An assessment of erosivity distribution and its influence on the effectiveness of land use conversion for reducing soil erosion in Jiangxi, China

Abstract Rainfall and land use conversion are important factors influencing soil erosion. Differing from the stationary land use type, land use conversion is a process of dynamic change usually spanning several decades. Soil erosion modeling using historic land use data offers an opportunity to study the impacts of actual land use conversion on soil erosion. However, rainfall has been taken into account only in a few studies because its spatio-temporal distribution often varies greatly over a long period of time. In this article, the erosivity index was used to quantify the erosive force of rainfall. Based on entropy theory, erosivity distribution of study area during the 1988 to 2013 period was analyzed. Two extreme zones, Zone I and Zone II, with highest and lowest annual erosivity, respectively, were identified. The intensity of soil erosion among land use types are: farmland > orchard > grass/open forest > shrub > forest. Zone I has severer soil erosion than Zone II. The effectiveness of land use conversion for reducing soil erosion varies between different erosivity zones. Farmland–forest conversion is considered as the first choice to reduce soil erosion when land use conversion is implemented. The conversions of farmland–grassland and farmland–open forest can be used as important supplements to conversion of farmland–forest in low erosivity zone of the study area, although they do not perform well under higher erosivity situation.

[1]  Mark Rounsevell,et al.  The response of soil erosion and sediment export to land-use change in four areas of Europe: The importance of landscape pattern , 2008 .

[2]  C. Mannaerts,et al.  Rainfall erosivity mapping for Santiago Island, Cape Verde , 2014 .

[3]  Shang-hong Zhang,et al.  How land use change contributes to reducing soil erosion in the Jialing River Basin, China , 2014 .

[4]  Y. Shao,et al.  Local similarity relationships in a horizontally inhomogeneous boundary layer , 1990 .

[5]  V. Prasannakumar,et al.  Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation （RUSLE） and geo-information technology , 2012 .

[6]  B. Liu,et al.  Effects of precipitation and landuse on runoff during the past 50 years in a typical watershed in Loess Plateau, China , 2009 .

[7]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[8]  Cai Chong,et al.  Study of Applying USLE and Geographical Information System IDRISI to Predict Soil Erosion in Small Watershed , 2000 .

[9]  W. Yao,et al.  Effects of landforms on the erosion rate in a small watershed by the (137)Cs tracing method. , 2010, Journal of environmental radioactivity.

[10]  YU Xiu-bo.  Evaluating soil erosion in Jiangxi Province with USLE model and remote sensing technology during 1995～2005 , 2011 .

[11]  Costas Kosmas,et al.  The effect of land use change on soils and vegetation over various lithological formations on Lesvos (Greece) , 2000 .

[12]  I. Marzolff,et al.  Soil erosion in gully catchments affected by land-levelling measures in the Souss Basin, Morocco, analysed by rainfall simulation and UAV remote sensing data , 2014 .

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

[14]  Martin Volk,et al.  Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity , 2009 .

[15]  Tsehaie Woldai,et al.  Historical land use changes and their impact on sediment fluxes in the Balaton basin (Hungary) , 2005 .

[16]  Xie Yun.  Study on Standard of Erosive Rainfall , 2000 .

[17]  L. M. Risse,et al.  Slope Gradient Effects on Soil Loss for Steep Slopes , 1994 .

[18]  A. Ramachandra Rao,et al.  Regionalization of watersheds by fuzzy cluster analysis , 2006 .

[19]  Jaroslav Hofierka,et al.  The consequences of land-cover changes on soil erosion distribution in Slovakia , 2008 .

[20]  B. Fu,et al.  The effect of land uses and rainfall regimes on runoff and soil erosion in the semi-arid loess hilly area, China , 2007 .

[21]  C. R. R. Pleguezuelo,et al.  Soil-erosion and runoff prevention by plant covers in a mountainous area (se spain): Implications for sustainable agriculture , 2006 .

[22]  Jon Olley,et al.  Measured hillslope erosion rates in the wet-dry tropics of Cape York, northern Australia: Part 2, RUSLE-based modeling significantly over-predicts hillslope sediment production , 2014 .

[23]  Zhang Wen,et al.  Rainfall Erosivity Estimation Using Daily Rainfall Amounts , 2002 .

[24]  Ramadhar Singh,et al.  Hydrological studies for small watershed in India using the ANSWERS model , 2006 .

[25]  Michael A. Fullen,et al.  Effects of grass ley set-aside on runoff, erosion and organic matter levels in sandy soils in East Shropshire, UK , 1998 .

[26]  Loredana Antronico,et al.  Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: An application model for Calabria (southern Italy) , 2009 .

[27]  R. B. Corey,et al.  Phosphorus variations in surface runoff from agricultural lands as a function of land use. , 1980 .

[28]  Lei Deng,et al.  Effects of the grain-for-green program on soil erosion in China , 2012 .

[29]  M. Woo,et al.  VEGETATION EFFECTS ON SOIL AND WATER LOSSES ON WEATHERED GRANITIC HILLSLOPES, SOUTH CHINA , 1990 .

[30]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[31]  J. H. Rieger.  Voronoi Diagrams of Real Algebraic Sets , 2003 .

[32]  A. Dijk,et al.  Rainfall intensity kinetic energy relationships: a critical literature appraisal , 2002 .

[33]  B. Fu,et al.  Modeling soil erosion and its response to land-use change in hilly catchments of the Chinese Loess Plateau. , 2010 .

[34]  F. Nieuwstadt.  The Turbulent Structure of the Stable, Nocturnal Boundary Layer , 1984 .

[35]  Donald H. Burn,et al.  An entropy approach to data collection network design , 1994 .

[36]  S. D. Angima,et al.  Soil erosion prediction using RUSLE for central Kenyan highland conditions , 2003 .

[37]  W. Cao,et al.  Effects of landuse change on surface runoff and sediment yield at different watershed scales on the Loess Plateau. , 2010 .

[38]  F. Hao,et al.  Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River. , 2010, The Science of the total environment.

[39]  V. Singh,et al.  THE USE OF ENTROPY IN HYDROLOGY AND WATER RESOURCES , 1997 .

[40]  C. Giourga,et al.  Land abandonment and slope gradient as key factors of soil erosion in Mediterranean terraced lands , 2007 .

[41]  T. G. Gebremicael,et al.  Trend analysis of runoff and sediment fluxes in the Upper Blue Nile basin: A combined analysis of statistical tests, physically-based models and landuse maps , 2013 .

[42]  R. Mosandl,et al.  Soil erosion and surface runoff on different vegetation covers and slope gradients: A field experiment in Southern Shaanxi Province, China , 2013 .

[43]  Bin Zhang,et al.  Effect of vegetation restoration on soil and water erosion and nutrient losses of a severely eroded clayey Plinthudult in southeastern China , 2004 .

[44]  L. H. Cammeraat,et al.  The effect of land use on runoff and soil erosion rates under Mediterranean conditions , 1997 .

[45]  G. Naser,et al.  Impacts of land uses on runoff and soil erosion A case study in Hilkot watershed Pakistan , 2011 .

[46]  Carlos Lacasta,et al.  Effects of different management practices on soil conservation and soil water in a rainfed olive orchard , 2005 .

[47]  D. Robinson,et al.  Soil Erosion and Conservation , 1988 .

[48]  H. Tian,et al.  Spatial and temporal patterns of China's cropland during 1990¿2000: An analysis based on Landsat TM data , 2005 .

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

[50]  Y. Lian,et al.  Entropy-based assessment and zoning of rainfall distribution , 2013 .

[51]  C. Kosmas,et al.  The effect of land use change on soils and vegetation over various lithological formations on , 2000 .

[52]  G. R. Foster,et al.  RUSLE: Revised universal soil loss equation , 1991 .

[53]  C. K. Mutchler,et al.  Revised Slope Length Factor for the Universal Soil Loss Equation , 1989 .

[54]  L. Tang,et al.  Quantifying soil erosion with GIS-based RUSLE under different forest management options in Jianchang Forest Farm , 2006 .

[55]  Xuegong Xu,et al.  Risk assessment of soil erosion in different rainfall scenarios by RUSLE model coupled with Information Diffusion Model: A case study of Bohai Rim, China , 2013 .

[56]  Claudio O. Stöckle,et al.  Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD , 2003 .

[57]  J. Hofierka,et al.  Soil erosion assessment of Slovakia at a regional scale using GIS , 2002 .

[58]  P. I. A. Kinnell,et al.  Raindrop‐impact‐induced erosion processes and prediction: a review , 2005 .

[59]  Axel Bronstert,et al.  Modelling the effects of land-use change on runoff and sediment yield for a meso-scale catchment in the Southern Pyrenees , 2009 .

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

[61]  F. Hao,et al.  Soil erosion dynamics response to landscape pattern. , 2010, The Science of the total environment.