Soil loss: Effect of plant litter incorporation rate under simulated rainfall conditions

Wang, Lunjiang; Zhang, Guanghui; Wang, Xue; Zhu, Pingzong

doi:10.1002/ldr.3304

Cited by 19 publications

(11 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result of this study showed that both litter covering and incorporation can reduce soil loss. This result is consistent with many previous studies (Li et al, ; Pannkuk & Robichaud, ; Smets et al, ; Sun, Zhang, Liu, & Luan, ; Sun, Zhang, Luan, & Liu, ; Wang, Zhang, Wang, & Zhu, ). Furthermore, the effect of litter covering was significantly greater than that of litter incorporation, which is consistent with the conclusion of Panachuki, Bertol, Alves Sobrinho, Oliveira, and Rodrigues ().…”

Section: Discussionsupporting

confidence: 94%

“…Rill erodibilities reduced by 24, 34, and 35% for soils incorporated with litters of locust, buckthorn, and green bristle. A recent study conducted by Wang, Zhang, Wang, and Zhu () demonstrated that soil loss decreased with litter incorporated rate. Compared to the control, the mean and the maximum reductions in soil loss were 11 and 41% for five different litter incorporated rates ranged from 0.05 to 0.50 kg/m 2 .…”

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

Comparison of the effects of litter covering and incorporation on infiltration and soil erosion under simulated rainfall

Wang

Zhang

Zhu

et al. 2020

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

Plant litter can either cover on soil surface or be incorporated into top‐soil layer in natural ecosystems. Their effects on infiltration and soil erosion are likely quite different. This study was performed to compare the effects of litter covering on soil surface and being incorporated into top‐soil layer on infiltration and soil erosion under simulated rainfall. Four litter types (needle‐leaf, broad‐leaf, brush, and herb) were collected from fields and applied to cover on soil surface or to be incorporated into top‐soil layer (5 cm) at the same rate (0.2 kg/m2). The simulated rainfalls (40 and 80 mm/hr) were run at two slope angles (10° and 20°). The results showed that the mean infiltration rate of litter covering treatment was 1.4 times as great as that of litter incorporated. Litter covering enhanced infiltration via protecting surface from soil sealing. Whereas, litter incorporation affected infiltration by its water repellency. Soil erosion of litter incorporated treatment was 5.4 times as large as that of litter covered treatment, which was attributed to the changes in surface litter coverage and soil erosion resistance. Litter type affected soil erosion through the variations in litter coverage and litter morphology. For litter covering treatment, litter coverage can explain the major variance of soil loss on the slopes. Whereas, for litter incorporated treatment, both the influences of litter coverage and litter length on soil erosion resistance were considered necessary to well explain the variance of soil loss. The results also showed that the benefits of litter to control soil erosion declined with rainfall intensity and slope gradient for both covering and incorporated treatments. The results of this study are helpful to understand the mechanisms of litter influencing hydrological and erosion processes on hillslopes.

show abstract

Section: Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 96%

Comparison of the effects of litter covering and incorporation on infiltration and soil erosion under simulated rainfall

Wang

Zhang

Zhu

et al. 2020

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

show abstract

“…Straw incorporation can significantly affect the flow regime of rainfall‐runoff on slopes (Table 1). The results of this study showed that Re and Fr decrease with an increase in SR, which is consistent with the effect of straw mulching (Omidvar et al 2019), but varies from plant litter incorporation (Wang, Zhang, Wang & Zhu, 2019). In a study on straw and rock fragment cover, Omidvar et al (2019) found that the rainfall‐runoff was laminar and subcritical at an SG of 8.5° and RI of 90 mm hr −1 .…”

Section: Discussionsupporting

confidence: 88%

The hydrodynamic mechanism of rainfall runoff from loess slopes treated with incorporated straw

et al. 2021

View full text Add to dashboard Cite

The hydrodynamic parameters of rainfall runoff are important for those studying hillslope water flow, which in turn affects soil erosion, chemical pollutant migration, and diffusion. Straw incorporation into the cultivated soil layer may affect soil properties, resulting in different hydrodynamic behaviours of hillslope runoff. The objective of this study was to evaluate the influences of straw incorporation, rainfall intensity, and slope gradient on hydraulic parameters, such as the Reynolds number (Re), Froude number (Fr), Darcy‐Weisbach friction factor (f), and hydrodynamic dispersion coefficient (DH). Laboratory experiments were conducted under four straw incorporation rates (SRs: 0, 2, 4, and 8 t ha−1), three rainfall intensities (RIs: 80, 120, and 160 mm hr−1), and three slope gradients (SGs: 10, 15, and 20°) to examine the hydrodynamic characteristics. The results show that the increase in SR significantly reduces the DH. Compared with bare soil slope (0.020 m2 s−1), the mean DH decreased by half (0.011 m2 s−1) at an SR of 2 t ha−1 and approximately three‐quarters (0.005 m2 s−1) at an SR of 8 t ha−1. Both Re and Fr decreased with a rise in the SR; however, the slope roughness increased, which caused a significant increase in frictional force compared to results observed for the bare soil. A rise in RI and SG increased the driving force on the farmland slope. The Re and Fr decreased with RI and SR, while f increased with RI and SG. Therefore, this study elucidates that the incorporation of straw in the soil can alter the hydrodynamic parameters, thus influencing water flow velocity and soil erosion.

show abstract

“…Several approaches for conserving soil have been developed and implemented (Prager, Hagemann, Schuler, & Heyn, 2011; Prazan & Dumbrovsky, 2011; Wang, Zhang, Wang, & Zhu, 2019). Check dams, as one means for water conservancy, positively influence soil and water conservation in gully areas and improve environmental conditions in a relatively short period (Bombino, Tamburino, & Zimbone, 2006; Xu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

Xiong

et al. 2021

Land Degrad Dev

View full text Add to dashboard Cite

Soil loss is a global environmental problem that can intensively damage surrounding ecosystems. To control soil loss and secure agricultural activities, check dams are constructed for soil conservation. However, due to ineffective management, many check dams are abandoned and are highly prone to be damaged due to rainstorms. Such a phenomenon would cause more serious damage to surrounding environments than that associated with common soil loss. The similar basic signatures of check dam areas and their surroundings can blur the boundaries of these structures in images and negatively affect boundary identification, thereby limiting the effectiveness of traditional check dam area extraction techniques based on the pixel level or visual inspection. To facilitate the extraction of check dams, we propose a method that integrates deep learning and object‐based image analysis. We select the Loess Plateau, on which several effective check dam systems have been constructed in recent years to address intense soil loss, as the study area on which to perform high‐resolution imagery experiments to determine the influences of different sample combinations. The parameters influencing the segmentation algorithm are also examined to determine the best parameter combination for the extraction of check dams. Four test areas comprising 12 check dams across different environments were selected with which to test the accuracy of the proposed method. In addition, we compared the check dam extraction capabilities of our proposed method with those of the random forest and deep learning approaches. The results show that the proposed method can achieve a classification accuracy and kappa coefficient that signify good performance in detecting the boundaries and areas of check dams. The proposed method generally outperforms the random forest and deep learning techniques. The extraction results can support the efficient soil management and guide future studies on gully erosion.

show abstract

Soil loss: Effect of plant litter incorporation rate under simulated rainfall conditions

Cited by 19 publications

References 61 publications

Comparison of the effects of litter covering and incorporation on infiltration and soil erosion under simulated rainfall

Comparison of the effects of litter covering and incorporation on infiltration and soil erosion under simulated rainfall

The hydrodynamic mechanism of rainfall runoff from loess slopes treated with incorporated straw

Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

Contact Info

Product

Resources

About