An improved vegetation cover and management factor for RUSLE model in prediction of soil erosion

Bai, Yu; Cui, Haifeng

doi:10.1007/s11356-020-11820-x

Cited by 22 publications

(8 citation statements)

References 59 publications

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“…The nitrogen fertilizer schedule in this paper is quite different from the traditional nitrogen fertilizer schedule, because it is difficult to give the optimized nitrogen fertilizer schedule in real time every year, so the traditional research on N fertilizer schedule tends to the fixed amount of nitrogen fertilizer every year (Gao et al 2020;Quan et al 2020;Xu et al 2020), but it is bound to be unable to achieve the maximum NUE and the optimal yield in different climate. Compared with previous studies (Bai et al 2021), the average yield reached 13,630 kg/ha, higher than 13,124 kg/ha. Because climate, especially rainfall, can significantly affect the use efficiency of nitrogen fertilizer, nitrogen is easy to leach when there is more rainfall, so the amount of fertilizer should be increased at this time (Gao et al 2016;Rosolem et al 2018).…”

Section: Discussioncontrasting

confidence: 82%

“…On the other hand, the rainfall intensity will also have a certain impact on the nitrogen leaching, larger rainfall intensity will cause the splash erosion of the surface soil of cultivated land (Meisinger et al 2015;Fang 2021), and will also take away part of the nitrogen fertilizer. This situation will slow down with the increase of LAI (Bai et al 2021). However, there is no simulation module for this part in DSSAT model, which is also the focus of our next research.…”

Section: Discussionmentioning

confidence: 99%

“…The planting date is usually around May 1st, and the planting density is 62,500 plants/ha. The main model validation and calibration data is from Bai et al (2021). The irrigation method is rain-fed (RF) and full drip irrigation (FIN), and the fertilizer of 187.5 kg/ha N is applied with the irrigation water in 2014 and 2015, respectively.…”

Section: Study Areamentioning

confidence: 99%

“…On the basis of the same yield, compared with the conventional fertilization schedule, the optimal fertilization schedule reduced irrigation amount by 14.7% and nitrogen leaching loss by 80.5%. DSSAT model was also used to optimize the nitrogen fertilizer regime of maize under drip irrigation in Northeast China (Bai et al 2021).…”

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The effect of the rainfall on the nitrogen fertilizer schedule of maize in Jilin, China

Bai

Zhao

2021

Water Supply

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The traditional optimization maize nitrogen fertilizer schedule tends to be fixed, even in different meteorological year. Because different meteorological conditions will affect the use efficiency of nitrogen fertilizer, this method of fertilization will limit the yield of maize. Based on DSSAT crop model, this paper simulated the optimized nitrogen fertilizer schedule of maize in Central Jilin Province of China from 1973 to 1992 on the basis of verified DSSAT model. It was found that the optimized nitrogen fertilizer schedule in different meteorological years had significant differences, and this optimized nitrogen fertilizer schedule changed with different meteorological years could increase maize yield by 3.9% compared with the fixed optimized nitrogen fertilizer schedule. At the same time, there was a significant positive correlation between amount of nitrogen fertilizer and rainfall in the stages of sowing, VJ and VT. In these stages, the amount of nitrogen fertilizer should be increased with the increase of rainfall. After all, an optimized agrometeorological prediction method was proposed to provide a theoretical basis for the real-time optimization schedule of maize nitrogen fertilizer in the future.

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Section: Discussioncontrasting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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confidence: 99%

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The effect of the rainfall on the nitrogen fertilizer schedule of maize in Jilin, China

Bai

Zhao

2021

Water Supply

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“…There are many factors that influence the soil splash phenomenon. Generally, three groups of factors can be distinguished: a) soil properties, e.g., moisture content [24], particle size distribution [25], organic matter content [26], and characteristics of soil aggregates [27]; b) parameters of raindrops or rainfall-erosivity [28,29]; c) external factors: e.g., surface characteristics [30,31], vegetation cover [32], or soil additives [33]. Another important factor is the incline of the surface (slope) [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Influence of slope incline on the ejection of two-phase soil splashed material

et al. 2022

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Soil splash is the first step in the process of water erosion, where impacting raindrops cause the detachment and transport of soil material. One of the factors that strongly influences the magnitude of soil splash is the incline of the surface (slope). The aim of this study was to investigate the effect of the slope on the course of the splash phenomenon caused by single-drop impact (one drop impact per soil sample), with respect to the mass and proportions of the ejected material, taking into account its division into solid and liquid phases i.e. soil and water. The investigation was carried out using three types of soil with different textures, in moistened (pressure head corresponding to -1.0 kPa) and air-dry (-1500 kPa) conditions. The soil samples were on three angles of slope, being 5°, 15°, and 30°, respectively. After a single-drop impact with a diameter of 4.2 mm, the ejected material was collected using a splash cup. The following quantities of splashed material were measured: the total mass, the mass of the solid phase, and the mass of the liquid phase. Additionally, the distribution and proportions (soil/water) of the splashed material were analysed in both the upslope and downslope directions. It was found that: (i) the change of slope had a variable influence on the measured quantities for different soils; (ii) in the case of moistened samples, the measured values were mainly influenced by the texture, while in the dry samples, by the angle of the slope; (iii) with the increase of slope, the splashed material was mostly ejected in the downslope direction (irrespective of moisture conditions); (iv) in the moistened samples, the ejected material consisted mostly of water, while in the dry samples it was soil—this occurred for material ejected both upslope and downslope. The obtained results are important for improving the physical description of the process of splash erosion. A more thorough understanding and better recognition of the mechanisms governing this phenomenon at all stages could contribute to the development of more effective methods for protecting soil against erosion.

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Soil erosion estimation in a catchment with implemented soil and water conservation measures

Wang,

Ji,

Wang

et al. 2024

Earth Surf Processes Landf

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The variations in soil erosion significantly impact regional ecological security. Under rapid urbanisation, extensive ecological restoration and climate change, soil erosion development in the red soil region of southern China is ambiguous. Therefore, this study investigated the current (1980s–2020) and future (2050) erosion characteristics in a typical soil erosion control catchment (Changting section catchment) in this region by using the Cellular Automata Markov model and CMIP6 data to predict future scenarios and the Revised Universal Soil Loss Equation to estimate soil erosion. The results showed significant changes in the vegetation coverage of major land uses from 1980s to 2020, which was mainly caused by continuous soil and water conservation (SWC). The land use subtypes that were obtained by reclassifying land use based on the threshold of vegetation cover on soil erosion control, reflect a continuous transformation from those with poor SWC effectiveness to those with great SWC effectiveness. Therefore, the estimated soil erosion intensity continued to decrease from 1980s to 2020, and the contribution of land use/land cover (LULC) impacts ranged from 74%–195%. However, predictions of land use subtypes indicated that LULC may be stable after 2020; thus, soil erosion changed little when the climate was almost unchanged in 2050. Under climate change scenarios, soil erosion may increase by 111%–121%, and the contribution of precipitation impacts was 63%–66%. The major driving factor of soil erosion changes may shift from LULC to precipitation after 2020. Therefore, in the future, the potential for reducing soil erosion by vegetation restoration may be limited, and more engineering measures should be applied to address the erosion risk caused by climate changes. This study provides prospects for land use/land cover and soil erosion in the red soil region of southern China.

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An improved vegetation cover and management factor for RUSLE model in prediction of soil erosion

Cited by 22 publications

References 59 publications

The effect of the rainfall on the nitrogen fertilizer schedule of maize in Jilin, China

The effect of the rainfall on the nitrogen fertilizer schedule of maize in Jilin, China

Influence of slope incline on the ejection of two-phase soil splashed material

Soil erosion estimation in a catchment with implemented soil and water conservation measures

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