ArticleFrontiers in plant science2023
Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 9 citations in OpenAlex.
- Spatial assessment of forest soil carbon and climate-related value inside and outside protected areas in China.Environmental monitoring and assessment · 2026Article
- Effects of Mixing Combination on Soil Physicochemical Property and Microbial Community in Alfalfa-Grass Mixtures After Seven Years of Establishment.Microorganisms · 2026Article
- Spatial heterogeneity of plant diversity-productivity-carbon nexus in eastern Loess Plateau grasslands.PloS one · 2026Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
China has the second-largest grassland area in the world. Soil organic carbon storage (SOCS) in grasslands plays a critical role in maintaining carbon balance and mitigating climate change, both nationally and globally. Soil organic carbon density (SOCD) is an important indicator of SOCS. Exploring the spatiotemporal dynamics of SOCD enables policymakers to develop strategies to reduce carbon emissions, thus meeting the goals of "emission peak" in 2030 and "carbon neutrality" in 2060 proposed by the Chinese government. The objective of this study was to quantify the dynamics of SOCD (0-100 cm) in Chinese grasslands from 1982 to 2020 and identify the dominant drivers of SOCD change using a random forest model. The results showed that the mean SOCD in Chinese grasslands was 7.791 kg C m
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