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Environmental stochasticity controls soil erosion variability.

Jongho Kim1,2, Valeriy Y Ivanov1, Simone Fatichi3

  • 1Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA.

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|March 2, 2016
PubMed
Summary
This summary is machine-generated.

Soil erosion variability decreases at larger temporal scales due to a compensation effect. A novel stochasticity index enhances predictability in erosion assessments by quantifying hydrometeorologic variability.

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Area of Science:

  • Geosciences
  • Environmental Science
  • Hydrology

Background:

  • Soil erosion by water is critical for environmental research, but prognostic models face challenges due to scale limitations and high spatiotemporal variability of soil loss.
  • Accurate prediction requires a deeper understanding of erosion processes and their interactions to infer scaling properties.

Purpose of the Study:

  • To investigate the temporal-scale dependency of soil loss variability across diverse environments.
  • To identify factors influencing the reduction of soil loss variability at larger temporal scales.
  • To develop a novel index for assessing the predictability of erosion assessments.

Main Methods:

  • Analysis of soil loss data from multiple environmental settings.
  • Examination of the 'compensation effect' involving source-limited and transport-limited erosion regimes.
  • Derivation and application of a stochasticity index based on intra- and inter-event hydrometeorologic variability.

Main Results:

  • Soil erosion variability diminishes with increasing temporal scales, though the rate of reduction is environment-specific.
  • The 'compensation effect,' a temporal alternation of erosion regimes, explains the reduced variability.
  • A higher stochasticity index correlates with greater reduction in soil loss variability and enhanced predictability.

Conclusions:

  • Temporal-scale dependency significantly impacts soil loss variability, with predictability improving at aggregated scales.
  • The derived stochasticity index offers a valuable tool for estimating uncertainty in soil erosion assessments.
  • Understanding hydrometeorologic variability is key to improving large-scale soil erosion modeling and management.