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 et al.
No articles found.
Jon D. Pelletier
Earth Surf. Dynam., 9, 379–391,Short summary
The sizes and shapes of alluvial channels vary in a systematic way with the water flow they convey during large floods. It is demonstrated that the depth of alluvial channels is controlled by the resistance of channel bank material to slumping, which in turn is controlled by clay content. Deeper channels have faster water flow in a manner controlled by the critical hydraulic state to which channels tend to evolve. Channel width and slope can be further quantified using conservation principles.
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76,Short summary
The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or
whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
Jon D. Pelletier
Earth Surf. Dynam., 5, 479–492,Short summary
The rate at which bedrock can be converted into transportable material is a fundamental control on the topographic evolution of mountain ranges. Using the San Gabriel Mountains, California, as an example, in this paper I demonstrate that this rate depends on topographic slope in mountain ranges with large compressive stresses via the influence of topographically induced stresses on fractures. Bedrock and climate both control this rate, but topography influences bedrock in an interesting new way.
Caitlin A. Orem and Jon D. Pelletier
Hydrol. Earth Syst. Sci., 20, 4483–4501,Short summary
We present a new method that incorporates flood-envelope-curve methods, radar-derived precipitation data, and flow-routing algorithms to calculate frequency-magnitude-area curves (FMAC). Our results show that flood discharges increase as a power-law function for small contributing areas, but start to increase more slowly at higher contributing areas. We find that our FMACs have similar and/or higher flood discharges than published flood-envelope curves for the same areas.
Jon D. Pelletier, Mary H. Nichols, and Mark A. Nearing
Earth Surf. Dynam., 4, 471–488,Short summary
This paper documents that a shift from grassland to shrubland within the past few thousand years has caused erosion rates to increase more than 10-fold and drainage density to increase approximately 3-fold in areas of otherwise similar climate and geology at a study site in Arizona. We provide a mathematical model that predicts the observed drainage density under both grassland and shrubland conditions. In the model application we are able to tightly constrain every parameter.
Jon D. Pelletier and Jason P. Field
Earth Surf. Dynam., 4, 391–405,Short summary
The law of the wall is one of the fundamental equations at the boundary of atmospheric sciences and aeolian geomorphology. In this paper, we quantify the relationship between the key parameter of the law of the wall, i.e., the roughness length, and measures of microtopography. We propose a method for predicting the roughness length that works for landscapes with microtopography over a wide range of spatial scales. The method is tested against approximately 60 000 measurements of roughness length.
Xavier Zapata-Rios, Paul D. Brooks, Peter A. Troch, Jennifer McIntosh, and Craig Rasmussen
Hydrol. Earth Syst. Sci., 20, 1103–1115,Short summary
In this study, we quantify how climate variability in the last 3 decades (1984–2012) has affected water availability and the temporal trends in effective energy and mass transfer (EEMT). This study takes place in the Jemez River basin in northern New Mexico. Results from this study indicated a decreasing trend in water availability, a reduction in forest productivity (4 g C m−2 per 10 mm of reduction in precipitation), and decreasing EEMT (1.2–1.3 MJ m2 decade−1).
C. Rasmussen, R. E. Gallery, and J. S. Fehmi
SOIL, 1, 631–639,Short summary
There is a need to understand the response of soil systems to predicted climate warming for modeling soil processes. Current experimental methods for soil warming include expensive and difficult to implement active and passive techniques. Here we test a simple, inexpensive in situ passive soil heating approach, based on easy to construct infrared mirrors that do not require automation or enclosures. Results indicated that the infrared mirrors yielded significant heating and drying of soils.
O. Crouvi, V. O. Polyakov, J. D. Pelletier, and C. Rasmussen
Earth Surf. Dynam., 3, 251–264,
M. Holleran, M. Levi, and C. Rasmussen
SOIL, 1, 47–64,
A. I. Gevaert, A. J. Teuling, R. Uijlenhoet, S. B. DeLong, T. E. Huxman, L. A. Pangle, D. D. Breshears, J. Chorover, J. D. Pelletier, S. R. Saleska, X. Zeng, and P. A. Troch
Hydrol. Earth Syst. Sci., 18, 3681–3692,
J. D. Pelletier
Earth Surf. Dynam., 2, 455–468,
C. Rasmussen and E. L. Gallo
Hydrol. Earth Syst. Sci., 17, 3389–3395,
Related subject area
Soils and the natural environmentSoilGrids 2.0: producing quality-assessed soil information for the globeDisaggregating a regional-extent digital soil map using Bayesian area-to-point regression kriging for farm-scale soil carbon assessmentOpportunities and limitations related to the application of plant-derived lipid molecular proxies in soil scienceSpatial variability in soil organic carbon in a tropical montane landscape: associations between soil organic carbon and land use, soil properties, vegetation, and topography vary across plot to landscape scalesArctic soil development on a series of marine terraces on central Spitsbergen, Svalbard: a combined geochronology, fieldwork and modelling approachLocal versus field scale soil heterogeneity characterization – a challenge for representative sampling in pollution studiesAnalysis and definition of potential new areas for viticulture in the Azores (Portugal)The interdisciplinary nature of SOIL
Luis M. de Sousa, Laura Poggio, Niels H. Batjes, Gerard B. M. Heuvelink, Bas Kempen, Eloi Riberio, and David Rossiter
Revised manuscript accepted for SOILShort summary
This paper focus on the production of quality-assessed global maps of soil properties, as implemented in the SoilGrids version 2.0 product incorporating state of the art practices and adapting them for global digital soil mapping with legacy data. The quantitative evaluation showed metrics in line with previous studies. The qualitative evaluation showed that coarse scale patterns are well reproduced. The spatial uncertainty at global scale highlighted the need for more soil observations.
Sanjeewani Nimalka Somarathna Pallegedara Dewage, Budiman Minasny, and Brendan Malone
SOIL, 6, 359–369,Short summary
Most soil management activities are implemented at farm scale, yet digital soil maps are commonly available at regional/national scales. This study proposes Bayesian area-to-point kriging to downscale regional-/national-scale soil property maps to farm scale. A regional soil carbon map with a resolution of 100 m (block support) was disaggregated to 10 m (point support) information for a farm in northern NSW, Australia. Results are presented with the uncertainty of the downscaling process.
Boris Jansen and Guido L. B. Wiesenberg
SOIL, 3, 211–234,Short summary
The application of lipids in soils as molecular proxies, also often referred to as biomarkers, has dramatically increased in the last decades. Applications range from inferring changes in past vegetation composition to unraveling the turnover of soil organic matter. However, the application of soil lipids as molecular proxies comes with several constraining factors. Here we provide a critical review of the current state of knowledge on the applicability of molecular proxies in soil science.
Marleen de Blécourt, Marife D. Corre, Ekananda Paudel, Rhett D. Harrison, Rainer Brumme, and Edzo Veldkamp
SOIL, 3, 123–137,Short summary
We examined the spatial variability in SOC in a 10 000 ha landscape in SW China. The spatial variability in SOC was largest at the plot scale (1 ha) and the associations between SOC and land use, soil properties, vegetation, and topographical attributes varied across plot to landscape scales. Our results show that sampling designs must consider the controlling factors at the scale of interest in order to elucidate their effects on SOC against the variability within and between plots.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Christian M. F. J. J. de Kleijn, Tony Reimann, Gerard B. M. Heuvelink, Zbigniew Zwoliński, Grzegorz Rachlewicz, Krzysztof Rymer, and Michael Sommer
SOIL, 2, 221–240,Short summary
This study combined fieldwork, geochronology and modelling to get a better understanding of Arctic soil development on a landscape scale. Main processes are aeolian deposition, physical and chemical weathering and silt translocation. Discrepancies between model results and field observations showed that soil and landscape development is not as straightforward as we hypothesized. Interactions between landscape processes and soil processes have resulted in a complex soil pattern in the landscape.
Z. Kardanpour, O. S. Jacobsen, and K. H. Esbensen
SOIL, 1, 695–705,
J. Madruga, E. B. Azevedo, J. F. Sampaio, F. Fernandes, F. Reis, and J. Pinheiro
SOIL, 1, 515–526,Short summary
Vineyards in the Azores have been traditionally settled on lava field terroirs whose workability and trafficability limitations make them presently unsustainable. A landscape zoning approach based on a GIS analysis, incorporating factors of climate and topography combined with the soil mapping units suitable for viticulture was developed in order to define the most representative land units, providing an overall perspective of the potential for expansion of viticulture in the Azores.
E. C. Brevik, A. Cerdà, J. Mataix-Solera, L. Pereg, J. N. Quinton, J. Six, and K. Van Oost
SOIL, 1, 117–129,Short summary
This paper provides a brief accounting of some of the many ways that the study of soils can be interdisciplinary, therefore giving examples of the types of papers we hope to see submitted to SOIL.
Almond, P., Roering, J., and Hales, T. C.: Using soil residence time to delineate spatial and temporal patterns of transient landscape response, J. Geophys. Res., 112, F03S17, https://doi.org/10.1029/2006JF000568, 2007.
Amundson, R., Heimsath, A., Owen, J., Yoo, K., and Dietrich, W. E.: Hillslope soils and vegetation, Geomorphology, 234, 122–132, https://doi.org/10.1016/j.geomorph.2014.12.031, 2015.
Anderson, R. S., Repka, J. L., and Dick, G. S.: Explicit treatment of inheritance in dating depositional surfaces using in site 10Be and 26Al, Geology, 24, 47–51, 1996.
Andre, J. and Anderson, H.: Variation of Soil Erodibility with Geology, Geographic Zone, Elevation, and Vegetation Type in Northern California Wildlands, J. Geophys. Res., 66, 3351–3358, 1961.
Bacon, A. R., Richter, D. D., Bierman, P. R., and Rood, D. H.: Coupling meteoric 10Be with pedogenic losses of 9Be to improve soil residence time estimates on an ancient North American interfluve, Geology, 40, 847–850, https://doi.org/10.1130/G33449.1, 2012.
Bierman, P. R.: Using in situ produced cosmogenic isotopes to estimate rates of landscape evolution: A review from the geomorphic perspective, J. Geophys. Res., 99, 13885–13896, https://doi.org/10.1029/94JB00459, 1994.
Birkeland, P. W.: Holocene soil chronofunctions, Southern Alps, New Zealand, Geoderma, 34, 115–134, https://doi.org/10.1016/0016-7061(84)90017-X, 1984.
Birkeland, P. W.: Soils and Geomorphology, Third., Oxford University Press, New York, New York, 1999.
Burke, R. M. and Birkeland, P. W.: Reevaluation of multiparameter relative dating techniques and their application to the glacial sequence along the eastern escarpment of the Sierra Nevada, California, Quat. Res., 11, 21–51, https://doi.org/10.1016/0033-5894(79)90068-1, 1979.
Chadwick, O. A. and Chorover, J.: The chemistry of pedogenic thresholds, Geoderma, 100, 321–353, https://doi.org/10.1016/S0016-7061(01)00027-1, 2001.
Chadwick, O. A., Brimhall, G. H., and Hendricks, D. M.: From a black to a gray box – a mass balance interpretation of pedogenesis, Geomorphology, 3, 369–390, https://doi.org/10.1016/0169-555X(90)90012-F, 1990.
Connin, S., Betancourt, J., and Quade, J.: Late Pleistocene C4 plant dominance and summer rainfall in the southwestern United States from isotopic study of herbivore teeth, Quat. Res., 50, 179–193, 1998.
Dethier, D. P., Birkeland, P. W., and McCarthy, J. A.: Using the accumulation of CBD-extractable iron and clay content to estimate soil age on stable surfaces and nearby slopes, Front Range, Colorado, Geomorphology, 173–174, 17–29, https://doi.org/10.1016/j.geomorph.2012.05.022, 2012.
Dietrich, W. E., Bellugi, D. G., Heimsath, A. M., Roering, J. J., Sklar, L. S., and Stock, J. D.: Geomorphic Transport Laws for Predicting Landscape Form and Dynamics, Geophys. Monogr., 135, 1–30, https://doi.org/10.1029/135GM09, 2003.
Dixon, J. L., Heimsath, A. M., and Amundson, R.: The critical role of climate and saprolite weathering in landscape evolution, Earth Surf. Process. Landforms, 34, 1507–1521, https://doi.org/10.1002/esp.1836, 2009.
Dokuchaev, V. V.: Russian Chernozem, edited by S. Monson, Israel Program for Scientific Translations Ltd. (For USDA-NSF), 1967 (Translated from Russian to English by N. Kaner), Jerusalem, Israel, 1883.
Egli, M., Merkli, C., Sartori, G., Mirabella, A., and Plotze, M.: Weathering, mineralogical evolution and soil organic matter along a Holocene soil toposequence developed on carbonate-rich materials, Geomorphology, 97, 675–696, https://doi.org/10.1016/j.geomorph.2007.09.011, 2008.
Favilli, F., Egli, M., Brandova, D., Ivy-Ochs, S., Kubik, P., Cherubini, P., Mirabella, A., Sartori, G., Giaccai, D., and Haeberli, W.: Combined use of relative and absolute dating techniques for detecting signals of Alpine landscape evolution during the late Pleistocene and early Holocene, Geomorphology, 112, 48–66, https://doi.org/10.1016/j.geomorph.2009.05.003, 2009.
Finke, P. A.: Modeling the genesis of luvisols as a function of topographic position in loess parent material, Quat. Int., 265, 3–17, https://doi.org/10.1016/j.quaint.2011.10.016, 2012.
Foster, M. A., Anderson, R. S., Wyshnytzky, C. E., Ouimet, W. B., and Dethier, D. P.: Hillslope lowering rates and mobile-regolith residence times from in situ and meteoric 10 Be analysis, Boulder Creek Critical Zone Observatory, Colorado, Geol. Soc. Am. Bull., 127, 862–878, https://doi.org/10.1130/B31115.1, 2015.
Fullen, M. A.: Compaction, hydrological processes and soil erosion on loamy sands in east Shropshire, England, Soil Tillage Res., 6, 17–29, https://doi.org/10.1016/0167-1987(85)90003-0, 1985.
Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C., Jayne, S. R., Lawrence, D. M., Neale, R. B., Rasch, P. J., Vertenstein, M., Worley, P. H., Yang, Z. L., and Zhang, M.: The community climate system model version 4, J. Clim., 24, 4973–4991, https://doi.org/10.1175/2011JCLI4083.1, 2011.
Gosse, J. C. and Phillips, F. M.: Terrestrial in situ cosmogenic nuclides: theory and application, Quat. Sci. Rev., 20, 1475–1560, https://doi.org/10.1016/S0277-3791(00)00171-2, 2001.
Granger, D. E. and Muzikar, P. F.: Dating sediment burial with in situ-produced cosmogenic nuclides: Theory, techniques, and limitations, Earth Planet. Sci. Lett., 188, 269–281, https://doi.org/10.1016/S0012-821X(01)00309-0, 2001.
Grieve, I. C.: Human impacts on soil properties and their implications for the sensitivity of soil systems in Scotland, Catena, 42, 361–374, https://doi.org/10.1016/S0341-8162(00)00147-8, 2001.
Hamza, M. A. and Anderson, W. K.: Soil compaction in cropping systems: A review of the nature, causes and possible solutions, Soil Tillage Res., 82, 121–145, https://doi.org/10.1016/j.still.2004.08.009, 2005.
Harden, J.: A quantitative index of soil development from field descriptions: Examples from a chronosequence in central California, Geoderma, 28, 1–28, 1982.
Harden, J.: Soils Developed in Granitic Alluvium near Merced, California, USGS Bulletin 1590-A, Washington, DC, 1987.
Harden, J. W. and Taylor, E. M.: A quantitative comparison of Soil Development in four climatic regimes, Quat. Res., 20, 342–359, https://doi.org/10.1016/0033-5894(83)90017-0, 1983.
Heckman, K. and Rasmussen, C.: Lithologic controls on regolith weathering and mass flux in forested ecosystems of the southwestern USA, Geoderma, 164, 99–111, https://doi.org/10.1016/j.geoderma.2011.05.003, 2011.
Heimsath, A. M., Dietrich, W. E., Nishiizumi, K., and Finkel, R. C.: The soil production function and landscape equilibrium, Nature, 388, 358–361, 1997.
Heimsath, A. M., Chappell, J., Spooner, N. A., and Questiaux, D. G.: Creeping soil, Geology, 30, 111, https://doi.org/10.1130/0091-7613(2002)030<0111:CS>2.0.CO;2, 2002.
Holleran, M., Levi, M., and Rasmussen, C.: Quantifying soil and critical zone variability in a forested catchment through digital soil mapping, SOIL, 1, 47–64, https://doi.org/10.5194/soil-1-47-2015, 2015.
Hotchkiss, S., Vitousek, P. M., Chadwick, O. A., and Price, J.: Climate Cycles, Geomorphological Change, and the Interpretation of Soil and Ecosystem Development, Ecosystems, 3, 522–533, https://doi.org/10.1007/s100210000046, 2000.
Howard, J., Amos, D., and Daniels, W.: Alluvial soil chronosequence in the Inner Coastal Plain, Virginia, Quat. Res., 39, 201–213, 1993.
Hsu, L. and Pelletier, J. D.: Correlation and dating of Quaternary alluvial-fan surfaces using scarp diffusion, Geomorphology, 60, 319–335, https://doi.org/10.1016/j.geomorph.2003.08.007, 2004.
Huang, W.-S., Tsai, H., Tsai, C.-C., Hseu, Z.-Y., and Chen, Z.-S.: Subtropical Soil Chronosequence on Holocene Marine Terraces in Eastern Taiwan, Soil Sci. Soc. Am. J., 74, 1271, https://doi.org/10.2136/sssaj2009.0276, 2010.
Huckle, D., Ma, L., McIntosh, J., Vazquez-Ortega, A., Rasmussen, C., and Chorover, J.: U-series isotopic signatures of soils and headwater streams in a semi-arid complex volcanic terrain, Chem. Geo., 445, 68–83, https://doi.org/10.1016/j.chemgeo.2016.04.003, 2016.
Huggett, R. J.: Soil chronosequences, soil development, and soil evolution: a critical review, Catena, 32, 155–172, https://doi.org/10.1016/S0341-8162(98)00053-8, 1998.
Imbrie, J., Boyle, I. E. A., Clemens, S. C., Duffy, A., Howard, I. W. R., Kukla, G., Kutzbach, J., Martinson, D. G., Mclntyre, A., Mix, A. C., Molfino, B., Morley, J. J., Pisias, N. G., Prell, W. L., Peterson, L. C., and Toggweiler, J. R.: On the structure and origin of major glaciation cycles 1. Linear responses to Milankovith forcing, Paleoceanography, 7, 701–738, 1992.
Jackson, M., Tyler, S., Willis, A., Bourbeau, G., and Pennington, R.: Weathering sequence of clay-size minerals in soils and sediments. I. Fundamental Generalizations, J. Phys. Colloid Chem., 52, 1237–1260, 1948.
Jenny, H.: Factors of Soil Formation: A System of Quantitative Pedology, Dover Publications, Inc, New York, New York, available at: http://books.google.com/books?hl=en&lr=&id=orjZZS3H-hAC&oi=fnd&pg=PP1&dq=Factors+of+Soil+Formation:+A+System+of+Quantitative+Pedology&ots=fIfMb5fWkk&sig=e6Ev-CJjgsMYaO8DzFszbQK6Sss (last access: 6 November 2014), 1941.
Jenny, H.: Derivation of state factor equations of soils and ecosystems, Soil Sci. Soc. Am. J., 385–388, 1961.
Johnson, D. and Watson-Stegner, D.: Evolution model of pedogenesis, Soil Sci., 143, 349–366, 1987.
Lybrand, R. A. and Rasmussen, C.: Quantifying Climate and Landscape Position Controls on Soil Development in Semiarid Ecosystems, Soil Sci. Soc. Am. J., 79, 104–116, https://doi.org/10.2136/sssaj2014.06.0242, 2015.
Maejima, Y., Matsuzaki, H., and Higashi, T.: Application of cosmogenic 10Be to dating soils on the raised coral reef terraces of Kikai Island, southwest Japan, Geoderma, 126, 389–399, https://doi.org/10.1016/j.geoderma.2004.10.004, 2005.
Matthews, J. A. and Shakesby, R. A.: The status of the “Little Ice Age” in southern Norway: relative-age dating of Neoglacial moraines with Schmidt hammer and lichenometry, Boreas, 13, 333–346, https://doi.org/10.1111/j.1502-3885.1984.tb01128.x, 1984.
McFadden, L. and Weldon, R.: Rates and processes of soil development on Quaternary terraces in Cajon Pass, California, Geol. Soc. Am. Bull., 98, 280–293, 1987.
McFadden, L., Wells, S., and Jercinovich, M.: Influences of eolian and pedogenic processes on the origin and evolution of desert pavements, Geology, 15, 504–508, 1987.
McKenzie, N. J. and Ryan, P. J.: Spatial prediction of soil properties using environmental correlation, Geoderma, 89, 67–94, https://doi.org/10.1016/S0016-7061(98)00137-2, 1999.
Merritts, D., Chadwick, O., and Hendricks, D.: Rates and processes of soil evolution on uplifted marine terraces, northern California, Geoderma, 51, 241–275, 1991.
Minasny, B. and McBratney, A.: A rudimentary mechanistic model for soil production and landscape development, Geoderma, 90, 3–21, 1999.
Minasny, B. and McBratney, A.: A rudimentary mechanistic model for soil formation and landscape development II. A two-dimensional model incorporating chemical weathering, Geoderma, 103, 161–179, 2001.
Muhs, D. R.: Intrinsic thresholds in soil systems., Phys. Geogr., 5, 99–110, https://doi.org/10.1080/02723646.1984.10642246, 1984.
Muhs, D. R.: Evolution of Soils on Quaternary Reef Terraces of Barbados, West Indies, Quat. Res., 56, 66–78, https://doi.org/10.1006/qres.2001.2237, 2001.
Muhs, D. R., Crittenden, R. C., Rosholt, J. N., Bush, C. A., and Stewart, K.: Genesis of marine terrace soils, Barbados, West Indies: evidence from mineralogy and geochemistry, Earth Surf. Process. Landforms, 12, 605–618, 1987.
Muhs, D. R., Bettis, E. a., Been, J., and McGeehin, J. P.: Impact of Climate and Parent Material on Chemical Weathering in Loess-derived Soils of the Mississippi River Valley, Soil Sci. Soc. Am. J., 65, 1761, https://doi.org/10.2136/sssaj2001.1761, 2001.
Neff, J., Reynolds, R., Belnap, J., and Lamothe, P.: Multi-decadal impacts of grazing on soil physical and biogeochemical properties in southeast Utah, Ecol. Appl., 15, 87–95, 2005.
New, M., Hulme, M., and Jones, P.: Representing Twentieth-Century Space – Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology, J. Clim., 12, 829–856, 1999.
Nicholas, J. W. and Butler, D. R.: Application of Relative-Age Dating Techniques on Rock Glaciers of the La Sal Mountains, Utah: An Interpretation of Holocene Paleoclimates, Geogr. Ann. Ser. A, Phys. Geogr., 78, 1–18, 1996.
Parsons, R. and Herriman, R.: A Lithosequence in the Mountains of Southwestern Oregon, Soil Sci. Soc. Am. J., 39, 943–948, 1975.
Pelletier, J. D. and Rasmussen, C.: Geomorphically based predictive mapping of soil thickness in upland watersheds, Water Resour. Res., 45, W09417, https://doi.org/10.1029/2008WR007319, 2009a.
Pelletier, J. D. and Rasmussen, C.: Quantifying the climatic and tectonic controls on hillslope steepness and erosion rate, Lithosphere, 1, 73–80, https://doi.org/10.1130/L3.1, 2009b.
Pelletier, J. D., DeLong, S. B., Al-Suwaidi, a. H., Cline, M., Lewis, Y., Psillas, J. L., and Yanites, B.: Evolution of the Bonneville shoreline scarp in west-central Utah: Comparison of scarp-analysis methods and implications for the diffusions model of hillslope evolution, Geomorphology, 74, 257–270, https://doi.org/10.1016/j.geomorph.2005.08.008, 2006.
Petit, J., Jouzel, J., Raynaud, D., and Barkov, N.: Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica, Nature, 399, 429–436, 1999.
Phillips, J. D.: An evaluation of the state factor model of soil ecosystems, Ecol. Modell., 45, 165–177, 1989.
Phillips, J. D.: Progressive and Regressive Pedogenesis and Complex Soil Evolution, Quat. Res., 40, 169–176, 1993a.
Phillips, J. D.: Stability implications of the state factor model of soils as a nonlinear dynamical system, Geoderma, 58, 1–15, https://doi.org/10.1016/0016-7061(93)90082-V, 1993b.
Portenga, E. W. and Bierman, P. R.: Understanding earth's eroding surface with 10Be, GSA Today, 21, 4–10, https://doi.org/10.1130/G111A.1, 2011.
Pouyat, R. V, Yesilonis, I. D., Russell-Anelli, J., and Neerchal, N. K.: Soil chemical and physical properties that differentiate urban land-use and cover types, Soil Sci. Soc. Am. J., 71, 1010–1019, https://doi.org/10.2136/sssaj2006.0164, 2007.
Pye, K.: Formation of quartz silt during humid tropical weathering of dune sands, Sediment. Geol., 34, 267–282, 1983.
Pye, K. and Sperling, C. H. B.: Experimental investigation of silt formation by static breakage processes: the effect of temperature, moisture and salt on quartz dune sand and granitic regolith, Sedimentology, 30, 49–62, https://doi.org/10.1111/j.1365-3091.1983.tb00649.x, 1983.
Rasmussen, C.: Mass balance of carbon cycling and mineral weathering across a semiarid environmental gradient, Geochim. Cosmochim. Acta, 72, A778, 2008.
Rasmussen, C. and Tabor, N. J.: Applying a Quantitative Pedogenic Energy Model across a Range of Environmental Gradients, Soil Sci. Soc. Am. J., 71, 1719, https://doi.org/10.2136/sssaj2007.0051, 2007.
Rasmussen, C., Southard, R. J., and Horwath, W. R.: Modeling Energy Inputs to Predict Pedogenic Environments Using Regional Environmental Databases, Soil Sci. Soc. Am. J., 69, 1266–1274, https://doi.org/10.2136/sssaj2003.0283, 2005.
Rasmussen, C., Troch, P. A., Chorover, J., Brooks, P., Pelletier, J., and Huxman, T. E.: An open system framework for integrating critical zone structure and function, Biogeochemistry, 102, 15–29, https://doi.org/10.1007/s10533-010-9476-8, 2011.
Rasmussen, C., Pelletier, J. D., Troch, P. A., Swetnam, T. L., and Chorover, J.: Quantifying Topographic and Vegetation Effects on the Transfer of Energy and Mass to the Critical Zone, Vadose Zo. J., 14, https://doi.org/10.2136/vzj2014.07.0102, 2015.
Riebe, C. S., Kirchner, J. W., and Finkel, R. C.: Erosional and climatic effects on long-term chemical weathering rates in granitic landscapes spanning diverse climate regimes, Earth Planet. Sci. Lett., 224, 547–562, https://doi.org/10.1016/j.epsl.2004.05.019, 2004.
Runge, E. C. A.: Soil Development Sequences and Energy Models, Soil Sci., 115, 183–193, https://doi.org/10.1097/00010694-197303000-00003, 1973.
Salvador-Blanes, S., Minasny, B., and McBratney, A. B.: Modelling long-term in situ soil profile evolution: application to the genesis of soil profiles containing stone layers, Eur. J. Soil Sci., 58, 1535–1548, https://doi.org/10.1111/j.1365-2389.2007.00961.x, 2007.
Schaetzl, R. and Anderson, S.: Soils: Genesis and Geomorphology, First, Cambridge University Press, Cambridge, UK, 2005.
Sharmeen, S. and Willgoose, G.: The interaction between armouring and particle weathering for eroding landscapes, Earth Surf. Process. Landforms, 31, 1195–1210, https://doi.org/10.1002/esp.1397, 2006.
Shoeneberger, P., Wysocki, D., Benham, E., and Soil Survey Staff: Field book for describing and sampling soils, Version 3., Natural Resources Conservation Service, National Soil Survey Center, Lincoln, NE, available at: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Field+Book+for+Describing+and+Sampling+Soils#2 (last access: 24 June 2015), 2012.
Smeck, N., Runge, E., and Mackintosh, E.: Dynamics and genetic modelling of soil systems, in: Pedogenesis and Soil Taxonomy I. Concepts and Interactions, edited by: Wilding, L., Smeck, N., and Hall, G., 51–81, Elsevier, Amsterdam, ND, 1983.
Soil Survey Staff: Keys to Soil Taxonomy, 11th ed., United States Department of Agriculture, National Resources Conservation Service, 2010.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Temme, A. J. A. M. and Vanwalleghem, T.: LORICA – A new model for linking landscape and soil profile evolution: Development and sensitivity analysis, Comput. Geosci., 90, https://doi.org/10.1016/j.cageo.2015.08.004, 2015.
Ugarte, M., Militino, A., and Arnholt, A.: Probability and Statistics with R, CRC Press, Boca Raton, FL, 2008.
Vanwalleghem, T., Stockmann, U., Minasny, B., and McBratney, A. B.: A quantitative model for integrating landscape evolution and soil formation, J. Geophys. Res.-Earth Surf., 118, 331–347, https://doi.org/10.1029/2011JF002296, 2013.
Volobuyev, V.: Ecology of soils, Academy of Sciences of the Azerbaijan SSR. Institute of Soil Science and Agronomy, Israel Program for Scientific Translations, Jerusalem, Israel, 1964.
Wallace, J. M. and Hobbs, P. V: Atmospheric Science: An Introductory Survey, Second, Academic Press Inc., Amsterdam, ND, 2006.
West, N., Kirby, E., Bierman, P., Slingerland, R., Ma, L., Rood, D., and Brantley, S.: Regolith production and transport at the Susquehanna Shale Hills Critical Zone Observatory, part 2: Insights from meteoric10Be, J. Geophys. Res.-Earth Surf., 118, 1877–1896, https://doi.org/10.1002/jgrf.20121, 2013.
White, A. F., Bullen, T. D., Schulz, M. S., Blum, A. E., Huntington, T. G., and Peters, N. E.: Differential rates of feldspar weathering in granitic regoliths, Geochim. Cosmochim. Acta, 65, 847–869, https://doi.org/10.1016/S0016-7037(00)00577-9, 2001.
Wilson, M. J.: Weathering of the primary rock-forming minerals: processes, products and rates, Clay Miner., 39, 233–266, https://doi.org/10.1180/0009855043930133, 2004.
Yaalon, D.: Conceptual models in pedogenesis: Can soil-forming functions be solved?, Geoderma, 14, 189–205, 1975.
Yoo, K. and Mudd, S. M.: Discrepancy between mineral residence time and soil age: Implications for the interpretation of chemical weathering rates, Geology, 36, 35–38, https://doi.org/10.1130/G24285A.1, 2008a.
Yoo, K. and Mudd, S. M.: Toward process-based modeling of geochemical soil formation across diverse landforms: A new mathematical framework, Geoderma, 146, 248–260, https://doi.org/10.1016/j.geoderma.2008.05.029, 2008b.
Yoo, K., Amundson, R., Heimsath, A. M., Dietrich, W. E., and Brimhall, G. H.: Integration of geochemical mass balance with sediment transport to calculate rates of soil chemical weathering and transport on hillslopes, J. Geophys. Res.-F Earth Surf., 112, F02013, https://doi.org/10.1029/2005JF000402, 2007.
Zachos, J., Pagani, M., Sloan, L., Thomas, E., and Billups, K.: Trends, rhythms, and aberrations in global climate 65 Ma to present, Science, 292, 686–693, https://doi.org/10.1126/science.1059412, 2001.
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.
Here we demonstrate the use of a probabilistic approach for quantifying soil physical properties...