Matches in SemOpenAlex for { <https://semopenalex.org/work/W3093926100> ?p ?o ?g. }
- W3093926100 endingPage "114759" @default.
- W3093926100 startingPage "114759" @default.
- W3093926100 abstract "Explicit relationships and numerical models that link landscape and topographic characteristics with soil organic carbon (SOC) processes are needed. Here we calibrate a digital elevation model based Landscape Evolution Model (LEM) (SIBERIA) and assess both its ability to predict erosion and deposition and the spatial patterns of SOC. The LEM is capable of predicting both erosion and deposition at the hillslope and catchment scale. The LEM is calibrated for the site using a field data approach as well as using a laboratory flume. The predicted soil erosion rates from the LEM (1.7–2.1 t ha−1 yr−1) compare well with independently determined erosion rates using 137Cs (2.1 to 3.4 t ha−1 yr−1). We also investigate field measured and modelled soil organic carbon movement using the LEM in relation to predicted erosion and deposition patterns and find that erosion and deposition patterns are related to the spatial patterns of SOC. This is the first time that a DEM based LEM has been shown to provide reliable prediction of not just soil erosion but also SOC. The results demonstrate that the majority of SOC is being transported in the near surface soil layer (top 2 cm) and that turnover at greater depths is slower and does not correspond with any modelled patterns. The modelled erosion and deposition suggests that on average 0.06 t ha−1 yr−1 of SOC is exported by erosion from the hillslope assuming a good vegetation cover. However if the hillslope is subjected to disturbance (i.e. tillage, overgrazing) then the site will export 0.46 t ha−1 yr-1of SOC. Laboratory results using flume suggest that there was no enrichment of SOC in the eroded sediment. The methods outlined here provide a new approach to quantify the dynamic movement of sediment and SOC at both the hillslope and catchment scale." @default.
- W3093926100 created "2020-10-29" @default.
- W3093926100 creator A5061353406 @default.
- W3093926100 creator A5084280884 @default.
- W3093926100 date "2021-01-01" @default.
- W3093926100 modified "2023-10-18" @default.
- W3093926100 title "Predicting soil organic carbon movement and concentration using a soil erosion and Landscape Evolution Model" @default.
- W3093926100 cites W1521493748 @default.
- W3093926100 cites W1522959645 @default.
- W3093926100 cites W1614030319 @default.
- W3093926100 cites W1644875771 @default.
- W3093926100 cites W1828164927 @default.
- W3093926100 cites W1886349087 @default.
- W3093926100 cites W1927150020 @default.
- W3093926100 cites W1964904112 @default.
- W3093926100 cites W1969399992 @default.
- W3093926100 cites W1970427282 @default.
- W3093926100 cites W1970602348 @default.
- W3093926100 cites W1972094619 @default.
- W3093926100 cites W1974251801 @default.
- W3093926100 cites W1977710425 @default.
- W3093926100 cites W1980547049 @default.
- W3093926100 cites W1980822059 @default.
- W3093926100 cites W1984340520 @default.
- W3093926100 cites W1986818490 @default.
- W3093926100 cites W1991622840 @default.
- W3093926100 cites W1992573303 @default.
- W3093926100 cites W1994838093 @default.
- W3093926100 cites W1998055572 @default.
- W3093926100 cites W2002964498 @default.
- W3093926100 cites W2003032432 @default.
- W3093926100 cites W2004380929 @default.
- W3093926100 cites W2005279547 @default.
- W3093926100 cites W2007490163 @default.
- W3093926100 cites W2029707116 @default.
- W3093926100 cites W2032059813 @default.
- W3093926100 cites W2035812798 @default.
- W3093926100 cites W2037308434 @default.
- W3093926100 cites W2038044415 @default.
- W3093926100 cites W2039814250 @default.
- W3093926100 cites W2040436627 @default.
- W3093926100 cites W2041051150 @default.
- W3093926100 cites W2043041615 @default.
- W3093926100 cites W2043081356 @default.
- W3093926100 cites W2045121738 @default.
- W3093926100 cites W2047523452 @default.
- W3093926100 cites W2048712751 @default.
- W3093926100 cites W2050030270 @default.
- W3093926100 cites W2054325787 @default.
- W3093926100 cites W2056878098 @default.
- W3093926100 cites W2059282800 @default.
- W3093926100 cites W2074073190 @default.
- W3093926100 cites W2074914623 @default.
- W3093926100 cites W2075928876 @default.
- W3093926100 cites W2080246051 @default.
- W3093926100 cites W2082617415 @default.
- W3093926100 cites W2088654628 @default.
- W3093926100 cites W2088837030 @default.
- W3093926100 cites W2097187375 @default.
- W3093926100 cites W2104348614 @default.
- W3093926100 cites W2105136785 @default.
- W3093926100 cites W2105416767 @default.
- W3093926100 cites W2115818260 @default.
- W3093926100 cites W2128950127 @default.
- W3093926100 cites W2129067035 @default.
- W3093926100 cites W2129087847 @default.
- W3093926100 cites W2131083005 @default.
- W3093926100 cites W2131776087 @default.
- W3093926100 cites W2135141994 @default.
- W3093926100 cites W2151498078 @default.
- W3093926100 cites W2155734170 @default.
- W3093926100 cites W2160917602 @default.
- W3093926100 cites W2161436803 @default.
- W3093926100 cites W2167470982 @default.
- W3093926100 cites W2171194543 @default.
- W3093926100 cites W2197287568 @default.
- W3093926100 cites W2263203622 @default.
- W3093926100 cites W2317098300 @default.
- W3093926100 cites W2327641771 @default.
- W3093926100 cites W2514032014 @default.
- W3093926100 cites W2523419460 @default.
- W3093926100 cites W2606883145 @default.
- W3093926100 cites W2613250714 @default.
- W3093926100 cites W2758840874 @default.
- W3093926100 cites W2791566510 @default.
- W3093926100 cites W2791767244 @default.
- W3093926100 cites W2795262304 @default.
- W3093926100 cites W2887108049 @default.
- W3093926100 cites W2903727986 @default.
- W3093926100 cites W2915105998 @default.
- W3093926100 cites W3016793396 @default.
- W3093926100 doi "https://doi.org/10.1016/j.geoderma.2020.114759" @default.
- W3093926100 hasPublicationYear "2021" @default.
- W3093926100 type Work @default.
- W3093926100 sameAs 3093926100 @default.
- W3093926100 citedByCount "9" @default.
- W3093926100 countsByYear W30939261002021 @default.
- W3093926100 countsByYear W30939261002022 @default.