bibliometric analysis in the forestry sectors has been applied to describe specific research trends, such as ecosystem services (Di Franco et al, 2021;Zhang et al, 2019), forest degradation (Aleixandre-Benavent et al, 2018), agroforestry practices (Leal et al, 2019), climate change (Araujo et al, 2023;Nam et al, 2022;Zhang et al, 2022), forestry big data (Gao et al, 2022), and forest bioeconomy (Jankovský et al 2021;Verma and Ghosh, 2023). Analyzing and mapping the bibliography can also use software such as the Bibliometrix R package (Gao et al, 2022;Zhang et al, 2022), Citespace (Li et al, 2022;Xie et al, 2023), and VOSviewer (Cheng et al, 2021;Hamidah et al, 2020;Singh, 2022;Soegoto et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Bibliometric analysis in the forestry sectors has been applied to describe specific research trends, such as ecosystem services (Di Franco et al, 2021;Zhang et al, 2019), forest degradation (Aleixandre-Benavent et al, 2018), agroforestry practices (Leal et al, 2019), climate change (Araujo et al, 2023;Nam et al, 2022;Zhang et al, 2022), forestry big data (Gao et al, 2022), and forest bioeconomy (Jankovský et al 2021;Verma and Ghosh, 2023). Analyzing and mapping the bibliography can also use software such as the Bibliometrix R package (Gao et al, 2022;Zhang et al, 2022), Citespace (Li et al, 2022;Xie et al, 2023), and VOSviewer (Cheng et al, 2021;Hamidah et al, 2020;Singh, 2022;Soegoto et al, 2022).…”
Section: Introductionmentioning
confidence: 99%