Title of article :
Methods to describe and predict soil erosion in mountain regions
Author/Authors :
Christine Alewell، نويسنده , , Katrin Meusburger، نويسنده , , Monika Brodbeck، نويسنده , , Dominik B?nninger، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
8
From page :
46
To page :
53
Abstract :
Suitable methods to describe and predict soil degradation in mountain areas with low accessibility, steep topography and extreme climate are urgently needed for suitable planning processes in Alpine regions under global change regime. Aerial photograph mapping has been proven to be a valuable tool in surveying landslide development over time. However, landslides < 10 m2 as well as sheet erosion have been difficult to detect. Thus, the beginning of potentially heavy soil degradation cannot be tracked with aerial photographs. As an early warning system for soil degradation, we analyzed gradients of stable isotopes of carbon and nitrogen from upland (erosion source) to wetland soils (erosion sink). Oxic upland soils and anoxic wetlands differ in their isotopic signature, due to differing isotopic fingerprints of aerobic and anaerobic metabolism in soils. Gradients of δ15N and δ13C in soils reflected erosion of material. However, if soils were fertilized with manure, the δ15N profiles were obscured. To quantify soil erosion, we noted that existing soil erosion models are generally unsuitable for mountain regions. As a first step, we developed a new modelling concept with a special algorithm for spatial discretization with irregular grids. The latter ensures three-dimensional water flow routing that is controlled by topography and not by the underlying algorithm. Regarding quantification of soil erosion an improvement and validation of existing modelling approaches or development of new models is urgently needed.
Keywords :
Soil degradationModellingRemote sensingStable isotopesThe Alps
Journal title :
Landscape and Urban Planning
Serial Year :
2008
Journal title :
Landscape and Urban Planning
Record number :
747733
Link To Document :
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