FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2130030769> ?p ?o ?g. }

• W2130030769 endingPage "152" @default.
• W2130030769 startingPage "138" @default.
• W2130030769 abstract "Soil erosion processes have been studied intensively throughout the last decades and rates have been measured at the plot scale as well as at larger scales. However, the relevance of this knowledge for the modelling of long-term landscape evolution remains a topic of considerable debate. Some authors state that measurements of current rates are irrelevant to landscape evolution over a longer time span, as they are inconsistent with some fundamental characteristics of landscapes, such as the fact that the long-term sediment delivery ratio needs to be equal to 1 and that extrapolation of current rates would imply that all soils in Europe should have disappeared by now (e.g. Parsons, A.J., Wainwright, J., Brazier, R.E., Powell, D.M., 2006. Is sediment delivery a fallacy? Earth Surface Processes and Landforms 31, 1325–1328). In this study, we investigate if and to what extent estimates of long-term erosion rates are consistent with information obtained over much shorter time spans for the Loam Belt of Belgium. In a first step, observed short-term and long-term patterns in the Belgian loess area are compared statistically by classifying the study area into landscape element classes and comparing average erosion values per class. This analysis shows that the erosion intensities on the two temporal scales are of the same order of magnitude for each landscape element class. Next, the spatially distributed model WaTEM LT (Water and Tillage Erosion Model Long Term) is calibrated based on the available short-term data by optimising average erosion values for the same landscape element classes. Finally, the calibrated model is used to simulate long-term landform evolution, and is validated using long-term data based on soil profile truncation. We found that the model allows simulating landscape evolution on a millennial time scale using information derived from short-term erosion and deposition data. However, it is important that land use is taken into account for the calibration in order to obtain realistic patterns on a longer time scale. Our analysis shows that, at least for the study area considered, data obtained on erosion and deposition rates over various temporal scales have the same orders of magnitude, thereby demonstrating that measurements of current rates of processes can be highly relevant for interpreting long-term landscape evolution." @default.
• W2130030769 created "2016-06-24" @default.
• W2130030769 creator A5009957380 @default.
• W2130030769 creator A5045899310 @default.
• W2130030769 creator A5054382418 @default.
• W2130030769 creator A5054488107 @default.
• W2130030769 creator A5058377086 @default.
• W2130030769 creator A5085180900 @default.
• W2130030769 date "2008-01-01" @default.
• W2130030769 modified "2023-09-24" @default.
• W2130030769 title "The compatibility of erosion data at different temporal scales" @default.
• W2130030769 cites W1795220167 @default.
• W2130030769 cites W1972016282 @default.
• W2130030769 cites W1972241136 @default.
• W2130030769 cites W1977750948 @default.
• W2130030769 cites W1977880719 @default.
• W2130030769 cites W1980196854 @default.
• W2130030769 cites W1981252524 @default.
• W2130030769 cites W1989518921 @default.
• W2130030769 cites W1991155889 @default.
• W2130030769 cites W1993265721 @default.
• W2130030769 cites W1994061560 @default.
• W2130030769 cites W1997747464 @default.
• W2130030769 cites W2000325063 @default.
• W2130030769 cites W2012913568 @default.
• W2130030769 cites W2014123638 @default.
• W2130030769 cites W2014930733 @default.
• W2130030769 cites W2033904036 @default.
• W2130030769 cites W2036900877 @default.
• W2130030769 cites W2050154560 @default.
• W2130030769 cites W2054107324 @default.
• W2130030769 cites W2059215494 @default.
• W2130030769 cites W2061691456 @default.
• W2130030769 cites W2068829305 @default.
• W2130030769 cites W2070133126 @default.
• W2130030769 cites W2090031262 @default.
• W2130030769 cites W2090247706 @default.
• W2130030769 cites W2091666321 @default.
• W2130030769 cites W2093084553 @default.
• W2130030769 cites W2094650281 @default.
• W2130030769 cites W2095561056 @default.
• W2130030769 cites W2104395447 @default.
• W2130030769 cites W2112278332 @default.
• W2130030769 cites W2123516052 @default.
• W2130030769 cites W2127958450 @default.
• W2130030769 cites W2147485237 @default.
• W2130030769 cites W2166943888 @default.
• W2130030769 cites W2178808524 @default.
• W2130030769 doi "https://doi.org/10.1016/j.epsl.2007.09.040" @default.
• W2130030769 hasPublicationYear "2008" @default.
• W2130030769 type Work @default.
• W2130030769 sameAs 2130030769 @default.
• W2130030769 citedByCount "22" @default.
• W2130030769 countsByYear W21300307692012 @default.
• W2130030769 countsByYear W21300307692013 @default.
• W2130030769 countsByYear W21300307692014 @default.
• W2130030769 countsByYear W21300307692015 @default.
• W2130030769 countsByYear W21300307692017 @default.
• W2130030769 countsByYear W21300307692018 @default.
• W2130030769 countsByYear W21300307692021 @default.
• W2130030769 countsByYear W21300307692022 @default.
• W2130030769 countsByYear W21300307692023 @default.
• W2130030769 crossrefType "journal-article" @default.
• W2130030769 hasAuthorship W2130030769A5009957380 @default.
• W2130030769 hasAuthorship W2130030769A5045899310 @default.
• W2130030769 hasAuthorship W2130030769A5054382418 @default.
• W2130030769 hasAuthorship W2130030769A5054488107 @default.
• W2130030769 hasAuthorship W2130030769A5058377086 @default.
• W2130030769 hasAuthorship W2130030769A5085180900 @default.
• W2130030769 hasConcept C100970517 @default.
• W2130030769 hasConcept C105795698 @default.
• W2130030769 hasConcept C108497213 @default.
• W2130030769 hasConcept C114793014 @default.
• W2130030769 hasConcept C121332964 @default.
• W2130030769 hasConcept C123157820 @default.
• W2130030769 hasConcept C127313418 @default.
• W2130030769 hasConcept C132459708 @default.
• W2130030769 hasConcept C185515318 @default.
• W2130030769 hasConcept C187320778 @default.
• W2130030769 hasConcept C205649164 @default.
• W2130030769 hasConcept C33923547 @default.
• W2130030769 hasConcept C61797465 @default.
• W2130030769 hasConcept C62520636 @default.
• W2130030769 hasConcept C76886044 @default.
• W2130030769 hasConceptScore W2130030769C100970517 @default.
• W2130030769 hasConceptScore W2130030769C105795698 @default.
• W2130030769 hasConceptScore W2130030769C108497213 @default.
• W2130030769 hasConceptScore W2130030769C114793014 @default.
• W2130030769 hasConceptScore W2130030769C121332964 @default.
• W2130030769 hasConceptScore W2130030769C123157820 @default.
• W2130030769 hasConceptScore W2130030769C127313418 @default.
• W2130030769 hasConceptScore W2130030769C132459708 @default.
• W2130030769 hasConceptScore W2130030769C185515318 @default.
• W2130030769 hasConceptScore W2130030769C187320778 @default.
• W2130030769 hasConceptScore W2130030769C205649164 @default.
• W2130030769 hasConceptScore W2130030769C33923547 @default.
• W2130030769 hasConceptScore W2130030769C61797465 @default.
• W2130030769 hasConceptScore W2130030769C62520636 @default.

• next