Spatial variation of gully development in the loess plateau of China based on the morphological perspective

Li, Chenrui; Li, Fayuan; Dai, Ziyang; Xue, Yan; Cui, Xujia; Luo, Lanhua

doi:10.1007/s12145-020-00491-4

Cited by 23 publications

(8 citation statements)

References 43 publications

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“…In the inclined elongated ridge area in Guyuan of Ningxia and Pingliang of Gansu, the SND is less than 0.43, the gully development is not obvious, and these areas are a large area of plains. The trend of SND is gradually transitional, and it coincides with previous studies on loess gully erosion landform classification (Zhou, 2011;Liu, 2017;Zhang, 2013;Li et al, 2020), indicating that the spatial pattern of SND in the loess gully area shows good consistency with the distribution of loess landform division.…”

Section: Spatial Distribution Trend Of Snd In the Lpgesupporting

confidence: 88%

“…The basis for geostatistical analysis is Tobler's first law of geography, which states that the closer the distance is, the more similar the sample will be. Numerous interpolation methods exist for spatial interpolation through geostatistical analysis (Li et al, 2020). The Kriging interpolation method can reflect various terrain changes.…”

Section: Geostatistical Interpolation Analysismentioning

confidence: 99%

“…Soil erosion is affected by various factors, including rainfall, land use, and variations in the catchment surface, such as terrain, topography, and soil type (Clark, 2000;Ochoa et al, 2016;Wang et al, 2016;Rajbanshi and Bhattacharyaa, 2020;Wang et al, 2020). The vast expanse of continuous and widely spread loess on the Loess Plateau, the geomorphology of thousands of gullies, and the serious soil erosion have attracted the attention of domestic and foreign scholars (Li et al, 2020). Geomorphology is the manifestation of internal process, and it is the main basis for the research of its formation causes (Liu, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution and influencing factors of Surface Nibble Degree index in the severe gully erosion region of China’s Loess Plateau

Zhou

Yang

et al. 2021

J. Geogr. Sci.

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In China's Loess Plateau severe gully erosion (LPGE) region, the shoulder-line is the most intuitive and unique manifestation of the loess landform, which divides a landform into positive and negative terrains (PNTs). The spatial combination model of PNTs is of great significance for revealing the evolution of the loess landform. This study modeled and proposed the Surface Nibble Degree (SND), which is a new index that reflects the comparison of the areas of PNTs. Based on 5 m DEMs and matched high-resolution remote sensing images, the PNTs of 164 complete watersheds in the LPGE were extracted accurately, and the SND index was calculated. The spatial distribution trend of SND was discussed, and the relationship between SND and the factors that affect the evolution mechanism of regional landform was explored further. Results show that: (1) The SND can be calculated formally. It can quantify the development of the loess landform well. (2) The SND of the LPGE has evident spatial differentiation that increases from southwest to northeast. High values appear in Shenmu of Shaanxi, Shilou of Shanxi, and northern Yanhe River, whereas the low values are mainly distributed in the southern loess tableland and the inclined elongated ridge area of Pingliang in Gansu and Guyuan in Ningxia. (3) In the Wuding River and Yanhe River, the SND decreases with the increase in flow length (FL). In the North-Luohe River and Jinghe River, the SND increases with FL. (4) SND is significantly correlated with gully density and sediment modulus and moderately correlated with hypsometric integral. As for the mechanism factors analysis, the relationship between loess thickness and SND is not obvious, but SND increased first and then decreased with the increase of precipitation and vegetation in each geographical division, and we found that the land use type of low coverage grassland has greater erosion potential.

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Section: Spatial Distribution Trend Of Snd In the Lpgesupporting

confidence: 88%

Section: Geostatistical Interpolation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial distribution and influencing factors of Surface Nibble Degree index in the severe gully erosion region of China’s Loess Plateau

Zhou

Yang

et al. 2021

J. Geogr. Sci.

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“…A potential concern is the determination of the flow accumulation threshold, which may introduce uncertainties into the extracted gullies (Zhu et al, 2018; Li et al, 2020). Therefore, we adopted a method named averaging variable points to determine a suitable flow accumulation threshold (Wang and Chen 2021; Lai et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau

Lin

Chen

Qianqian

et al. 2022

Progress in Physical Geography: Earth and Environment

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The Loess Plateau is the largest gully geomorphic region in the world, characterized by the most intense soil erosion in a typical loess-covered area. Previous studies have focused on the terrain and texture of this region; however, there have been no systematic studies on the gully spatial structure of the Loess Plateau. Therefore, the present study investigated the characteristics and spatial distribution of landform spatial structure over the Loess Plateau. Specifically, gully weighted complex networks (GWCNs) were applied to simulate the gully spatial structure of loess landforms, and a series of quantitative indices were introduced to delineate these. Using 57 geomorphological units uniformly distributed across the Loess Plateau as test areas and six typical loess landforms as sample areas, GWCNs were constructed, and using these GWCNs, the spatial structure and internal mechanisms of typical loess landforms were explored. From a series of fresh insights, such as the regional scale-free distribution, homologous structure, tightness, community effect, connectivity, stability, and complexity, regular variations in quantitative indices delineate the spatial distribution of the characteristics of landform spatial structure over the plateau. Moreover, the spatial distribution of complex network indices exhibited strong spatial coupling with loess landforms. Overall, GWCNs could be effectively used for landform recognition and performed well. In conclusion, these experimental results suggest that introducing complex networks into landform studies can offer novel insights into landform quantitative analyses. The present work is of great significance, as it proposes a new methodology for describing the spatial structure and terrain features of landforms in quantitative analyses and furthers our understanding of landform genesis.

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“…These terrain parameters present significant differences in different landform zones, which are also applied to explore landform development. On the other hand, loess gullies, as channels of material and energy transportation during loess processes, are the most dynamic, changeable and characteristic units in loess landforms and have become an important focus in loess landform research [27][28][29]. The development of loess gullies directly affects or even determines the regional differences of loess landforms, which indicates that the gully development can broadly reflect the loess landform development.…”

Section: Introductionmentioning

confidence: 99%

An Exploration of Loess Landform Development Based on Population Ecology Method

Yang

2022

IJGI

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The study of gully characteristics is one of the most effective ways to explore the loess landform development in the Loess Plateau of China. However, current studies mostly focus on gullies’ overall characteristics and ignore the different composition of the whole gully system. Therefore, a new perspective is provided in this paper for exploring loess landform development from the population characteristics of the gully system. Firstly, different types of gullies were extracted based on DEM and high-resolution images in three sample watersheds, including hillslope ephemeral gully, bank gully and different-level valley gully. Secondly, population characteristics from the amount, length, age structure and convergent relationship were calculated and analyzed by referring to the biological population in ecology. Finally, the development stages of loess landform in three watersheds were explored based on their population characteristics. The results showed that: (1) The population characteristics, including number density, length density, age structure and convergence, were obviously different in three sample watersheds. (2) The development differences of three watersheds were obtained by synthesizing all population characteristics: Linjiajian was the most developed and oldest watershed, followed by Yangjiaju and then Wangjiagou. (3) The comparison based on the existing soil erosion intensity map and predisposing factors proved that the findings of this paper were more reasonable than that of the traditional hypsometric integral. This research provides a new quantitative-based approach to explore the development degree of loess landform from the gully population, and is a beneficial attempt to combine geomorphology and ecology, further supplementing and improving the study of loess landform development.

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Spatial variation of gully development in the loess plateau of China based on the morphological perspective

Cited by 23 publications

References 43 publications

Spatial distribution and influencing factors of Surface Nibble Degree index in the severe gully erosion region of China’s Loess Plateau

Spatial distribution and influencing factors of Surface Nibble Degree index in the severe gully erosion region of China’s Loess Plateau

Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau

An Exploration of Loess Landform Development Based on Population Ecology Method

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