Investigation method for regional soil erosion based on the Chinese Soil Loss Equation and high-resolution spatial data: Case study on the mountainous Yunnan Province, China

Duan, Xingwu; Bai, Zhiwei; Li, Rong; Li, Yanbo; Ding, Jianhong; Tao, Yuquan; Li, Jixiao; Li, Jiashun; Wang, Wei

doi:10.1016/j.catena.2019.104237

Cited by 62 publications

(23 citation statements)

References 69 publications

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“…This difference could result from two aspects. One aspect is that the 90 m resolution topographic data can smooth slope gradient [ 6 , 46 ], resulting in lower soil erosion rates. The other aspect is the difference in time spans between the studies in literature and the current study.…”

Section: Discussionmentioning

confidence: 99%

“…The data accuracies, especially the values of the C and P factors, greatly influence the results. Without consideration, the varied C- and P-factor values with time could result in biased estimation [ 6 ]. Furthermore, the datasets with 90 m resolution could influence estimation accuracy at plot or slope scales.…”

Section: Discussionmentioning

confidence: 99%

“…The estimated soil erosion rates were further classified into five erosion classes from low (0T), moderate (1–5T), high (5–10T), and very high (10–20T), to critical (>20T) where T represents soil loss tolerance of 1.41 Mg ha −1 yr −1 in NEC [ 6 ]. In order to verify the estimated results, some published results from runoff plots, natural slopes, and catchments were also used in the present study.…”

Section: Methodsmentioning

confidence: 99%

“…The impact of LULC change on soil erosion has been studied at multiple spatial scales, from plot [ 3 , 4 ], catchment [ 5 ], and regional [ 6 ], to global scales [ 7 ]. Borrelli et al [ 7 ] concluded an that there was an overall increase in global soil erosion induced by cropland expansion, and 35.9 Pg yr −1 of soil was eroded from the earth surface.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

Fang

Fan

2020

IJERPH

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Impact of land use and land cover change on soil erosion is still imperfectly understood, especially in northeastern China where severe soil erosion has occurred since the 1950s. It is important to identify temporal changes of soil erosion for the black soil region at different spatial scales. In the present study, potential soil erosion in northeastern China was estimated based on the Revised Universal Loss Equation by integrating satellite images, and the variability of soil erosion at different spatial scales following land use changes in 1980, 1990, 2000, 2010, and 2017 was analyzed. The regionally spatial patterns of soil loss coincided with the topography, rainfall erosivity, soil erodibility, and use patterns, and around 45% of soil loss came from arable land. Regionally, soil erosion rates increased from 1980 to 2010 and decreased from 2010 to 2017, ranging from 3.91 to 4.45 Mg ha−1 yr−1 with an average of 4.22 Mg ha−1 yr−1 in 1980–2017. Areas with a rate of soil erosion less than 1.41 Mg ha−1 yr−1 decreased from 1980 to 2010 and increased from 2010 to 2017, and the opposite changing patterns occurred in higher erosion classes. Arable land continuously increased at the expense of forest in the high-elevation and steep-slope areas from 1980 to 2010, and decreased from 2010 to 2017, resulting in increased areas with erosion rates higher than 7.05 Mg ha−1 yr−1. At a provincial scale, Liaoning Province experienced the highest soil erosion rate of 9.43 Mg ha−1 yr−1, followed by Jilin Province, the eastern Inner Mongolia Autonomous Region, and Heilongjiang Province. At a county scale, around 75% of the counties had a soil erosion rate higher than the tolerance level. The county numbers with higher erosion rate increased in 1980–2010 and decreased in 2010–2017, resulting from the sprawl and withdrawal of arable land.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

Fang

Fan

2020

IJERPH

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“…Impact of LULC change on soil erosion has been done at multiple scales, from plot [3][4], catchment [5], regional [6], and to global scales [7]. Borrelli et al [7] concluded an overall increase in global soil erosion induced by cropland expansion, and 35.9 Pg yr -1 soil was eroded away from the earth surface.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980-2017 in the Black Soil Region, (NE) China

Fang¹,

Fan²

2020

Preprint

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Impact of land use and land cover (LULC) change on soil erosion is still imperfectly understood, especially in northeastern China (NEC). Based on the Revised Universal Loss Equation (RUSLE), the variability of soil erosion at different spatial scales following land use changes in1980, 1990, 2000, 2010, and 2017 was analyzed. The regionally spatial patterns of soil loss coincided with the topography, rainfall erosivity, soil erodibility, and use patterns, and around 45% soil loss came from arable land. Regionally, soil erosion rates increased from 1980 to 2010 and decreased from 2010 to 2017, ranging from 3.91 to 4.45 t ha-1 yr-1 with an average of 4.22 t ha-1 yr-1 in 1980-2017. The rates of soil erosion less than 1.41 t ha-1 yr-1 decreased from 1980 to 2010, and increased from 2010 to 2017, and opposite changing patterns occurred in higher erosion classes (i.e., above 5 t ha-1 yr-1). At a provincial scale, Liaoning Province experienced the highest soil erosion rate of 9.43 t ha-1 yr-1, followed by Jilin Province, the east Inner Mongolia, and Heilongjing Province. Arable land continuously increased at the expense of forest in the high-elevation and steep-slope areas from 1980 to 2010, and decreased from 2010 to 2017, resulting in increased areas with erosion rates higher than 7.05 t ha-1 yr-1. At a county scale, around 75% of the countries had soil erosion rate higher than its tolerance level. The county numbers with higher erosion rate increased in 1980-2010 and decreased in 2010- 2017, resulting from the sprawl and withdrawal of arable land. The results indicate that appropriate policies can control soil loss through limiting arable land sprawl in areas of unfavorable regions in the NEC.

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Unfolding Environmental Repercussions of Land Degradation in the Lone Municipal Council of Andaman, India, Using Geospatial Technologies

Shankar

Purti

Satyakeerthy

et al. 2023

Land and Environmental Management Through Forestry

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Investigation method for regional soil erosion based on the Chinese Soil Loss Equation and high-resolution spatial data: Case study on the mountainous Yunnan Province, China

Cited by 62 publications

References 69 publications

Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980-2017 in the Black Soil Region, (NE) China

Unfolding Environmental Repercussions of Land Degradation in the Lone Municipal Council of Andaman, India, Using Geospatial Technologies

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