2015
DOI: 10.1016/j.catena.2014.10.016
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An assessment of erosivity distribution and its influence on the effectiveness of land use conversion for reducing soil erosion in Jiangxi, China

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Cited by 53 publications
(32 citation statements)
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References 50 publications
(48 reference statements)
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“…(13)) is widely used to determine the soil erodibility factor (Sun et al, 2014;Xiao et al, 2015). The physical properties of the soil (such as texture, thickness and organic matter content) were acquired from China's second soil survey data.…”
Section: Soil Erodibility Factor (K)mentioning
confidence: 99%
“…(13)) is widely used to determine the soil erodibility factor (Sun et al, 2014;Xiao et al, 2015). The physical properties of the soil (such as texture, thickness and organic matter content) were acquired from China's second soil survey data.…”
Section: Soil Erodibility Factor (K)mentioning
confidence: 99%
“…The topography in the Poyang Lake basin varies from highly mountainous and hilly areas (with a maximum elevation of 2200 m above sea level) to alluvial plains in the lower reaches of the primary watercourses. The soils in the basin are mainly composed of red soil [59], which has a low infiltration rate of precipitation and is degraded and erosion-prone [60]. Thus, it is quite necessary to extend the previous studies at the local scale to provide a better understanding of variations in rainfall erosivity.…”
Section: Introductionmentioning
confidence: 99%
“…We used rainfall erosivity to represent the ability of rainfall to cause soil erosion by considering the rainfall amount and intensity [32]. Based on the annual spatial data products of rainfall erosivity (1980-2014) developed by Xiao et al [33] using the daily precipitation dataset provided by the China Meteorological Data Sharing Service System (http://cdc.nmic.cn/home.do), we investigated the annual rainfall erosivity trends in the five watersheds (Ganjiang, Xiushui, Fuhe, Xinjiang and Raohe) during the 34 year period. As shown in Table 1, three time periods (1992-1994, 2004-2006, and 2011-2013) with similar mean annual rainfall erosivities (MAEs) were selected.…”
Section: Study Area Descriptionmentioning
confidence: 99%