Impact of vegetation on erosion: Insights from the calibration and test of a landscape evolution model in alpine badland catchments

Impact of vegetation on erosion: Insights from the calibration and test of a landscape evolution model in alpine badland catchments
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植被对侵蚀的影响:高山荒地流域景观演化模型校准和测试的见解

DOI:
10.1002/esp.4741
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发表时间:
2020
影响因子:
3.3
通讯作者:
Naaim, Mohamed
Naaim, Mohamed
中科院分区:
地球科学2区
文献类型:
--
作者:
Carriere, Alexandra;Le Bouteiller, Caroline;Tucker, Gregory E.;Klotz, Sebastien;Naaim, Mohamed

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虽然人们普遍认识到,植被可以影响侵蚀,产沙量,并在较长的时间尺度上,地貌演变,这种相互作用的性质和如何模拟它并不明显,可能取决于研究地点。为了发展定量洞察的规模和性质的植被对流域侵蚀的影响,我们建立了一个景观演变模型来模拟侵蚀在荒地,然后校准和评估它对两个集水区的产沙数据与对比植被覆盖。该模型耦合了坡面重力输运和河流冲积物输运。结果表明,坡面输运过程强烈依赖于植被覆盖,而流输运过程似乎不受植被的存在。模型的预测性能被发现是更高的裸露集水区比造林。此外,我们发现,植被作用于侵蚀主要是通过减少土壤可蚀性,而不是通过减少地表径流。最后,我们提出的方法可以是一个有用的工具,以评估以前的植被恢复操作的效率,并为未来的恢复工作提供指导。© 2019约翰威利父子有限公司
While it is well recognized that vegetation can affect erosion, sediment yield and, over longer timescales, landform evolution, the nature of this interaction and how it should be modeled is not obvious and may depend on the study site. In order to develop quantitative insight into the magnitude and nature of the influence of vegetation on catchment erosion, we build a landscape evolution model to simulate erosion in badlands, then calibrate and evaluate it against sediment yield data for two catchments with contrasting vegetation cover. The model couples hillslope gravitational transport and stream alluvium transport. Results indicate that hillslope transport processes depend strongly on the vegetation cover, whereas stream transport processes do not seem to be affected by the presence of vegetation. The model performance in prediction is found to be higher for the denuded catchment than for the reforested one. Moreover, we find that vegetation acts on erosion mostly by reducing soil erodibility rather than by reducing surface runoff. Finally, the methodology we propose can be a useful tool to evaluate the efficiency of previous revegetation operations and to provide guidance for future restoration work. © 2019 John Wiley & Sons, Ltd.
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