4.7 Article

Soil erosion dynamics response to landscape pattern

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 408, 期 6, 页码 1358-1366

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2009.10.062

关键词

Soil erosion modeling; Landscape pattern; SWAT; Yellow River; Tempo-spatial dynamics

资金

  1. National Natural Science Foundation of China [40930740, 40911280]
  2. International Institute for Geo-Information Science and Earth Observation (ITC) [2009KFJJ009]

向作者/读者索取更多资源

Simulating soil erosion variation with a temporal land use database reveals long-term fluctuations in landscape patterns, as well as priority needs for soil erosion conservation. The application of a multi-year land use database in support of a Soil Water Assessment Tool (SWAT) led to an accurate assessment, from 1977 to 2006, of erosion in the upper watershed of the Yellow River. At same time, the impacts of land use and landscape service features on soil erosion load were assessed. A series of supervised land use classifications of Landsat images characterized variations in land use and landscape patterns over three decades. The SWAT database was constructed with soil properties, climate and elevation data. Using water flow and sand density data as parameters, regional soil erosion load was simulated. A numerical statistical model was used to relate soil erosion to land use and landscape. The results indicated that decadal decrease of grassland areas did not pose a significant threat to soil erosion, while the continual increase of bare land, water area and farmland increased soil erosion. Regional landscape variation also had a strong relationship with erosion. Patch level landscape analyses demonstrated that larger water area led to more soil erosion. The patch correlation indicated that contagious grassland patches reduced soil erosion yield. The increased grassland patches led to more patch edges, in turn increasing the sediment transportation from the patch edges. The findings increase understanding of the temporal variation in soil erosion processes, which is the basis for preventing local pollution. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.

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