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Articles | Volume 3, issue 1
Articles | Volume 3, issue 1
https://doi.org/10.5194/soil-3-67-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/soil-3-67-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 3, issue 1
Original research article
 | 
30 Mar 2017
Original research article |  | 30 Mar 2017

A probabilistic approach to quantifying soil physical properties via time-integrated energy and mass input

Christopher Shepard, Marcel G. Schaap, Jon D. Pelletier, and Craig Rasmussen

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Latest update: 29 Jun 2024
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Short summary
Here we demonstrate the use of a probabilistic approach for quantifying soil physical properties and variability using time and environmental input. We applied this approach to a synthesis of soil chronosequences, i.e., soils that change with time. The model effectively predicted clay content across the soil chronosequences and for soils in complex terrain using soil depth as a proxy for hill slope. This model represents the first attempt to model soils from a probabilistic viewpoint.
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