Wood density can best predict carbon stock in the forest aboveground biomass following restoration in a post open limestone mining in a tropical region
By using these two models to evaluate carbon stock in AGB, we have found that an average of 78.18 Mg C hm<sup>-2</sup> could be accumulated by our reforestation exercise. Moreover, wood density could predict AGB for this restored tropical mining site, and indicated that strategies of planting fast-growing species leads to fast-growing strategies (indicated by wood density) which in turn determined the largely accumulated carbon stocks in the AGB during restoration. This restoration technology (multiple-planting of several non-native fast-growing tree species) and the two accurate and effective AGB models (trait-based and MVI-based AGB models) developed by us could be applied to 1) restore other degraded tropical mining area in China, and 2) estimate carbon stock in forest AGB after performing restoration.
Authors
- Jingwei Mao (ORCID: https://orcid.org/0000-0003-1896-1988)
- Wenfeng Gong (ORCID: https://orcid.org/0009-0008-6355-2669)
- Y. Q. Chen (ORCID: https://orcid.org/0009-0002-7350-7091)
- Peipei Xue (ORCID: https://orcid.org/0000-0001-5207-1992)
- Ting Xiang (ORCID: https://orcid.org/0000-0003-4262-1748)
- Hui Zhang (ORCID: https://orcid.org/0000-0002-2180-4855)
- Qingqing Yang (ORCID: https://orcid.org/0000-0002-7560-295X)
- Chen Cui (ORCID: https://orcid.org/0009-0006-8983-2373)
Institutions
- Huanggang Normal University (CN)
- Hainan University (CN)
- Chongqing Academy of Forestry (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-02-20
- DOI
- https://doi.org/10.3389/fpls.2025.1553886
- Primary Topic
- Forest ecology and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China