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ORIGINAL RESEARCH article

Front. For. Glob. Change
Sec. Forest Management
Volume 8 - 2025 | doi: 10.3389/ffgc.2025.1515767

Enhancing Aboveground Biomass Estimation in Moso Bamboo Forests: The Role of On-Year and Off-Year Phenomena in Remote Sensing

Provisionally accepted
Nan Li Nan Li 1Mengyi Hu Mengyi Hu 1,2Jingyi Xie Jingyi Xie 1Linjia Wei Linjia Wei 1,2Tianzhen Wu Tianzhen Wu 1Wei Zhang Wei Zhang 1Shuangxi Gu Shuangxi Gu 1Longwei Li Longwei Li 1*
  • 1 Chuzhou University, Chuzhou, China
  • 2 Anhui University, Hefei, Anhui Province, China

The final, formatted version of the article will be published soon.

    Accurate estimation of aboveground biomass (AGB) in Moso bamboo forests (MBFs) has garnered significant attention over the past two decades. However, the remote sensing-based estimation of AGB in MBFs remains challenging because of the limited understanding of the relationship between Moso bamboo growth characteristics and remote sensing data, particularly concerning alternating on-year and off-year cycles. In this study, Sentinel-2 remote sensing imagery and plot survey data were selected, a novel change detection algorithm to assess plot level AGB dynamics between 2018 and 2019 was developed, a hierarchical classifier was proposed to map the spatial distributions of on-year and offyear MBFs, and a time series model was developed for estimating the AGB of MBFs to characterize AGB dynamics between November and December. The results indicated that the AGB of the MBFs exhibited a distinct dynamic cycle characterized by the rapid accumulation of new bamboo and sharp reductions due to selective harvesting during the on-year period, alongside a steady accumulation of lignified bamboo during the off-year period. The AGB of the MBFs during the on-year and off-year cycles ranged primarily from 30 to 80 Mg/ha, with the AGB of the on-year MBFs generally exceeding that of the off-year MBFs. This study demonstrated the potential to accurately estimate AGB and its dynamic changes by accounting for on-year and off-year phenomena.

    Keywords: Aboveground biomass estimation, Moso bamboo forests, On-year and off-year, remote sensing, random forest

    Received: 23 Oct 2024; Accepted: 13 Jan 2025.

    Copyright: © 2025 Li, Hu, Xie, Wei, Wu, Zhang, Gu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Longwei Li, Chuzhou University, Chuzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.