2016
DOI: 10.1016/j.epsl.2016.01.017
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Simulating the mobility of meteoric 10 Be in the landscape through a coupled soil-hillslope model (Be2D)

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Cited by 34 publications
(45 citation statements)
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“…Our dataset provides preliminary insights in the dynamic interplay between soil weathering degree and natural versus anthropogenic erosion-driven soil rejuvenation. In combination with information derived from cosmogenic radionuclides (Schoonejans et al, 2017), our dataset enables evaluation and calibration of numerical models (Campforts et al, 2016) potentially allowing spatial and temporal extrapolation of the relation between land use and temporal dynamics of soil evolution along hillslopes. Although the conversion of forest to cropland can directly influence soil weathering processes through changes in e.g.…”
Section: Geomorphology and Land Use Influencing Erosion-driven Soil Rmentioning
confidence: 99%
“…Our dataset provides preliminary insights in the dynamic interplay between soil weathering degree and natural versus anthropogenic erosion-driven soil rejuvenation. In combination with information derived from cosmogenic radionuclides (Schoonejans et al, 2017), our dataset enables evaluation and calibration of numerical models (Campforts et al, 2016) potentially allowing spatial and temporal extrapolation of the relation between land use and temporal dynamics of soil evolution along hillslopes. Although the conversion of forest to cropland can directly influence soil weathering processes through changes in e.g.…”
Section: Geomorphology and Land Use Influencing Erosion-driven Soil Rmentioning
confidence: 99%
“…The higher the value for K D , the more 10 Be m will be tightly sorbed to the upper soil layers and the higher D s 0 ,B must be to obtain vertical mixing of the same magnitude. Other possible parameter interdependencies are evaluated through a series of synthetic model runs in Campforts et al () and Figure therein.…”
Section: Discussionmentioning
confidence: 99%
“…The latter is done by simulating presettlement dynamics with the parameter values derived in the first stage and constraining postsettlement processes (tillage and rill/inter-rill erosion via overland flow) using a second optimization routine. Details of the Be2D model and parameter selection and optimization are provided in Text S3 and references therein (Campforts et al, 2016;Campforts & Govers, 2015;Govers et al, 2007;van Oost et al, 2003).…”
Section: Be2dmentioning
confidence: 99%
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“…The downstream reaches of the Paute catchment are a good example of a transient landscape where a major knickzone is propagating upstream in the catchment resulting in steep threshold topography downstream of the knickzone ( Figure S3 and Vanacker et al, 2015). Facing a sudden lowering of their base level, soil production and linear hillslope processes such as soil creep (Campforts et al, 2016;Vanacker et al, 2019) are not any longer able to catch up with rapidly incising rivers ( Fig. 15 in Hurst et al, 2012).…”
mentioning
confidence: 99%