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Updated: Jun 12, 2025

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
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Machine learning reveals distinct aquatic organic matter patterns driven by soil erosion types.

Yingxin Shang1, Kaishan Song1, Zhidan Wen1

  • 1Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China.

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Summary

Soil erosion significantly impacts lake dissolved organic matter. This study maps chromophoric dissolved organic matter (CDOM) in lakes, revealing distinct patterns linked to different erosion types and their effects on carbon cycling.

Keywords:
CDOMFT ICRMSLakeRemote sensingSoil erosion

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Geochemistry

Background:

  • Chromophoric dissolved organic matter (CDOM) is crucial for understanding aquatic organic matter dynamics and global carbon cycles.
  • Soil erosion is a primary source of CDOM in lakes, altering its properties and influencing aquatic ecosystems.
  • Spatial patterns of lake CDOM in relation to diverse soil erosion types remain largely unexplored.

Purpose of the Study:

  • To develop a machine learning model for estimating CDOM concentrations in lakes using satellite data.
  • To map the spatial distribution of CDOM in lakes across different soil erosion regions.
  • To investigate the relationship between soil erosion types and the composition of aquatic dissolved organic matter (DOM).

Main Methods:

  • Developed a machine learning framework integrating over 1300 in situ water samples with Landsat 8 OLI surface reflectance data to estimate CDOM.
  • Applied the validated model to map CDOM concentrations in lakes larger than 0.1 km2 for the year 2020.
  • Utilized Principal Component Analysis (PCA) and chemical characterization to analyze CDOM variations and composition across different erosion types.

Main Results:

  • Distinct spatial patterns of CDOM were observed, with mean absorption coefficients at 355 nm varying significantly across freeze-thaw (3.73 m-1), wind (6.31 m-1), and hydraulic (3.72 m-1) erosion regions.
  • PCA analysis indicated that two axes explained over 48% of the CDOM variations related to different soil erosion types.
  • Chemical analysis revealed that polycyclic aromatics were dominant in wind and hydraulic erosion regions, while peptides and unsaturated aliphatic compounds were more prevalent in freeze-thaw erosion regions.

Conclusions:

  • Terrestrial soil erosion processes exert a significant influence on the composition of aquatic dissolved organic matter.
  • The study provides crucial insights into the connection between soil erosion and aquatic DOM, aiding in the evaluation of global carbon cycling.
  • Findings highlight the importance of considering erosion types for understanding carbon storage and biogeochemical processes in inland waters.