Effects of Mulch Cover Rate on Interrill Erosion Processes and the Size Selectivity of Eroded Sediment on Steep Slopes

Shi, Zhihua; Yue, B. J.; Wang, L.; Fang, Nianqiao; Wang, D.; Wu, Faqi

doi:10.2136/sssaj2012.0273

Cited by 147 publications

(80 citation statements)

References 50 publications

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“…Gholami et al (2013) studied straw mulching effect on sediment yield from eroded plots and showed that the straw mulch had a significant effect in changing soil erosion characteristics at a confidence level of 99 %. Shi et al (2013) verified the positive effects of mulch cover on reduction of soil loss. Fernandez and Vega (2014) investigated the effects of straw mulch on erosion control after wildfire and showed that the straw mulch could decrease soil erosion.…”

Section: Introductionmentioning

confidence: 61%

“…The result comparison showed that the straw mulch was effective in reducing runoff toward two other amendments (Smets et al, 2008;Shi et al, 2013). This amendment could be more effective at rainfall intensity of 30 mm h −1 .…”

Section: Runoffmentioning

confidence: 95%

“…All amendments were spread on the soil surface 5 days before each experiment. For each plot, the rice straw mulch used with the surface cover, thickness and dry weight of about 90 % (Adekalu et al, 2007;Kukal and Sarkar, 2010;Shi et al, 2013), 8 cm and 0.5 kg m −2 , respectively. The manure with a cover of about 90 % and dry weight of 0.3 kg m −2 (Ramos et al, 2006) was spread by hand (Ramos et al 2006 andGarcia et al 2008) at each plot.…”

Section: Rice Straw Mulch Manure and Ta-200 Polyacrylamide Treatmentsmentioning

confidence: 99%

“…Smets et al (2008) agreed that the straw mulch had an effective role on soil loss control. The better effect of straw mulch was due to greater coverage (Gholami et al, 2013;Shi et al, 2013;Fernandez and Vega, 2014), physical role of straw pieces as a resistant barriers against detachment (Mannering and Meyer, 1963;Poesen and Lavee, 1991), reducing runoff amount and speed and also increasing infiltration (Jordan et al, 2010).…”

Section: Sediment Concentration and Soil Lossmentioning

confidence: 99%

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Reducing sediment concentration and soil loss using organic and inorganic amendments at plot scale

et al. 2015

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Abstract. Various organic and inorganic mulches are used for soil conservation purposes, the effectiveness of which on soil characteristics has not been comprehensively considered from different aspects. The present study surveys the efficiency of straw mulch, manure and TA-200 polyacrylamide with respective rates of 500, 300 and 50 g m −2 in changing sediment concentration and soil loss. The experiments were conducted for sandy-loam soil taken from a summer rangeland, the Alborz Mountains, northern Iran. The experiments were performed under laboratory conditions with simulated rainfall intensities of 30, 50, 70 and 90 mm h −1 and a slope of 30 %. The results showed that the straw mulch decreased soil erosion at rate of 45.60 % compared to the control plots and performed better than manure (8.98 % reduction) and PAM (4.74 % reduction). The results showed that the maximum reduction in sediment concentration and soil loss for all soil amendments occurred at the rainfall intensity of 90 mm h −1 with the rates of 58.69 and 63.24 % for straw mulch, 14.65 and 13.14 % for manure and 20.15 and 23.44 % for TA-200.

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Section: Introductionmentioning

confidence: 61%

Section: Runoffmentioning

confidence: 95%

Section: Rice Straw Mulch Manure and Ta-200 Polyacrylamide Treatmentsmentioning

confidence: 99%

Section: Sediment Concentration and Soil Lossmentioning

confidence: 99%

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Reducing sediment concentration and soil loss using organic and inorganic amendments at plot scale

et al. 2015

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“…However, soil surface properties can also influence the process of selectivity. The influence of a range of soil surface properties including texture, organic matter content, vegetative cover and slope gradient on both particle size distribution and organic matter composition of eroded material have been investigated (Quinton et al 2001;Defersha and Melesse 2012;Shi et al 2013;Chartier et al 2013). Information on the selectivity of interrill erosion processes is needed as input for watershed management tools including sediment budgets and the assessment of geomorphic connectivity, as fine-grained and organic-rich particles can have different patterns of erosion, transport and deposition .…”

Section: Introductionmentioning

confidence: 99%

It's sedimentary, my dear Watson : implications of watershed processes on the sediment fingerprinting approach

Koiter¹

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The sediment source fingerprinting approach is based on the assumption that the potential sources of sediment within a watershed can be linked to in-stream sediment by using the inherent physical or biogeochemical characteristics of the sediment (i.e., sediment properties) as fingerprints. At present, one of the main limitations of the sediment source fingerprinting approach is the ability to link sediment back to their sources due to the nonconservative nature of many sediment properties. Ideally, sediment properties do not change as the sediment (i.e., transported unconsolidated soil or rock particles) move through a watershed allowing for a direct comparison between sources and sediment. However, sediment collected downslope or downstream from its source is often found to have a finer grain-size distribution and a higher organic matter content as compared to the source material as the smaller and less dense particles are preferentially mobilized and transported.Accounting for changes in both particle size distribution and organic matter content are important as many fingerprint concentrations are correlated with both properties, but it is unclear as to what is the best approach to account for these changes. In an effort to provide a more reliable and robust link between sources and sediment, a series of experimental and observational studies were conducted to investigate the factors that control particle size and organic matter selectivity and their subsequent effect on a broad suite of geochemical fingerprints. These studies investigated particle selectivity at the landscape scale, represented by a sequence of hillslope, riparian and fluvial environments. Processes within each of these three environments were found to preferentially mobilize and transport fine-grained and organic-rich particles. Many commonly used particle size and organic matter correction ii factors assume that the relation between both particle size and fingerprint concentrations are similar for all fingerprints. However, this research has demonstrated that these relations are fingerprint specific in terms of the magnitude, direction and linearity which suggests that the use of correction factors needs to be given careful consideration. In addition, a watershedscale application of the sediment fingerprinting approach found that the scale of observation and the geomorphic connectivity of the watershed influenced the apportionment results.Overall, this research can be used to guide sampling design and protocols, fingerprint selection, data correction factors and the interpretation of apportionment results.iii

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Use of partial least squares regression to identify factors controlling rice yield in Southern China

Duan

Xie

et al. 2020

Agronomy Journal

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Identification of the dominant factors controlling rice (Oryza sativa L.) yield is of paramount importance to improve fertilizer use efficiency, effectively promote rice productivity, and help ensure food security. The objective of this study was to quantify the influence of geographic attributes, soil properties, climatic, and fertilizer types on annual rice yield and to identify the dominant control factors in southern China. In total, 2010 soil samples were collected in the selected areas and were analyzed for 34 factors that potentially influenced rice yield. Because these factors exhibit multicollinearity, partial least squares regression (PLSR) was used to elucidate the linkages between rice yield and the 34 measured variables. The first‐order factors were identified by calculating the variable importance for the projection (VIP). The variables with high VIP values are the most relevant for explaining the dependent variables. Results indicated that the geographic attributes, climatic and fertilizer types exerted substantial influence on rice yield and explained 57 to 85% of the variation in rice yield. According to the VIP values, the following are the dominant first‐order factors controlling rice yield: longitude, latitude, organic potassium fertilizer, accumulated temperature ≥ 10°C, chemical potassium fertilizer, organic nitrogen fertilizer, straw incorporation, chemical nitrogen fertilizer, accumulated temperature ≥ 0°C, and organic phosphate fertilizer. These results indicate that the PLSR approach is beneficial as it partially eliminates the correlation of the variables and reduces bias regarding the contribution of the factors to rice yield. This approach could be applied to other climatic zones or cropping systems.

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Effects of Mulch Cover Rate on Interrill Erosion Processes and the Size Selectivity of Eroded Sediment on Steep Slopes

Cited by 147 publications

References 50 publications

Reducing sediment concentration and soil loss using organic and inorganic amendments at plot scale

Reducing sediment concentration and soil loss using organic and inorganic amendments at plot scale

It's sedimentary, my dear Watson : implications of watershed processes on the sediment fingerprinting approach

Use of partial least squares regression to identify factors controlling rice yield in Southern China

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