Soil erosion assessment by RUSLE with improved P factor and its validation: Case study on mountainous and hilly areas of Hubei Province, China

Tian, Peng; Zhu, Zhanliang; Yue, Qimeng; He, Yi; Zhang, Zhaoyi; Hao, Fang; Guo, Wenzhao; Chen, Lin; Liu, Muxing

doi:10.1016/j.iswcr.2021.04.007

Cited by 56 publications

(16 citation statements)

References 42 publications

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“…For all sub-factor practices, EU land management factors vary from 0.5251 to 0.9989 [10,11]. Improved land management factor values for farmlands with tillage measures ("P" 0.53), grasslands with engineering measures ("P" 0.23), woodlands with biological measures ("P" 0.28), and other land-use types with biological measures ("P" 0.51) were found in a study conducted in mountainous and hilly areas of Hubei province with data collected from 2000 to 2019 [12]. These are long-term investigations that do not change frequently.…”

Section: Introductionmentioning

confidence: 90%

Determination of Cover and Land Management Factors for Soil Loss Prediction in Cameron Highlands, Malaysia

et al. 2021

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Many new agricultural activities resulted in severe soil erosion across the Cameron Highlands’ land surface. Therefore, this study determines the cover (C) and land management (P) factors of the USLE for predicting soil loss risk in Cameron Highlands using a Geographic Information System (GIS). For this study, data from the Department of Agriculture Malaysia (DOAM) and the Department of Town and Country Planning Malaysia (PLANMalaysia) were used to generate several C&P factors in the Cameron Highlands. Data from both agencies have resulted in C factors with 0.01 to 1.00 and P factors with 0.30 to 0.49. Due to the cover and land management factor varies depending on the data collected by the various agencies, this study used the two data sets to come up with a C&P factor that accurately reflected both agricultural and urban growth effects. RKLS factors of USLE were obtained from the DOAM with values R (2375–2875), K (0.005), LS (2.5–25), respectively. The Cameron Highlands’ soil loss risk with these new C&P values resulted in a soil loss of 6.72 per cent (4547.22 hectares) from high to critical, with a percentage difference range of −0.77 to +3.37 under both agencies, respectively.

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Section: Introductionmentioning

confidence: 90%

Determination of Cover and Land Management Factors for Soil Loss Prediction in Cameron Highlands, Malaysia

et al. 2021

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“…Soil erosion leads to a decrease in cropland and thinning of the arable layer, which affects food security [44]. Furthermore, soil erosion causes flash floods and mudslides [45], which affect the economic and social development of mountainous areas [46].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020

Jiyun

Yong

et al. 2022

IJERPH

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Accelerated land use and land cover changes affect regional landscape patterns and change the ecological environment, including soil conservation capabilities. This is not conducive to the sustainable development of human society. In this research, we explored the land use change pattern and landscape change pattern in western Hubei from 2000 to 2020. Using the Chinese soil loss equation and stepwise regression, we measure how landscape patterns affect soil erosion under land use and cover changes in western Hubei Province. The results show that average soil erosion in the mountainous areas of western Hubei tended to increase from 2000 to 2010 and decrease from 2010 to 2020; soil erosion was higher in the western than in the eastern part of the study area. The land in areas with high-intensity and low-intensity soil erosion was mainly waterfront/grassland and cropland/forestland, respectively, and the area of moderate to severe soil erosion was greatest when the slope was 10–20°. When the slope exceeded 20°, the soil erosion area of each grade tended to decrease; thus, 20° is the critical slope for soil erosion in the study area. The landscape pattern in mountainous areas changed dramatically from 2000 to 2020. At the landscape level, landscape fragmentation increased and connectivity decreased, but the area of landscape diversity was stable. Soil erosion in western Hubei was positively correlated with the contiguity index, aggregation index and largest patch index but negatively correlated with the Shannon evenness index. The higher the landscape fragmentation and the greater the accumulation of single land-use types, the more severe the soil erosion is, while the higher the landscape connectivity and the richer the landscape diversity, the less severe the soil erosion is. The results can inform regional landscape management and soil conservation research.

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“…Currently, many studies on ecological sensitivity evaluation have been reported and were mainly focused on the following aspects: (1) ecological sensitivity evaluation of a certain region, such as Jianghan Plain, China [1], Three Gorges Reservoir Area in China [2], Denizli Province, Turkey [3], Pingtan Island (China) and Nile Delta (Egypt) [4], along the Yangtze River in China [5], etc. ; (2) Special research should be conducted on sensitive factors, such as soil erosion [6][7][8], geological disasters [9][10][11][12], cultivated land resources [13][14][15], and water resources [16][17][18]; (3) Spatial planning or spatial pattern optimization based on ecological sensitivity analysis, such as the optimization of spatial patterns of resource-based cities [19], optimization of land use spatial patterns [20], urban development boundary planning [21], landscape spatial planning [22], etc. ; (4) Ecological sensitivity evaluations of specific projects, such as power grid projects [23], airport reclamation projects [24], and hydroelectric power plant projects [25].…”

Section: Introductionmentioning

confidence: 99%

Evaluation Method and Application of Ecological Sensitivity of Intercity Railway Network Planning

2022

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In the planning stage of the intercity railway network, the ecological sensitivity evaluation of the planning scheme is not only the key content to explore the ecological environmental rationality of the planning scheme but also a scientific means to promote the sustainable development of intercity railway networks. The purpose of this study is to establish an evaluation method that can quantitatively evaluate the ecological sensitivity of intercity railway network planning to put forwards targeted optimization and adjustment suggestions for the planning scheme. Taking the intercity railway network planning of Guizhou Province as an example, its ecological sensitivity is predicted and evaluated. Six types of ecologically sensitive areas were selected as ecological sensitivity evaluation factors, including protected areas, drinking water sources, geological disaster-prone areas, soil erosion areas, cultivated land resource distribution areas and coal resource distribution areas. Based on the GIS overlay method, the quantitative measurement methods of each evaluation factor are established in turn, and the single factor sensitivity evaluation index is obtained. In addition, the weighted superposition model is used to quantitatively calculate the ecological sensitivity of the planned lines of the intercity railway network in Guizhou Province. Finally, the short board factor of each planned line is obtained, and targeted optimization and adjustment suggestions are put forwards. The research content of this paper can provide a theoretical reference for the practical evaluation of the ecological sensitivity of intercity railway network planning.

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Soil erosion assessment by RUSLE with improved P factor and its validation: Case study on mountainous and hilly areas of Hubei Province, China

Cited by 56 publications

References 42 publications

Determination of Cover and Land Management Factors for Soil Loss Prediction in Cameron Highlands, Malaysia

Determination of Cover and Land Management Factors for Soil Loss Prediction in Cameron Highlands, Malaysia

Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020

Evaluation Method and Application of Ecological Sensitivity of Intercity Railway Network Planning

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