Digital soil mapping in Germany—a review

Behrens, Thorsten; Scholten, Thomas

doi:10.1002/jpln.200521962

Cited by 90 publications

(37 citation statements)

References 27 publications

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“…Even though this functional relationship was not expressed numerically; the theoretical considerations of Jenny (1941) are the basis of today's process-oriented modeling in soil sciences. Digital soil mapping (see Lagacherie, et al 2007, McBratney et al, 2003, Behrens & Scholten, 2006 developed mostly statistical and geostatistical models to indirectly predict specific physical or chemical properties of soils incorporating specific spatial uncertainties. However, the majority of 15 these approaches are not process based, therefore being capable for site-specific soil property data regionalization but do not contribute to the understanding of the factor correlations.…”

Section: Introductionmentioning

confidence: 99%

SaLEM (v1.0) – A Soil and Landscape Evolution Model for simulation of regolith depth in periglacial environments

Bock¹,

Conrad²,

Günther³

et al. 2017

Preprint

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Abstract.We propose the implementation of a soil and landscape evolution model (SaLEM) for the spatiotemporal investigation of soil parent material evolution following a lithologically differentiated approach. Relevant parts of the established model GOLEM have been adapted for an operational GIS tool within the open source software framework 10 SAGA, thus taking advantage of SAGA's capabilities for geomorphometric analyses. The model is driven by paleo-climatic data (temperature, precipitation) representative for periglacial areas in Northern Germany over the last 50.000 years. The initial conditions have been determined for a test site by a digital terrain model and a geological model. Weathering, erosion and transport functions are calibrated using extrinsic (climatic) and intrinsic (lithologic) parameter data. First results indicate that our differentiated SaLEM approach shows some evidence for the spatiotemporal prediction of important soil parental 15 material properties particularly its depth. Future research will focus on the validation of the results against field data, and the influence of discrete events (mass movements, floods) on soil parent material formation has to be evaluated.

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Section: Introductionmentioning

confidence: 99%

SaLEM (v1.0) – A Soil and Landscape Evolution Model for simulation of regolith depth in periglacial environments

Bock¹,

Conrad²,

Günther³

et al. 2017

Preprint

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“…However, spatially distributed quantification of soil properties is difficult because of the complexity and dynamic nature of the soil system itself (Hillel, 1982). The necessity for quantified and spatially distributed soil functional properties is clear (Behrens and Scholten, 2006;McBratney et al, 2003). Moreover, explicit soil representation in models of environmental processes and systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…It does not directly provide the functional soil properties required by environmental models. Several techniques have been introduced to tackle this lack of functional description such as pedotransfer functions, geostatistical approaches, and state-factor (Clorpt) approaches (Behrens and Scholten, 2006). Pedotransfer functions (PTFs) have been developed to predict functional soil properties using easily measurable soil properties such as particle size grading, organic content, and clay content.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the sensitivity on a soil area-slope-grading relationship to changes in process parameters using a pedogenesis model

et al. 2016

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Abstract. This paper generalises the physical dependence of the relationship between contributing area, local slope, and the surface soil grading using a pedogenesis model and allows an exploration of soilscape selforganisation. A parametric study was carried out using different parent materials, erosion, and weathering mechanisms. These simulations confirmed the generality of the area-slope-d 50 relationship. The relationship is also true for other statistics of soil grading (e.g. d 10 ,d 90 ) and robust for different depths within the profile. For small area-slope regimes (i.e. hillslopes with small areas and/or slopes) only the smallest particles can be mobilised by erosion and the area-slope-d 50 relationship appears to reflect the erosion model and its Shield's Stress threshold. For higher area-slope regimes, total mobilization of the entire soil grading occurs and self-organisation reflects the relative entrainment of different size fractions. Occasionally the interaction between the in-profile weathering and surface erosion draws the bedrock to the surface and forms a bedrock outcrop. The study also shows the influence on different depth-dependent in-profile weathering functions in the formation of the equilibrium soil profile and the grading characteristics of the soil within the profile. We outline the potential of this new model and its ability to numerically explore soil and landscape properties.

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“…New generations of scientists are also attracted to the spatial analysis of soils (Behrens & Scholten, 2006;Hartemink et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Digital soil map of Quintana Roo, Mexico

et al. 2017

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A digital soil map of Quintana Roo was compiled at a 50 m pixel resolution using a geomorphopedological approach to produce a map that reflects a synoptic view of the geomorphology, environmental conditions and associated soils. Initially, it was developed using a geopedological approach and then converted to a digital map. The map was derived from soil-forming factors using mathematical methods to infer information in places where data were not available. Its compilation included three stages; the first two follow the geopedological approach that consists of a synthesis of data from the characterization of the geomorphological landscapes (vertical dissection, karst geomorphometrics, failures, geology) and soils, and the third stage incorporating environmental components (climate and vegetation) and related variables through various methods of statistical analysis (cluster, principal components and classification analysis) to obtain the pattern of soil distribution and to develop a model for the digital soil map of the study area.ARTICLE HISTORY

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Digital soil mapping in Germany—a review

Cited by 90 publications

References 27 publications

SaLEM (v1.0) – A Soil and Landscape Evolution Model for simulation of regolith depth in periglacial environments

SaLEM (v1.0) – A Soil and Landscape Evolution Model for simulation of regolith depth in periglacial environments

Exploring the sensitivity on a soil area-slope-grading relationship to changes in process parameters using a pedogenesis model

Digital soil map of Quintana Roo, Mexico

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