ArticleScientific data2026
A multi-decadal assessment dataset of soil organic matter in the Sanjiang Plain black soil region (1984-2023).
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Accurate estimation of soil organic matter (SOM) content in cultivated land is essential for food security and climate change mitigation. Here we present SOM-SJP-40y, a 40-year (1984-2023) dataset of topsoil SOM dynamics for the Sanjiang Plain, a typical black soil region in China. The dataset integrates 364 field samples (0-20 cm) with decadal median composites of bare soil imagery derived from Landsat time series on the Google Earth Engine platform. SOM predictions were generated using a probabilistic hybrid modeling approach combined with K-means clustering, achieving a model performance of R² = 0.72, RMSE = 8.66 g kg⁻¹, and RPD = 1.75. Using SOM-SJP-40y, we observe spatially heterogeneous SOM dynamics, with localized SOM increases in some areas since the 2010s that may be associated with recent conservation policies. This dataset offers a valuable resource for soil quality assessment, farmland protection, and carbon management in black soil regions.
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