Evolution Model of Pedogenesis

Johnson, Donald L.; Watson-Stegner, Donna

doi:10.1097/00010694-198705000-00005

Cited by 268 publications

(138 citation statements)

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“…This type of degradation ultimately modifies the soil physical and chemical properties. Such modifications resulting through the regressive pedogenesis 12 restrict the entry of rain water, and reduces the storage and release of soil water 13 . The lack of soil water impairs the possibility of growing both rainy and winter crops in a year, in vast areas especially in black soils of SAT with mean annual rainfall (MAR) <1000 mm (ref.…”

Section: Smith and Powlsonmentioning

confidence: 99%

ICRISAT, India Soils:Yesterday, Today and Tomorrow

Bhattacharyya

Wani²,

Pal

et al. 2016

Current Science

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Associated red and black soils are common in the Deccan plateau and the Indian peninsula. The red soils are formed due to the progressive landscape reduction process and black soils due to the aggradation processes; and they are often spatially associated maintaining their typical characteristics over the years. These soils are subject to changes due to age-long management practices and the other factors like climate change. To maintain soil quality, it is essential to monitor changes in soil properties preferably using benchmark (BM) soil sites. One such example lies at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) farm in Patancheru, India where red (Patancheru) and black (Kasireddipalli) soils co-exist in close association under almost similar topographical condition, which also represents very commonly occurring spatially associated soils. The database generated over the years for these two dominant soils that are under cultural practices for the last 2-3 decades, helps us understand the relative changes in properties over a time scale. To do this exercise, we revisited the BM spots as the data on the original characterization of these soils since the development of the farm, are available, for comparative evaluation. We also attempted to make prediction of future changes in properties for these two important and representative black and red soils of the ICRISAT farm in Patancheru, India.

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Section: Smith and Powlsonmentioning

confidence: 99%

ICRISAT, India Soils:Yesterday, Today and Tomorrow

Bhattacharyya

Wani²,

Pal

et al. 2016

Current Science

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“…Additions of mineral matter to the soil profile (deposition of atmospheric dust, localized eolian deposits, upslope colluvium, etc.) may cause artifact burial via the process of soil upbuilding (Riecken and Poetsch, 1960;Johnson, 1985;Johnson and Watson-Stegner, 1987). In soil upbuilding, the mass of the soil body increases and the surface of the soil rises in absolute elevation as pedogenesis keeps pace with sediment additions.…”

Section: Burial Processesmentioning

confidence: 99%

The good earthworm: How natural processes preserve upland Archaic archaeological sites of western Illinois, U.S.A.

Nest

2002

Geoarchaeology

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In western Illinois, many soil profiles developed into upland loess deposits (Peoria Silt) contain Archaic period artifacts greater than 3500 yr B.P. in stone zones below plow level. For artifacts in prairie and prairie-forest transition soils (not forest soils), depth distribution curves suggest they were buried in biomantles by small soil fauna. Artifacts of sizes archaeologists routinely collect generally move down while retaining fine-scale horizontal integrity. The process results in stratigraphic separation of Archaic and Woodland period components that otherwise would commingle at the surface. The characteristic distribution of known upland sites, narrowly rimming stream valley headwaters, reflects incomplete burial of materials on steeper forested slopes. On adjacent gently sloping upper shoulder segments of valleys where grassy cover more strongly influences soil development (and by inference on broad level uplands where true prairie soils occur), Archaic artifacts will be buried in the biomantle and go undetected by surface surveyors. ᭧

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“…The model assumes that climate was constant over the entire duration of pedogenesis. The model makes no assumptions about the progressive and regressive processes that drive pedogenesis; by weighting all profiles equally, the net effects of both progressive (e.g., horizonation, clay accumulation, reddening) and regressive (e.g., haplodization, erosion, pedoturbation) pedogenic processes (Johnson and Watson-Stegner, 1987;Phillips, 1993a) are captured in the model structure. The model also does not consider the net effect of progressive and regressive pedogenic processes on the distribution of selected soil properties with depth.…”

Section: Probabilistic Model Of Soil Property Changementioning

confidence: 99%

“…For example, greater chemical weathering and clay production due to increased water residence time caused by argillic horizon development is the result of an internal feedback that is independent of the external climatic and biological system (Schaetzl and Anderson, 2005). These thresholds can operate as progressive or regressive processes, driving soil formation forward or hindering further development (Johnson and Watson-Stegner, 1987;Phillips, 1993a). Internal soil development feedbacks were not explicitly considered in the present model formulation.…”

Section: Limitations and Potential Refinementsmentioning

confidence: 99%

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

Shepard

Schaap

Pelletier

et al. 2017

SOIL

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Abstract. Soils form as the result of a complex suite of biogeochemical and physical processes; however, effective modeling of soil property change and variability is still limited and does not yield widely applicable results. We suggest that predicting a distribution of probable values based upon the soil-forming state factors is more effective and applicable than predicting discrete values. Here we present a probabilistic approach for quantifying soil property variability through integrating energy and mass inputs over time. We analyzed changes in the distributions of soil texture and solum thickness as a function of increasing time and pedogenic energy (effective energy and mass transfer, EEMT) using soil chronosequence data compiled from the literature. Bivariate normal probability distributions of soil properties were parameterized using the chronosequence data; from the bivariate distributions, conditional univariate distributions based on the age and flux of matter and energy into the soil were calculated and probable ranges of each soil property determined. We tested the ability of this approach to predict the soil properties of the original soil chronosequence database and soil properties in complex terrain at several Critical Zone Observatories in the US. The presented probabilistic framework has the potential to greatly inform our understanding of soil evolution over geologic timescales. Considering soils probabilistically captures soil variability across multiple scales and explicitly quantifies uncertainty in soil property change with time.

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Evolution Model of Pedogenesis

Cited by 268 publications

References 0 publications

ICRISAT, India Soils:Yesterday, Today and Tomorrow

ICRISAT, India Soils:Yesterday, Today and Tomorrow

The good earthworm: How natural processes preserve upland Archaic archaeological sites of western Illinois, U.S.A.

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

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