Global potential soil erosion with reference to land use and climate changes

A GIS-based RUSLE model is employed to study the global soil erosion potential for viewing the present situation, analysing changes over the past century, and projecting future trends with reference to global changes in land use and climate. Scenarios considered in the study include historical, present and future conditions of cropland and climate. This research gives the first overview of the global situation of soil erosion potential considering the previous century as well as the present and future. Present soil erosion potential is estimated to be about 0·38 mm year−1 for the globe, with Southeast Asia found to be the most seriously affected region in the world. It is estimated that nearly 60% of present soil erosions are induced by human activity. With development of cropland in the last century, soil erosion potential is estimated to have increased by about 17%. Global warming might significantly increase the potential for soil erosion, and the regions with the same increasing trend of precipitation and population might face much more serious problems related to soil erosion in the future. Copyright © 2003 John Wiley & Sons, Ltd.

[1]  Andrew A. Millward,et al.  Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed , 1999 .

[2]  P. Jones,et al.  Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate , 2000 .

[3]  Taikan Oki,et al.  Expanding distributed hydrological modelling to the continental scale , 2001 .

[4]  D. Pimentel,et al.  Environmental and Economic Costs of Soil Erosion and Conservation Benefits , 1995, Science.

[5]  Chang’an Li,et al.  Human impact on floods and flood disasters on the Yangtze River , 2001 .

[6]  A. Guerra,et al.  The implications of general circulation model estimates of rainfall for future erosion: a case study from Brazil , 1999 .

[7]  Rattan Lal,et al.  Soil Erosion in the Tropics: Principles and Management , 1990 .

[8]  Andrew N. Sharpley,et al.  EPIC, Erosion/Productivity Impact Calculator , 1990 .

[9]  L. R. Oldeman,et al.  Global Assessment of Human-Induced Soil Degradation , 1999 .

[10]  Soil Erosion Analysis and Modelling: A Review , 2000 .

[11]  S. Emori,et al.  Coupled Ocean-Atmosphere Model Experiments of Future Climate Change with an Explicit Representation , 1999 .

[12]  C. Justice,et al.  A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite Data , 1996 .

[13]  R. Lal,et al.  The potential of world cropland soils to sequester C and mitigate the greenhouse effect , 1999 .

[14]  John R. Williams,et al.  EPIC-erosion/productivity impact calculator: 1. Model documentation. , 1990 .

[15]  A. Strahler,et al.  Characteristics of composited AVHRR data and problems in their classification , 1994 .

[16]  J. Houghton,et al.  Climate change 1995: the science of climate change. , 1996 .

[17]  Rik Leemans,et al.  Land use and cover change (LUCC). Open science meeting. , 1997 .

[18]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[19]  Kenneth G. Renard,et al.  Using monthly precipitation data to estimate the R-factor in the revised USLE , 1994 .

[20]  G. Watts,et al.  Climate Change 1995 , 1998 .

[21]  B. Warkentin,et al.  Soils in an environmental context: an American perspective , 1996 .

[22]  Günther Fischer.  IGBP/HDP science plan for land-use and cover change (LUCC) , 1995 .

[23]  N. Ramankutty,et al.  Characterizing patterns of global land use: An analysis of global croplands data , 1998 .

[24]  G. R. Foster,et al.  Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) , 1997 .

[25]  Katumi Musiake,et al.  Spatial resolution sensitivity of catchment geomorphologic properties and the effect on hydrological simulation , 2001 .

[26]  N. Ramankutty,et al.  Estimating historical changes in global land cover: Croplands from 1700 to 1992 , 1999 .

[27]  S. Kanae,et al.  Application of RUSLE Model on Global Soil Erosion Estimate , 2001 .

[28]  Dino Torri,et al.  Predictability and uncertainty of the soil erodibility factor using a global dataset , 1997 .

[29]  P. Julien,et al.  Estimation of upland erosion using GIS , 1998 .

[30]  A. Skowronek,et al.  Future rainfall erosivity derived from large-scale climate models — methods and scenarios for a humid region , 1999 .

[31]  P. Jones,et al.  Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology , 1999 .