Vegetation cover and topography rather than human disturbance control gully density and sediment production on the Chinese Loess Plateau

Zhao, Jenny; Vanmaercke, Matthias; Chen, Longqian; Govers, Gérard

doi:10.1016/j.geomorph.2016.09.022

Cited by 64 publications

(53 citation statements)

References 66 publications

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“…Gully erosion is a globally significant land degradation process that has detrimental environmental, ecological and economic impacts across a range of landscape systems [1][2][3][4][5][6][7]. Effective management of gully erosion requires high-resolution topographic information that can be used to accurately quantify the spatial distribution and density of gully systems, gully morphology and morphologic change, and the catchment characteristics that influence gully evolution [2,[8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment

Koci

Jarihani

Leon

et al. 2017

IJGI

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Abstract:Structure from Motion with Multi-View Stereo photogrammetry (SfM-MVS) is increasingly used in geoscience investigations, but has not been thoroughly tested in gullied savanna systems. The aim of this study was to test the accuracy of topographic models derived from aerial (via Unmanned Aerial Vehicle, 'UAV') and ground-based (via handheld digital camera, 'ground') SfM-MVS in modelling hillslope gully systems in a dry-tropical savanna, and to assess the strengths and limitations of the approach at a hillslope scale and an individual gully scale. UAV surveys covered three separate hillslope gully systems (with areas of 0.412-0.715 km 2 ), while ground surveys assessed individual gullies within the broader systems (with areas of 350-750 m 2 ). SfM-MVS topographic models, including Digital Surface Models (DSM) and dense point clouds, were compared against RTK-GPS point data and a pre-existing airborne LiDAR Digital Elevation Model (DEM). Results indicate that UAV SfM-MVS can deliver topographic models with a resolution and accuracy suitable to define gully systems at a hillslope scale (e.g., approximately 0.1 m resolution with 0.4-1.2 m elevation error), while ground-based SfM-MVS is more capable of quantifying gully morphology (e.g., approximately 0.01 m resolution with 0.04-0.1 m elevation error). Despite difficulties in reconstructing vegetated surfaces, uncertainty as to optimal survey and processing designs, and high computational demands, this study has demonstrated great potential for SfM-MVS to be used as a cost-effective tool to aid in the mapping, modelling and management of hillslope gully systems at different scales, in savanna landscapes and elsewhere.

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Section: Introductionmentioning

confidence: 99%

Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment

Koci

Jarihani

Leon

et al. 2017

IJGI

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“…In general, the findings of our correlation analyses correspond well with those of other studies, illustrating the great control of land use and topography on gully initiation and gully densities, while climatic and soil conditions appear of lesser importance (e.g. Torri and Poesen, ; Zhao et al ., ). While weather and climate conditions can have a clear impact on gully expansion and gully retreat (e.g.…”

Section: Resultsmentioning

confidence: 97%

“…Likewise, other recent studies have found no significant correlation between gully density and climatic factors (e.g. Zhao et al ., ).…”

Section: Introductionmentioning

confidence: 97%

Mapping and spatial‐temporal assessment of gully density in the Middle Volga region, Russia

Golosov

Yermolaev

Рысин

et al. 2018

Earth Surf Processes Landf

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A large‐scale mapping of gully density was carried out for the Middle Volga region of the Russian Plain (188 000 km2) based on the interpretation of aerial photographs (scale 1:17 000; surveys undertaken during 1956–1970). In addition, spatial‐temporal dynamic of gully density were assessed for some parts of the study area (the Udmurt Republic and the Mesha and Ulema River basins of Tatarstan), based on the interpretation of aerial photographs (survey 1986–1991) and high resolution satellite images (2012–2015). Information on factors potentially controlling gully formation and development were collected and a geographic information system (GIS) analysis was conducted. Results show the strong development of gullies in the study area over the 1956–1970 period with an average gully density of 0.21 km km−2. For the Udmurt region, we found that gully densities varied little in the period 1956–1986, during which the total active gully length reduced with only 2%. This period was characterized by low variable climatic conditions and a stable fraction of arable land with a relatively continuous crop rotation system. However, gully dynamics seems to have changed more strongly during recent decades. We found a strong (order of magnitude) reduction in active gully density for the period 2010–2015 as compared to 1986–1991. The main reason for this is likely the increasing winter air temperatures. This leads to a significant reduction in surface runoff during spring as a result of snowmelt. Nonetheless, in some regions (i.e. the Udmurt Republic in the taiga zone), the abandonment of arable land after 1991 likely plays a significant role. Likewise, a decline in the frequency of extreme rainfall events (> 50 mm) may have played a role. All of these factors contribute to a reduction of surface runoff to the gullies and their subsequent stabilization. © 2018 John Wiley & Sons, Ltd.

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“…() and/or; (3) based on statistical analysis of gully density and general gully dimensions from a statistical sampling of homogeneous soil–landscape regions as used in the Sednet Model (Prosser et al, ) or similar work by Zhao et al . () in the Chinese Loess Plateau. The first method, employed in this study, is excellent for analysis of specific gully attributes and detailed evaluation of gully morphology but is too tedious to address the overall impact of gullied terrain in national watershed scale assessments.…”

Section: Introductionmentioning

confidence: 99%

“…The final method confirms the present gully density over large regions such as Zhao et al . () over the Chinese Loess Plateau, or Prosser et al . () over Australia.…”

Section: Introductionmentioning

confidence: 99%

Application of a simple headcut advance model for gullies

Allen

Arnold

Auguste

et al. 2017

Earth Surf Processes Landf

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Gully erosion begins in streambanks and uplands as a consequence of adjustments in driving forces on the landscape imposed by changes in land use or climate. The deleterious effects of gullies worldwide have led to many site-specific studies of gully form and function. In the continental United States, gully erosion in agricultural land has destroyed valuable farmland yet, prediction of gully processes remains problematic on a national scale. This research has proposed a simple method to predict gully headcut advance. When combined with SWAT hydrologic flow routines, the model predicted gully headcut advance with reasonable accuracy on a daily time step for time periods exceeding two decades. The model was tested in two distinct land resource areas of the United States with differing climate, soils, cover and drainage. The inputs for the headcut model have been kept simple as the model will be applied over large areas. Model inputs consist of headcut height, headcut resistance (based on soil erodibility and a rootcover factor), and daily flow. The model is compared with an annual time step model used in assessment of headcut advance and appears to offer a better way to assess gully headcut advance.

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Vegetation cover and topography rather than human disturbance control gully density and sediment production on the Chinese Loess Plateau

Cited by 64 publications

References 66 publications

Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment

Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment

Mapping and spatial‐temporal assessment of gully density in the Middle Volga region, Russia

Application of a simple headcut advance model for gullies

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