Research paperStability implications of the state factor model of soils as a nonlinear dynamical system
References (65)
Soil-geomorphic research—a selective overview
Geomorphology
(1990)The parent rock effect in the genesis of soils
Geoderma
(1973)Highly erratic spatial variability of soil pH on Iping Common, West Sussex
Catena
(1986)- et al.
The edge effect in some Ultisols in the North Carolina Coastal Plain
Geoderma
(1967) A quantitative index of soil development from field descriptions: Examples from a chronosequence in central California
Geoderma
(1982)- et al.
A quantitative comparison of soil development in four climatic regimes
Quat. Res.
(1983) Soil landscape system: A model of soil genesis
Geoderma
(1975)- et al.
Dynamic pedogenesis: New views of some key soil concepts, and a model for interpreting Quaternary soils
Quat. Res.
(1990) - et al.
Nonequilibrium geomorphic processes and deterministic chaos
Geomorphology
(1992) An evaluation of the state factor model of soil ecosystems
Ecol. Model.
(1989)
Nonlinear dynamical systems in geomorphology: Revolution or evolution?
Geomorphology
Equilibrium, disequilibrium, and nonequilibrium landforms in the landscape
Geomorphology
Dynamics and genetic modelling of soil systems
Feedback processes in soil genesis
Geoderma
Determining Lyapunov exponents from a time series
Physica D
Conceptual models in pedogenesis: Can the soil-forming functions be solved?
Geoderma
Brief description of a comprehensive three-dimensional process-response model of landform development
Z. Geomorph. Neue Folge Suppl.
The place of humans in the state factor theory of ecosystems and their soils
Soil Sci.
A field morphology rating scale for evaluating pedological development
Soil Sci.
Soils and Geomorphology
Measuring the effect of overgrazing in the Sonoran desert
Clim. Change
Climatic Geomorphology
Multiscale sources of spatial variation in soil. I. The application of fractal concepts to nested levels of soil variation. II. A non-Brownian fractal model and its application to soil survey
J. Soil Sci.
Spatial variability of soils
Ann. Assoc. Am. Geogr.
The missing geographic dimension to Soil Taxonomy
Ann. Assoc. Am. Geogr.
Asymptotic Behavior and Stability Problems in Ordinary Differential Equations
An hypothetical nine-unit landsurface model
Z. Geomorphol.
Factors of Soil Formation—A System of Quantitative Pedology
Derivation of state factor model of soils and ecosystems
The Soil Resource: Origin and Behavior
Evolution model of pedogenesis
Soil Sci.
Cited by (52)
Landscape Evolution: Landforms, Ecosystems, and Soils
2021, Landscape Evolution: Landforms, Ecosystems, and SoilsState factor network analysis of ecosystem response to climate change
2019, Ecological ComplexityModeling soil genesis at pedon and landscape scales: Achievements and problems
2015, Quaternary InternationalCitation Excerpt :The development of such models dates back into the 19th century, the most cited one being Jenny (1941) who described soil formation as a function of “CLORPT” factors. Other functional pedogenesis models are those developed by Brimhall et al. (1985) and Phillips (1993). As knowledge of soil science improved and was based on the functional approaches, the development of mechanistic models started.
Resolving the integral connection between pedogenesis and landscape evolution
2015, Earth-Science ReviewsCitation Excerpt :An early conceptual model that regarded depth distributions of soil properties as a response to a set of factors driving pedogenesis was formulated by Jenny (1941, 1961), building on earlier work by Hilgard (1914) and Dokuchaev (Glinka, 1927). Although no quantitative assessment of soil properties was feasible at that time, this factorial approach has been widely supported and is still paradigm in pedogenetic research (Phillips, 1993) as well as soil mapping (McBratney et al., 2003; Adhikari et al., 2014). Another early conceptual model considers the evolution of soil properties as a response to cumulative energy inputs into the soil (Runge, 1973).
Soil formation rates on silicate parent material in alpine environments: Different approaches-different results?
2014, GeodermaCitation Excerpt :The formation and stability of clay are dependent on both the precursor minerals and the ambient environmental conditions (Velde, 1995). At both the catchment and profile scale, weathering rates can be determined through element depletion or accumulation obtained by mass balance studies (input–output budgets; e.g. April et al., 1986; Bain et al., 1994; Drever, 1997; Johnson and Lindberg, 1992; Olsson and Melkerud, 2000; Wright et al., 1994). The following mass balance techniques have commonly been applied to measure the rates of chemical weathering (Porder et al., 2007):