Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils

The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data points of POC concentration in soils and applied empirical modeling and machine learning algorithms to investigate the spatial variation in POC concentration and its controls. The global POC concentration in topsoil (0-30 cm) is estimated as 3.02 g C/kg dry soil, exhibiting a declining trend from polar regions to the equator. Boreal forests contain the highest POC concentration, averaging at 4.58 g C/kg dry soil, whereas savannas exhibit the lowest at 1.41 g C/kg dry soil. We developed a global map of soil POC density in soil profiles of 0-30 cm and 0-100 cm with an empirical model. The global stock of POC is 158.15 Pg C for 0-30 cm and 222.75 Pg C for 0-100 cm soil profiles with a substantial spatial variation. Analysis with a machine learning algorithm concluded the predominate controls of edaphic factors (i.e., bulk density and soil C content) on POC concentration across biomes. However, the secondary controls vary among biomes, with solid climate controls in grassland, pasture, and shrubland, while strong vegetation controls in forests. The biome-level estimates and maps of POC density provide a benchmark for modeling C fractions in soils; the various controls on POC suggest incorporating biological and physiochemical mechanisms in soil C models to assess and forecast the soil POC dynamics in response to global change.

Authors

Institutions

Publication Details

Journal
Global Change Biology
Published
2024-12-01
DOI
https://doi.org/10.1111/gcb.17619
Citations
11
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
3.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils

Fenghui Yuan, Jianzhao Liu, Xiaofeng Xu, Dengjun Zhang et al.
11 citations
Global Change Biology
Soil Carbon and Nitrogen Dynamics
3.67
article

Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils

Fenghui Yuan, Jianzhao Liu, Xiaofeng Xu, Dengjun Zhang, Jorge L. Mazza Rodrigues, Changchun Song, Yanyu Song, Liyuan He, Xinhao Zhu, Yunjiang Zuo, Nannan Wang, Lihua Zhang, Ying Sun, Ziyu Guo, Ning Chen
article en
11 citations

Abstract

The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data points of POC concentration in soils and applied empirical modeling and machine learning algorithms to investigate the spatial variation in POC concentration and its controls. The global POC concentration in topsoil (0-30 cm) is estimated as 3.02 g C/kg dry soil, exhibiting a declining trend from polar regions to the equator. Boreal forests contain the highest POC concentration, averaging at 4.58 g C/kg dry soil, whereas savannas exhibit the lowest at 1.41 g C/kg dry soil. We developed a global map of soil POC density in soil profiles of 0-30 cm and 0-100 cm with an empirical model. The global stock of POC is 158.15 Pg C for 0-30 cm and 222.75 Pg C for 0-100 cm soil profiles with a substantial spatial variation. Analysis with a machine learning algorithm concluded the predominate controls of edaphic factors (i.e., bulk density and soil C content) on POC concentration across biomes. However, the secondary controls vary among biomes, with solid climate controls in grassland, pasture, and shrubland, while strong vegetation controls in forests. The biome-level estimates and maps of POC density provide a benchmark for modeling C fractions in soils; the various controls on POC suggest incorporating biological and physiochemical mechanisms in soil C models to assess and forecast the soil POC dynamics in response to global change.

Global Change BiologyVol. 30(12)
Minzu University of China (CN), Chinese Academy of Sciences (CN), San Diego State University (US), Northeast Institute of Geography and Agroecology (CN), Institute of Applied Ecology (CN), University of Chinese Academy of Sciences (CN), University of California, Davis (US), University of Stavanger (NO)
National Science Foundation, U.S. Department of Agriculture, National Natural Science Foundation of China, Chinese Academy of Sciences, National Institute of Food and Agriculture
Climate action
Openalex Percentile: Top 7%
Soil Carbon and Nitrogen Dynamics
3.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.