Enhancing Soil Carbon Storage: Developing high-resolution maps of topsoil organic carbon sequestration potential in Taiwan

• SOC sequestration potential estimated at a regional scale using over 67,000 soil samples. • SOC saturation estimated using Boundary Line and Quantile Regression. • Machine learning methods created the first map of SOC sequestration potential of Taiwan. • Soil type, temperature and elevation are important factors controlling SOC sequestration potential. • Paddy soil has the highest SOC sequestration potential. Developing methods to estimate Soil Organic Carbon sequestration potential (SOC sp ) at the regional scale is essential for quantifying the additional stable carbon that soils can sequester for climate change mitigation. This study investigates methods to estimate SOC sp across Taiwan. It evaluates three methods for estimating SOC saturation in fine fraction soils (less than 53 µm) (Hassink, boundary line, and quantile regression) using high-density sampling (more than one site per square km in cultivated areas) and digital soil mapping. Results show that SOC sp derived from the boundary line approach was about 2.1 times higher than those estimated by the quantile regression (QR) approach. Estimates using the QR approach could be regarded as the technically achievable goal as most of the samples collected from cultivated soils had low SOC content. A moderate spatial model for SOC sp was achieved using random forest model (R 2 : 0.54–0.57) on validation samples. Soil type, temperature and elevation were important controlling factors of SOC sp in topsoil. Regions with high SOC sp were mainly located in intensively cultivated and clay-rich soils, with paddy soils exhibiting greater sequestration potential compared to other land uses. In contrast, most forest soils in slope and mountainous areas had low SOC sp , as their SOC levels were near or above estimated saturation in the fine fraction soils. This study offers practical and strategic insights for scientific and policy-oriented efforts to improve soil health, boost carbon sequestration, and address climate change through optimisation of land use.

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Publication Details

Journal
Geoderma
Published
2025-05-27
DOI
https://doi.org/10.1016/j.geoderma.2025.117369
Citations
5
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
5.93

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article

Enhancing Soil Carbon Storage: Developing high-resolution maps of topsoil organic carbon sequestration potential in Taiwan

Yu‐Ting Liu, Chia‐Jui Yen, Bin Yang, Budiman Minasny et al.
5 citations
Geoderma
Soil Carbon and Nitrogen Dynamics
5.93
article

Enhancing Soil Carbon Storage: Developing high-resolution maps of topsoil organic carbon sequestration potential in Taiwan

Yu‐Ting Liu, Chia‐Jui Yen, Bin Yang, Budiman Minasny, Yiting Zhang, Chien-Hui Syu, Shih‐Hao Jien, Mel Adelle Ocba
article en
5 citations

Abstract

• SOC sequestration potential estimated at a regional scale using over 67,000 soil samples. • SOC saturation estimated using Boundary Line and Quantile Regression. • Machine learning methods created the first map of SOC sequestration potential of Taiwan. • Soil type, temperature and elevation are important factors controlling SOC sequestration potential. • Paddy soil has the highest SOC sequestration potential. Developing methods to estimate Soil Organic Carbon sequestration potential (SOC sp ) at the regional scale is essential for quantifying the additional stable carbon that soils can sequester for climate change mitigation. This study investigates methods to estimate SOC sp across Taiwan. It evaluates three methods for estimating SOC saturation in fine fraction soils (less than 53 µm) (Hassink, boundary line, and quantile regression) using high-density sampling (more than one site per square km in cultivated areas) and digital soil mapping. Results show that SOC sp derived from the boundary line approach was about 2.1 times higher than those estimated by the quantile regression (QR) approach. Estimates using the QR approach could be regarded as the technically achievable goal as most of the samples collected from cultivated soils had low SOC content. A moderate spatial model for SOC sp was achieved using random forest model (R 2 : 0.54–0.57) on validation samples. Soil type, temperature and elevation were important controlling factors of SOC sp in topsoil. Regions with high SOC sp were mainly located in intensively cultivated and clay-rich soils, with paddy soils exhibiting greater sequestration potential compared to other land uses. In contrast, most forest soils in slope and mountainous areas had low SOC sp , as their SOC levels were near or above estimated saturation in the fine fraction soils. This study offers practical and strategic insights for scientific and policy-oriented efforts to improve soil health, boost carbon sequestration, and address climate change through optimisation of land use.

GeodermaVol. 459
The University of Sydney (AU), National Chung Hsing University (TW), Taiwan Agricultural Research Institute Council of Agriculture, Executive Yuan (TW)
Council of Agriculture, National Science and Technology Council
Zero hunger
Openalex Percentile: Top 4%
Soil Carbon and Nitrogen Dynamics
5.93
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