Excel Data of Pore Characteristics and POM Distribution under Different Fertilization Treatments in Upland and Paddy Soils

Published: 4 July 2025| Version 1 | DOI: 10.17632/8rbyznpjj6.1
Contributor:
Zichun Guo

Description

This dataset contains quantitative measurements of soil pore structure and particulate organic matter (POM) distributions derived from two long-term fertilization field experiments conducted on red soil in Jiangxi Province, China. The study sites represent two contrasting agroecosystems: a 38-year upland field and a 43-year paddy field. Four fertilization regimes were implemented at each site: no fertilizer (Control), inorganic fertilizer (NPK), double-rate inorganic fertilizer (2NPK), and a combination of inorganic fertilizer with pig manure (NPKM). Soil samples were collected after the final crop season and scanned using high-resolution X-ray computed tomography (CT). Machine learning-based image analysis techniques were employed to segment and quantify pore networks and POM fractions within intact soil cores. POM was classified into two categories based on morphological traits: fresh POM (primarily undecomposed or partially decomposed plant residues) and decomposed POM (highly fragmented or transformed residues). The Excel file includes: • Pore structure parameters: image-based porosity, connected porosity, mean pore diameter, hydraulic radius, surface area density, and connection probability. • POM metrics: volume density, surface area density, mean volume, mean breadth, and number density for both fresh and decomposed POM.

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Institutions

  • Institute of Soil Science Chinese Academy of Sciences

Categories

Soil Science, Soil Structure, 3D Computed Tomography, Particulate Organic Matter

Funders

  • Chinese Academy of Sciences Strategic Priority Research Program Project
    Grant ID: XDA0440404
  • Jinggang Shan Agricultural Hi-tech District Project
    Grant ID: 20222-051261
  • National Natural Science Foundation of China
    Grant ID: 42007007

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