Spatiotemporal variations and driving factors of the potential wind erosion rate in the Hexi region, PR China

Lin, Junqi; Guan, Qingyu; Pan, Ninghui; Zhao, Rui; Yang, Libin; Xu, Cailing

doi:10.1002/ldr.3702

Cited by 22 publications

(15 citation statements)

References 67 publications

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“…The shrubs desert zone (LS2) and the herbal desert zone (LS3) are the highest at both depths regarding the sand fraction and the lowest at both depths regarding the clay and silt fraction; this may be because, in reality, the low vegetation coverage of LS2 and LS3 (about <6%) and the relatively low level of evaporation lead to the formation of loose surface sediments, with a small amount of salt accumulating near to the surface (Figure 8). Wind erosion is more serious in the clay and silt fraction, which is prone to erosion, which causes corresponding content reduction and leads sediment surfaces to become much rougher over a long period of wind erosion [60].…”

Section: Discussion On the Grain Size Characteristics Of Sediments Found In Typical Landscapes And Its Implicationsmentioning

confidence: 99%

Grain Size Characteristics of Sediments Found in Typical Landscapes in the Playa of Ebinur Lake, Arid Central Asia

Abuduwaili

2021

Land

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A playa usually refers to a salt desert landscape mainly composed of loose and fine lacustrine sediments. Severe wind erosion on a playa causes the playa to become a source of dust and salt dust and poses a threat to vast areas downwind. Currently, little is known about the impact of wind erosion on the particle size distribution of sediments in different landscapes in the playa. In the present study, six dominant different landscapes in a natural state with the same sedimentary environment in the playa of Ebinur Lake were selected to provide insights into the different characteristics of particle size distribution under the effect of long-term wind erosion. The results reveal that the grain-size composition clearly differed among different landscapes. All samples had a common dominant size group consisting of very fine sand and sand. The very fine sand and sand content of Haloxylon ammodendron desert zone (LS5) was the lowest, while the clay and silt content was the highest at both depths among the six landscapes. The lowest clay and silt fraction and highest sand fraction appeared in the herbal desert zone (LS3) at both depths. Almost all of the sediment samples were of a bimodal distribution mode, with significant differences. The cumulative curve showed a similar S-shape, while the probability cumulative curve showed an inverted S-shape with three subpopulations of granularity characteristics. The smallest mean particle diameter appeared in LS5. The majority of the sediments were moderately to poorly sorted. The mean particle size of the sediments from the six landscapes was significantly different (p < 0.05), while no significant difference was observed among the other three parameters. Generally, it can be inferred that LS5 can reduce wind speed effectively, probably due to the smaller leaves and dense branches of Haloxylon ammodendron, which results in a high level of coverage. The results of the present study will have some implications for the grain size characteristics for changes in intensity in regional wind erosion environment and will also have some basis for wind erosion prevention and control in the playa of Ebinur Lake.

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Section: Discussion On the Grain Size Characteristics Of Sediments Found In Typical Landscapes And Its Implicationsmentioning

confidence: 99%

Grain Size Characteristics of Sediments Found in Typical Landscapes in the Playa of Ebinur Lake, Arid Central Asia

Abuduwaili

2021

Land

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“…Published wind erosion data have also been used to verify wind erosion models (e.g., Wang et al, 2020;Zhou et al, 2020). Nevertheless, many studies have directly assessed regional wind erosion, but no calibration or verification of the wind erosion models were conducted (e.g., Feng and Sharratt, 2005;Guo et al, 2013;Borrelli et al, 2017;Fenta et al, 2020;Lin et al, 2020). Our study indicates that the type of wind data has a significant influence on the potential wind erosion estimation obtained using the RWEQ and IWEMS.…”

Section: Limitations and Future Perspectivesmentioning

confidence: 80%

“…The influences of historical climate changes on wind erosion have been extensively studied. The variations in the historical wind speed, precipitation, and temperature have generally been summarized as the main factors affecting temporal wind erosion trends (e.g., Haiyan Zhang et al, 2018;Edwards et al, 2019;Lin et al, 2020). Recently, the effects of future climate change scenarios on wind erosion have also been explored.…”

Section: Implications For the Impacts Of Climate Change On Wind Erosionmentioning

confidence: 99%

“…The inputs of a wind erosion model include soil properties (e.g., soil texture and moisture), meteorological factors (e.g., wind speed and precipitation), ground surface characteristics (e.g., roughness and vegetation cover), and anthropogenic activities (e.g., land management) (Wang et al, 2018;Fattahi et al, 2020;Zhang et al, 2020;Liu et al, 2021). Wind data (speed, direction, and turbulence) are generally considered to be the most sensitive parameters in wind erosion modeling (Lin et al, 2020;Webb et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Effect of the Type of Wind Data on Regional Potential Wind Erosion Estimation

Zhang

Guo

et al. 2022

Front. Environ. Sci.

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The Agro-Pastoral Ecotone of Northern China (APEC) is a transitional area suffering from severe wind erosion. The wind data used in wind erosion modeling generally have different temporal resolutions and spatial station distributions. Previous studies have suggested that the temporal wind speed resolution influences the prediction of wind erosion events at the field scale. To date, no studies have been conducted to assess the impact of the type of wind data on regional wind erosion estimation. In this study, the Revised Wind Erosion Equation (RWEQ) and the Integrated Wind Erosion Modeling System (IWEMS) were used to evaluate the regional potential wind erosion in the Agro-Pastoral Ecotone of Northern China (APEC) during 2000 and 2012 based on four wind data type scenarios, including basic weather stations with daily wind statistics, basic weather stations with four wind speed measurements per day, reference climatological stations with daily wind statistics, and reference climatological stations with four wind speed measurements per day. The principal results reveal that the potential wind erosion estimates evaluated using the two models are closely correlated with the measured wind erosion data reported in the published literature, but the predicted values are generally lower than the observed values for the different scenarios. The magnitudes of the mean potential wind erosion ranged from 15.73 to 27.33 t ha−1 a−1 by RWEQ and changed between 61.77 and 98.54 t ha−1 a−1 by IWEMS for different scenarios. The spatial distribution and temporal trends of the annual or seasonal potential wind erosion obtained using the two models were similar for the different scenarios. This study revealed that wind speed is the most sensitive input, and hourly wind speed generated by the different temporal interpolation can significantly affect regional wind erosion estimation. Some studies involving precise regional wind erosion estimation, such as the impacts of landscape changes (land use/cover) on wind erosion, ecosystem service evaluation of reducing soil erosion, soil carbon sequestration and emissions through wind erosion, and wind erosion induced surface soil nutrient loss (e.g., nitrogen and phosphorus), may have been influenced by conducting regional wind erosion modeling based on different types of wind data. The users need to calibrate and validate the selected models for precise wind erosion prediction.

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“…It is a function of vegetation ecosystems whereby sand is restrained and fixed in the process of wind erosion (Cui, Wang, Zhang, Tang, & Dai, 2020; W. Wang, Li, & Ren, 2017; J. Xu, Xiao, Xie, Wang & Jiang, 2018). In recent years, researchers have been deepening their understanding of the SFS and have done a lot of work in terms of evaluating the SFS and its driving mechanism (Lin et al, 2021; Mendez & Buschiazzo, 2010; Pi & Sharratt, 2017; H. Zhang et al, 2018; Zhou, Zhang, Zou, Zhang, & Zhang, 2020). In most studies, the revised wind erosion equation is used to calculate soil wind erosion in the absence of vegetation and the real conditions, and the sand fixation amount and retention rate are used as quantitative indexes to evaluate the SFS (Borrelli et al, 2017; Garbrecht, Nearing, Steiner, Zhang, & Nichols, 2015; Sharratt, Tatarko, Abatzoglou, Fox, & Huggins, 2015; H. Wang, Sun, Yu, Xin, & Jia, 2020; B. Xie, Jia, Qin, Jian, & Chang, 2015).…”

Section: Introductionmentioning

confidence: 99%

Identifying the flow paths and beneficiary ranges of the sand fixation service: A case‐study in Xilingol League, China

Zang

2022

Land Degrad Dev

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The sand fixation service (SFS) is a function of vegetation ecosystems whereby sand is restrained and stabilized. It not only generates ecological benefits for local areas but also affects circulation media such as wind and has an impact on surrounding areas. Therefore, it is urgent to study the flow process and influence of the SFS, so as to provide a theoretical basis for cross‐regional ecological compensation. We chose Xilingol League (shorten as "Xilingol") as the study area and used the hybrid single‐particle Lagrangian integrated trajectory (HYSPLIT) model to comprehensively identify the spatial flow paths (FPs) and beneficiary ranges (BRs) of the SFS from 2000 to 2018. The results showed that there were 726 FPs of the SFS, which were mainly distributed in spring, accounting for 63.50% of the total FPs. The total area of the BRs was 279.50 × 104 km2, accounting for 29.15% of China's land area. The high‐frequency BRs were mainly distributed in the southeast of Inner Mongolia, northern Hebei, northern Liaoning, northern Beijing, and northwestern Jilin. In terms of BRs, farmland was the largest (92.09 × 104 km2) land cover type, accounting for 34.51% of the total area of the BRs, and the total beneficiary population and gross domestic product accounting for 44.53% and 50.06% of whole China in 2015. Identification of FPs and BRs of SFS in this study could provide a reference to make ecology compensation policy at national level.

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Spatiotemporal variations and driving factors of the potential wind erosion rate in the Hexi region, PR China

Cited by 22 publications

References 67 publications

Grain Size Characteristics of Sediments Found in Typical Landscapes in the Playa of Ebinur Lake, Arid Central Asia

Grain Size Characteristics of Sediments Found in Typical Landscapes in the Playa of Ebinur Lake, Arid Central Asia

Effect of the Type of Wind Data on Regional Potential Wind Erosion Estimation

Identifying the flow paths and beneficiary ranges of the sand fixation service: A case‐study in Xilingol League, China

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