Journal of Geographical Sciences

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Spatial scaling effects of gully erosion in response to driving factors in southern China

LIU Zheng, WEI Yujie, CUI Tingting, LU Hao, CAI Chongfa

地理学报(英文版), 2024, 34(5): 942-962. DOI: 10.1007/s11442-024-2234-y

Figure 4 Analysis of the importance of variables using the Boruta algorithm (N, total nitrogen; P, total phosphorus; K, total kalium; SOM, soil organic matter; TWI, topographic wetness index; HI, hypsometric integral; NDVI, normalized difference vegetation index; FVC, fraction vegetation coverage; EVI, enhanced vegetation index; GDP, gross domestic product; LULC, land use and land cover; DEM, elevation)

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Figure 1 Typical gully landforms in southern China
Figure 2 Location of the study area (a. southern China; b. Jiangxi province; c. Ganxian county; d. Tiancun township)
Table 1 Detailed characteristics of the study area in southern China
Figure 3 Flowchart of methodology in this study
Table 2 Conditioning factors of gully erosion
Table 3 Factor elimination using multicollinearity analysis and Boruta algorithm
Figure 5 ROC curves of gully susceptibility maps by MLR, LMT, and RF models in different spatial scales (a-c. southern China; d-f. Jiangxi province; g-i. Ganxian county; j-l. Tiancun township)
Figure 6 Comparison of model accuracy in terms of scale and data input
Figure 7 Gully erosion susceptibility maps using the random forest (RF) model (a. southern China; b. Jiangxi province; c. Ganxian county; d. Tiancun township)

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