Wood density can best predict carbon stock in the forest aboveground biomass following restoration in a post open limestone mining in a tropical region.

Junyang Mao, Peipei Xue, Yuxin Chen, Ting Xiang, Hui Zhang, Cui Chen, Qingqing Yang, Wenfeng Gong

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In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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5 · Who and what money

Authors and funding

8 authors.

Junyang Mao *School of Ecology, Hainan University, Haikou, China.

Peipei Xue *Chongqing Academy of Forestry, Wulingshan Forest Eco-station, Chongqing, China.

Yuxin ChenSchool of Ecology, Hainan University, Haikou, China.

Ting XiangSchool of Ecology, Hainan University, Haikou, China.

Hui ZhangWanning Tropical Lowland Rainforest Restoration and Utilization, Hainan Observation and Research Station, Haikou, China.

Cui ChenSchool of Geography and Tourism, Huanggang Normal University, Huanggang, Hubei, China.

Qingqing YangHainan Academy of Forestry (Hainan Academy of Mangrove), Haikou, China.

Wenfeng GongSchool of Ecology, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Reforestation has been widely considered to best solve this problem, but this requires an accurate estimation of carbon stocks in the forest aboveground biomass (AGB) at a large scale. AGB models based on traits and remote sensing indices (moisture vegetation index (MVI)) are the two good methods for this purpose. But limited studies have developed them to estimate carbon stock in AGB during restoration of degraded mining areas. Methods: Here, we have successfully addressed this challenge as we have developed trait-based and MVI-based AGB models to estimate carbon stock in the AGB after performing reforestation in a 0.2 km Results and discussions: By using these two models to evaluate carbon stock in AGB, we have found that an average of 78.18 Mg C hm

Indexed as

carbon emissioncarbon stockfunctional traitsland usevegetation

Identifiers

PMID40051883

DOI10.3389/fpls.2025.1553886

PMCPMC11882525

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