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Dominant Tree Species and Their Age Groups Drive Forest Carbon Storage in Wuyi Mountain National Park, China.

Authors :
Jin, Xing
Lin, Shu
Zhu, Jing
Tan, Fanglin
Zhang, Huiguang
Chen, Qichao
Hong, Yu
Liu, Jinfu
Xu, Daowei
He, Zhongsheng
Source :
Forests (19994907); Mar2024, Vol. 15 Issue 3, p546, 15p
Publication Year :
2024

Abstract

Evaluating the carbon storage of forests and identifying the factors that influence it are essential in working towards the "dual carbon" goal. This assessment will facilitate research on carbon neutrality and promote regional ecological protection and development. This study utilized the "One Map" data of forest resources (2020) and the first year (2017) of the establishment of the national park in Wuyi Mountain National Park (WMNP). The continuous biomass expansion factor method, in conjunction with the vegetation carbon content coefficient, was employed to estimate the forest carbon storage within the park's forested areas. Subsequently, the distribution of forest carbon storage was analyzed using remote sensing estimation methods, and a comparison was made between the forest carbon storage of these two years. Finally, correlation analysis and path analysis were conducted to identify the primary factors influencing forest carbon storage. The study findings reveal that in 2020, the total carbon storage in forests reached 4.851 × 10<superscript>6</superscript> t C, with an average carbon density of 49.55 t C·hm<superscript>−2</superscript>. Furthermore, the study identified positive correlations between dominant tree species, age groups, and elevation with carbon storage, whereas slope length and aspect were found to have negative correlations. Dominant tree species were observed to have the greatest impact on forest carbon storage in both 2017 and 2020, followed by age groups. These findings offer valuable scientific insights for the implementation of forest carbon storage pilot projects in WMNP. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19994907
Volume :
15
Issue :
3
Database :
Complementary Index
Journal :
Forests (19994907)
Publication Type :
Academic Journal
Accession number :
176302791
Full Text :
https://doi.org/10.3390/f15030546