Unraveling the Distribution of Black Carbon in Chinese Forest Soils Using Machine Learning Approaches

Unraveling the Distribution of Black Carbon in Chinese Forest Soils Using Machine Learning Approaches

Abstract Black carbon (BC) is a highly persistent yet poorly understood component of forest soil carbon reservoirs, while its inventory, distribution, and determining factors in forest soils on a large geographic scale remain unclear. Here, we characterized soil BC across 68 Chinese forest sites usi...

Full description

Saved in:
Bibliographic Details
Main Authors: Chen Zhao, Zhouyang Tian, Qiang Zhang, Yinghui Wang, Peng Zhang, Guodong Sun, Yuanxi Yang, Ding He, Shuxin Tu, Junjian Wang
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Geophysical Research Letters
Subjects:
black carbon
machine learning
benzenepolycarboxylic acids
soil properties
forest soils
Online Access:https://doi.org/10.1029/2024GL110618
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1029/2024GL110618

Similar Items