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

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 km² degraded tropical mining area in Hainan Island in China. During this reforestation, seven non-native fast-growing tree species wer

SUBMITTER: Mao J 

PROVIDER: S-EPMC11882525 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature