Effects of gully head height and soil texture on gully headcut erosion in the Loess Plateau of China

Wang, Rui; Yu, Kunxia; Han, Jianchun; Zhu, Yingmei; Su, Yirong

doi:10.1016/j.catena.2021.105674

Cited by 30 publications

(6 citation statements)

References 42 publications

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“…Gully heads in the loess region exhibited greater fragmentation than those in the Pisha sandstone area. Indoor experiments revealed that sandy soils showed higher soil loss compared to silty soils [73]. Therefore, we could infer that the sandy-soil-dominated Pisha sandstone region was less prone to multidirectional competition at gully heads due to its high erodibility.…”

Section: Discussionmentioning

confidence: 95%

Erosion Gully Networks Extraction Based on InSAR Refined Digital Elevation Model and Relative Elevation Algorithm—A Case Study in Huangfuchuan Basin, Northern Loess Plateau, China

Lu,

Zhang,

Wang

et al. 2024

Remote Sensing

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The time-effective mapping of erosion gullies is crucial for monitoring and early detection of developing erosional progression. However, current methods face challenges in obtaining large-scale erosion gully networks rapidly due to limitations in data availability and computational complexity. This study developed a rapid method for extracting erosion gully networks by integrating interferometric synthetic aperture radar (InSAR) and the relative elevation algorithm (REA) within the Huangfuchuan Basin, a case basin in the northern Loess Plateau, China. Validation in the study area demonstrated that the proposed method achieved an F1 score of 81.94%, representing a 9.77% improvement over that of the reference ASTER GDEM. The method successfully detected small reliefs of erosion gullies using the InSAR-refined DEM. The accuracy of extraction varied depending on the characteristics of the gullies in different locations. The F1 score showed a positive correlation with gully depth (R2 = 0.62), while the fragmented gully heads presented a higher potential of being missed due to the resolution effect. The extraction results provided insights into the erosion gully networks in the case study area. A total of approximately 28,000 gullies were identified, exhibiting pinnate and trellis patterns. Most of the gullies had notable intersecting angles exceeding 60°. The basin’s average depth was 64 m, with the deepest gully being 140 m deep. Surface fragmentation indicated moderate erosive activity, with the southeastern loess region showing more severe erosion than the Pisha sandstone-dominated central and northwestern regions. The method described in this study offers a rapid approach to map gullies, streamlining the workflow of erosion gully extraction and enabling efficiently targeted interventions for erosion control efforts. Its practical applicability and potential to leverage open-source data make it accessible for broader application in similar regions facing erosion challenges.

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Section: Discussionmentioning

confidence: 95%

Erosion Gully Networks Extraction Based on InSAR Refined Digital Elevation Model and Relative Elevation Algorithm—A Case Study in Huangfuchuan Basin, Northern Loess Plateau, China

Lu,

Zhang,

Wang

et al. 2024

Remote Sensing

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“…The study is subject to several limitations. Scouring experiments were undertaken based on the released runoff flow, while precipitation was not involved mainly based on an assumption that runoff flow was the dominant erosion agent on the study area (Lei et al, 2001; Wang et al, 2021). However, the missing of precipitation events actually means that some processes (e.g., rainfall‐runoff processes, splash erosion) were not taken into account.…”

Section: Discussionmentioning

confidence: 99%

Monitoring soil erosion on field slopes by terrestrial laser scanning and structure‐from‐motion

Ren

et al. 2023

Land Degrad Dev

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Terrestrial laser scanning (TLS) and structure‐from‐motion (SfM) photogrammetry are prevalent erosion monitoring techniques. However, their relative performance for field erosion monitoring remained unclear. In the study, five souring experiments were implemented on each of the three plots, consisting of hillslope and gully area, established on field slopes. The input flow for three hillslopes was 25, 55, and 85 L min−1 respectively while that for the gully area was 10 L min−1. TLS and SfM were used to monitor erosion processes, while their performance was assessed using manual measurements. Results showed that TLS and SfM produced generally sound and comparable soil loss estimates, with relative errors (REm) for the cumulative and consecutive sediment yield derived by the two techniques being −24.10% to +84.50% and −29.60% to +73.10% respectively. TLS estimated sediment yield more accurately than SfM for more intensively eroded areas, while the estimation accuracy of TLS was lower than SfM for less intensively eroded areas. On gully slopes, the two techniques broadly captured the spatial pattern of erosion and deposition, with inconsistency/errors emerging on areas with small topographic changes or caves; TLS generally produced more accurate rill length than SfM, with the REm for TLS being −2.18% to −0.16% and the REm for SfM being −7.09% to −1.49% respectively. TLS‐ and SfM‐derived rill networks were broadly consistent (Kappa coefficient was 0.42–0.79) and different in details. The SfM‐ and TLS‐derived level of detection was generally at the same order of magnitude. However, their spatial pattern on hillslopes was rather different, which informed a different erosion monitoring capacity of TLS and SfM on field hillslopes and needs further study. Overall, SfM provides a cost‐effective and powerful alternative to TLS for field erosion monitoring and a combined use of them may produce more satisfactory results.

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“…Previous studies found that exogenous nitrogen increased the denitrification rate or denitrification bacteria in both soil and river environmental conditions [36][37][38]. Because gullies are the channels of sediment, runoff and nutrient, the exogenous nitrogen from farmland presumably simulated the denitrification functional bacteria in gullies [39], thus further decreasing soil N storage potential and increasing the N leaching or emission.…”

Section: Soil Microbial Community In Gullies After Nvrmentioning

confidence: 96%

Microbial Community and Their Potential Functions after Natural Vegetation Restoration in Gullies of Farmland in Mollisols of Northeast China

Xiao

Zhang

Yan

et al. 2022

Land

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Although huge numbers of gullies have been widely formed and have severely decreased the quality of farmlands in mollisols, it is still unclear how the microbial community distributes after natural vegetation restoration (NVR), which highly relates to the ecological functions in the farmland. In this study, both the microbial community and their potential ecological functions after NVR were reviewed, together with the environmental factors relating to microbial evolution which were detected in two gullies of mollisols situated on farmland in Northeast China. The main results showed that NVR improved the microbial diversity and complexity of the co-occurrence network in gullies, and promoted bacterial community composition to be similar between the gully and deposition area. Moreover, the soil organic matter (SOM) regulated the microbial diversity by balancing soil available phosphorus (AP), soil moisture (SM), and pH, thus stimulating the key bacterial biomarkers of gullies (Rhizobiales, Microtrichales, TRA3-20) and regulating the bacterial composition, as well as indirectly enriching the function of bacteria to perform denitrification, C fixation, and phosphorus transport in gullies. In addition, abundant Dicotyledons in gullies mainly regulate the fungal community composition, and increased fungal richness in 0–20 cm soil depth, but decreased bacteria richness in 0–20 cm soil depth. Our findings revealed the repair mechanism of NVR on soil bacterial and fungal communities, especially on bacterial functionality, which should be given further attention in nutrient cycling across eroding mollisols in gullies.

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Effects of gully head height and soil texture on gully headcut erosion in the Loess Plateau of China

Cited by 30 publications

References 42 publications

Erosion Gully Networks Extraction Based on InSAR Refined Digital Elevation Model and Relative Elevation Algorithm—A Case Study in Huangfuchuan Basin, Northern Loess Plateau, China

Erosion Gully Networks Extraction Based on InSAR Refined Digital Elevation Model and Relative Elevation Algorithm—A Case Study in Huangfuchuan Basin, Northern Loess Plateau, China

Monitoring soil erosion on field slopes by terrestrial laser scanning and structure‐from‐motion

Microbial Community and Their Potential Functions after Natural Vegetation Restoration in Gullies of Farmland in Mollisols of Northeast China

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