2012
DOI: 10.1016/j.crte.2012.10.012
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Soils as pacemakers and limiters of global silicate weathering

Abstract: The weathering and erosion processes that produce and destroy regolith are widely recognized to be positively correlated across diverse landscapes. However, conceptual and numerical models predict some limits to this relationship that remain largely untested. Using new global data compilations of soil production and weathering rates from cosmogenic nuclides and silicate weathering fluxes from global rivers, we show that the weatheringerosion relationship is capped by certain 'speed limits'. We estimate a soil … Show more

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Cited by 127 publications
(169 citation statements)
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“…We propose a conceptual model of a rapidly eroding landscape where the background weathering is set by lithology and climate, overprinted by the impact of landslides. The importance of reactive mineral phases, weathering rapidly in small and specific parts of the landscape affected by deep-seated erosion, is a contrast to existing concepts, which do not encompass the stochastic nature of weathering (Dixon and von Blanckenburg, 2012;Maher and Chamberlain, 2014;Riebe et al, 2003). A full description of the impact of landsliding on weathering should include the effect on the availability of reactive phases in addition to the previously modelled spatial stochasticity (Gabet, 2007).…”
Section: Discussionmentioning
confidence: 94%
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“…We propose a conceptual model of a rapidly eroding landscape where the background weathering is set by lithology and climate, overprinted by the impact of landslides. The importance of reactive mineral phases, weathering rapidly in small and specific parts of the landscape affected by deep-seated erosion, is a contrast to existing concepts, which do not encompass the stochastic nature of weathering (Dixon and von Blanckenburg, 2012;Maher and Chamberlain, 2014;Riebe et al, 2003). A full description of the impact of landsliding on weathering should include the effect on the availability of reactive phases in addition to the previously modelled spatial stochasticity (Gabet, 2007).…”
Section: Discussionmentioning
confidence: 94%
“…It has been shown in the western Southern Alps (WSA) of New Zealand (Emberson et al, 2016) that this can give rise to strong gradients in dissolved solid concentrations in surface waters on hillslopes, with highest concentrations in seepage from landslides, and that the rate of landsliding is an important control on the chemistry of the rivers draining the mountain belt. Localised landslide weathering, prone to the spatial and temporal variability of mass wasting, contrasts with common models in which weathering is controlled by steady and distributed erosion of a laterally continuous soil and regolith mantle (Dixon and von Blanckenburg, 2012;Hilley et al, 2010;Ferrier and Kirchner, 2008;West, 2012;Lebedeva et al, 2010;D. D. Li et al, 2014).…”
Section: Introductionmentioning
confidence: 94%
“…P soil =F soil +D soil (dashed line). d Erosion rates (E) related to P soil as calculated in c, assuming that E is in the range of 0.5-0.9×D (Dixon and von Blanckenburg 2012). Dashed line: E=0.9×D…”
Section: Soil Formation and Production In Alpine Grasslandsmentioning
confidence: 99%
“…produced soil mass or denudation divided by the surface age); b Erosion rates (E; Eq. 5 and 6) related to soil depth (calculated by dividing P soil(I) by soil density (1.2 t/m 3 ; an average value considering top-and subsoil material) assuming that E is in the range of 0.5-0.9×D (Dixon and von Blanckenburg 2012). Dashed line: E=0.9×D.…”
Section: Soil Formation and Production In Alpine Grasslandsmentioning
confidence: 99%
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