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Modeling soil processes; review, key challenges, and new perspectives

H. Vereecken, A. Schnepf, J. W. Hopmans, M. Javaux, D. Or, T. Roose, J. Vanderborght, M. H. Young, W. Amelung, M. Aitkenhead, S. D. Allison, S. Assouline, P. Baveye, M. Berli, N. Brueggemann, P. Finke, M. Flury, T. Gaiser, G. Govers, T. Ghezzehei, P. Hallett, Harrie Jan Hendricks Franssen, J. Heppell, R. Horn, J. A. Huisman, D. Jacques, F. Jonard, S. Kollet, F. Lafolie, K. Lamorski, D. Leitner, A. McBratney, B. Minasny, C. Montzka, W. Nowak, Y. Pachepsky, J. Padarian, N. Romano, K. Roth, Y. Rothfuss, E. C. Rowe, A. Schwen, J. Sinmunek, A. Tiktak, J. van Dam, S. E. A. T. M. van der Zee, H. J. Vogel, J. A. Vrugt, T. Woehling and I. M. Young
Modeling soil processes; review, key challenges, and new perspectives
Vadose Zone Journal (May 2016) 15 (5)

Abstract

The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate-change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.


ISSN: 1539-1663
Serial Title: Vadose Zone Journal
Serial Volume: 15
Serial Issue: 5
Title: Modeling soil processes; review, key challenges, and new perspectives
Affiliation: Forschungszentrum Juelich, Julich, Germany
Published: 201605
Text Language: English
Publisher: Soil Science Society of America, Madison, WI, United States
Number of pages: 57
References: 694
Accession Number: 2016-072973
Categories: SoilsEnvironmental geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 5 tables, sketch map
Secondary Affiliation: University of California at Davis, USA, United StatesUniversite Catholique de Louvain, BEL, BelgiumEidgenoessische Technische Hochschule-Zuerich, DEU, GermanyUniversity of Southampton, GBR, United KingdomUniversity of Texas at Austin, USA, United StatesJames Hutton Institute, GBR, United KingdomUniversity of California at Irvine, USA, United StatesAgricultural Research Organization, ISR, IsraelAgroParisTech-Institute National de la Recherche Agronomique, FRA, FranceDesert Research Institute, USA, United StatesGhent University, BEL, BelgiumWashington State University at Puyallup, USA, United StatesUniversity of Bonn, DEU, GermanyKatholieke Universiteit Leuven, BEL, BelgiumUniversity of California at Merced, USA, United StatesUniversity of Aberdeen, GBR, United KingdomChristian-Albrechts Universitaet Kiel, DEU, GermanyBelgian Nuclear Research Center, BEL, BelgiumPolish Academy of Sciences, Institute of Agrophysics, POL, PolandUniversity of Vienna, AUT, AustriaUniversity of Sydney, AUS, AustraliaUniversitaet Stuttgart, DEU, GermanyUnited States Department of Agriculture, USA, United StatesUniversity of Naples Federico II, ITA, ItalyUniversitaet Heidelberg, DEU, GermanyCenter for Ecology and Hydrology, GBR, United KingdomUniversitaet fuer Bodenkultur Wien, DEU, GermanyUniversity of California at Riverside, USA, United StatesNetherlands Environmental Assessment Agency, NLD, NetherlandsWageningen University, NLD, NetherlandsZentrum fuer Umweltforschung, DEU, GermanyTechnische Universitaet Dresden, DEU, GermanyUniversity of New England, AUS, Australia
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Soil Science Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201635
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