Accurate estimation of aboveground biomass in Moso bamboo (<i>Phyllostachys edulis</i>) forests under <i>Pantana phyllostachysae</i> Chao stress using <scp>UAV</scp> multispectral remote sensing and self‐establish allometric equations
Incorporating pest factors into AGB estimation models significantly enhances model accuracy and captures the nuanced effects of pest stress on biomass accumulation. This integration improves model generalizability and ecological relevance, offering valuable insights for sustainable forest management and carbon accounting. The findings highlight the importance of explicitly considering pest dynamics in biomass modeling and carbon management strategies, laying a robust foundation for future research on pest-biomass interactions in forest ecosystems. © 2025 Society of Chemical Industry.
Authors
- Guantong Li
- Zenglu Li (ORCID: https://orcid.org/0000-0003-4114-9509)
- Xiaoyu Guo (ORCID: https://orcid.org/0000-0001-9753-1630)
- Anqi He (ORCID: https://orcid.org/0009-0001-7778-6991)
- Zhanghua Xu (ORCID: https://orcid.org/0000-0001-9017-6920)
- Lingyan Chen
- Bin Li (ORCID: https://orcid.org/0000-0002-4581-4775)
- Yifan Li (ORCID: https://orcid.org/0000-0003-1470-8862)
- Huafeng Zhang (ORCID: https://orcid.org/0000-0002-0455-1016)
- Fengying Guan
Institutions
- State Forestry and Grassland Administration (CN)
- Xiamen Blood Center (CN)
- Fuzhou University (CN)
- SEGi University (MY)
- Shanghai Maritime University (CN)
Publication Details
- Journal
- Pest Management Science
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1002/ps.70018
- Citations
- 1
- Primary Topic
- Bamboo properties and applications
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation