Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Geodermaarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Geoderma
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Quantitative models for pedogenesis — A review

Authors: Budiman Minasny; Alex. B. McBratney; Sébastien Salvador-Blanes;

Quantitative models for pedogenesis — A review

Abstract

Abstract Pedogenesis models should give us answers to: how does soil form, how does it evolve, where does it come from and how long does it take to reach this state? This paper reviews quantitative models that describe pedogenesis ab initio and the processes that directly lead to development or evolution of soil. We review factorial, energy, and mass-balance models. An early conceptual model comes from James Hutton. The factorial model of Jenny provides the first definition of soil system and quantitative approach in pedology. Much works in pedology were devoted to proposing variations of the factorial model in a qualitative way, such as the pathways, and energy models. The energy model of Volubuyev attempts to calculate the energy of soil formation at a macro-scale and the entropy of soil at the profile scale. The energy model is used mainly as description of the state of a soil. From conceptual, empirical models, a move towards mechanistic models of soil formation followed at a slower pace. The landscape model from geomorphology has made lots of progress in quantifying and modelling soil weathering and distribution in the landscape. These models usually consider physical weathering and treat the soil as a single layer of regolith. Meanwhile mechanistic pedology models consider weathering in a profile scale at a nearly level landscape. Approach to combine these two approaches has recently been proposed. We demonstrate that a rudimentary mass-balance model can simulate soil thickness and organic carbon content variation in the landscape. A soil profile can be created by applying fundamental physical and chemical processes. The mass-balance model provides a valuable platform to model soil and link pedology to other modern earth science disciplines. We discuss some criteria for pedogenesis models and possible integration of the factorial, energy, and mass-balance models.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    154
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
154
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!