2026-10-14T04:47:24Z https://www.scidb.cn/oai

10.57760/sciencedb.IGA.0019e 2026-08-31T11:25:04Z

2026-08-31 Spatial Variation and Stock Estimation of Soil Organic Carbon in Cropland in the Black Soil Region of Northeast China doi:10.57760/sciencedb.iga.0019e en Based on 555 cropland topsoil samples from the black soil region of Northeast China, this study used machine-learning models to evaluate the spatial distribution, driving factors, stocks, and sequestration potential of soil organic carbon. Climate and topography were identified as the main controlling factors. The estimated soil organic carbon stock was approximately 1226.64 Tg, indicating substantial carbon sequestration potential. The findings support black soil conservation, sustainable agriculture, and carbon-neutrality strategies. Soil organic carbon; Machine learning; Environmental factors 张丽梅 宋晓桐 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank