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The compatibility of erosion data at different temporal scales

机译:不同时间尺度上侵蚀数据的兼容性

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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 I 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. (c) 2007 Elsevier B.V. All rights reserved.
机译:在过去的几十年中,对土壤侵蚀过程进行了深入研究,并在样地规模和更大尺度上测量了土壤侵蚀速率。但是,这些知识与长期景观演变建模的相关性仍然是一个颇有争议的话题。一些作者指出,当前速率的测量与较长时间范围内的景观演变无关,因为它们与景观的某些基本特征不一致,例如,长期沉积物输送比必须等于I,并且根据目前的汇率推算,这意味着欧洲现在所有的土壤都应该消失了(例如,Parsons,AJ,Wainwright,J.,Brazier,RE,Powell,DM,2006年)。 1325-1328)。在这项研究中,我们调查了长期侵蚀率的估计值,以及在何种程度上与比利时Loan Belt短得多的时间范围内获得的信息相一致。第一步,通过将研究区域划分为景观要素类别并比较每个类别的平均侵蚀值,对比利时黄土地区观察到的短期和长期格局进行统计比较。该分析表明,对于每个景观要素类别,两个时间尺度上的侵蚀强度具有相同的数量级。接下来,基于可用的短期数据,通过优化相同景观要素类的平均侵蚀值,对空间分布模型WaTEM LT(长期水和耕作侵蚀模型)进行校准。最后,该校准模型用于模拟长期地形演变,并使用基于土壤剖面截断的长期数据进行了验证。我们发现,该模型可以使用从短期侵蚀和沉积数据中获得的信息,在千年尺度上模拟景观演变。但是,重要的是要考虑到土地使用进行校准,以便在更长的时间内获得实际的模式。我们的分析表明,至少对于所考虑的研究区域,在各种时间尺度上获得的关于侵蚀和沉积速率的数据具有相同的数量级,从而表明,对当前过程速率的测量与解释长期景观高度相关。演化。 (c)2007 Elsevier B.V.保留所有权利。

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