陕西省耕地土壤可蚀性因子

[目的]土壤可蚀性因子是计算土壤侵蚀的一个重要因子,对陕西省耕地土壤可蚀性因子展开研究,可为陕西地区的耕地土壤侵蚀计算及评价提供科学依据。[方法]以陕西省9个地区的耕地土壤实测数据为基础,利用通用土壤流失方程USLE(universal soil loss equation)、修订土壤流失方程RUSLE2(revised universal soil loss equation version 2)、侵蚀生产力影响模型EPIC(erosion productivity impact calculator)中可蚀性因子K值的计算公式以及几何平均粒径公式和几何平均粒径—有机质Dg-OM公式,计算不同耕地土壤质地条件下的土壤可蚀性因子。[结果]RUSLE2的极细砂粒转换公式在陕西黄土丘陵沟壑区平均低约14.53%,在陕南地区平均高约32.91%,使用修正公式后平均误差分别为7.81%和13.14%;对比分析K值的估算值与实测值,子洲县实测K值为0.002 69〔(t·hm2·h)/(hm2·MJ·mm)〕,Dg-OM模拟计算均值为0.0297〔(t·hm2·h)/(hm2·MJ·mm)〕;水蚀预报模型WEPP(water erosion prediction project)中的细沟间可蚀性(Ki)和细沟可蚀性(Kr),与USLE的K值相关系数分别为0.738 6和0.607 4。[结论]极细砂粒转换修正公式的计算误差小于RUSLE2模型;Dg-OM模型适合陕西黄土丘陵沟壑区及长武县、杨凌区和安康市典型耕地土壤;WEPP中Ki和Kr,当土壤砂粒含量小于30%,USLE的K值与WEPP的Ki和Kr值有强相关性。     

Erodibility of soils of the upper rainforest zone,southeastern Nigeria

The susceptibility of some soils in the high rainfall zone of Nigeria to soil erosion must be measured regularly for better soil management. A number of techniques have been adopted for the determination of this soil loss parameter. The aim of this study is to determine the soil characteristics that relate significantly to erodibility. Soil samples collected from 0–20 cm depth from 10 different locations in the upper rainforest area were analysed for particle size distribution, water‐stable aggregates, exchangeable cations, organic carbon, soil dispersion and aggregating indices. The soils are mainly Acrisols, Nitosols, Gleysols and Ferralsol in the FAO classification while their textures are sands to sandy‐clay‐loam. They are very unstable in water as reflected in the higher values of WSA >0·50 mm and the mean‐weight diameter that ranged from 0·50 to 2·03 mm. The dispersion ratio for the soils are between 0·26 and 0·69 while clay dispersion ratio also ranged from 0·24 to 0·80. Revised universal soil loss equation (RUSLE) erodibility model values (K) were from 0·03 to 0·06 Mg h MJ⁻¹ mm⁻¹. These parameters can be effectively used in predicting soil erodibility, though their predictability varied in ranking of soil erodibility. In spite of this variability these indices can be used for potential erosion hazard determination by agricultural extension staff to avoid crop failures and other negative influence of soil erosion. The soil parameters are easy to determine and will be a valuable instrument when faster approaches to erosion control measures are required. Copyright © 2003 John Wiley & Sons, Ltd.     

Mapping soil erosion risk in Rondônia,Brazilian Amazonia: using RUSLE,remote sensing and GIS

This article discusses research in which the authors applied the Revised Universal Soil Loss Equation (RUSLE), remote sensing, and geographical information system (GIS) to the maping of soil erosion risk in Brazilian Amazonia. Soil map and soil survey data were used to develop the soil erodibility factor (K), and a digital elevation model image was used to generate the topographic factor (LS). The cover‐management factor (C) was developed based on vegetation, shade, and soil fraction images derived from spectral mixture analysis of a Landsat Enhanced Thematic Mapper Plus image. Assuming the same climatic conditions and no support practice in the study area, the rainfall–runoff erosivity (R) and the support practice (P) factors were not used. The majority of the study area has K values of less than 0·2, LS values of less than 2·5, and C values of less than 0·25. A soil erosion risk map with five classes (very low, low, medium, medium‐high, and high) was produced based on the simplified RUSLE within the GIS environment, and was linked to land use and land cover (LULC) image to explore relationships between soil erosion risk and LULC distribution. The results indicate that most successional and mature forests are in very low and low erosion risk areas, while agroforestry and pasture are usually associated with medium to high risk areas. This research implies that remote sensing and GIS provide promising tools for evaluating and mapping soil erosion risk in Amazonia. Copyright © 2004 John Wiley & Sons, Ltd.     

Erodibility in relation to water‐dispersible clay for some soils of eastern Nigeria

Water dispersible clay (WDC) can influence soil erosion by water. Therefore, in highly erodible soils such as the ones in eastern Nigeria, there is a need to monitor the clay dispersion characteristics to direct and modify soil conservation strategies. Twenty‐five soil samples (0–20 cm in depth) varying in texture, chemical properties and mineralogy were collected from various locations in central eastern Nigeria. The objective was to determine the WDC of the soils and relate this to selected soil physical and chemical attributes. The soils were analysed for their total clay (TC), water‐dispersible clay (WDC), clay dispersion ratio (CDR), dispersion ratio (DR), dithionite extractable iron (Fed), soil organic matter (SOM), exchangeable cations, exhangeable sodium percentage (ESP) and sodium adsorption ratio (SAR). Total clay contents of the soil varied from 80–560 g kg⁻¹. The USLE erodibility K ranges from 0·02 to 0·1 Mg h MJ⁻¹ mm and WEPP K fall between 1·2 × 10⁻⁶–1·7 × 10⁻⁶ kg s m⁻⁴. The RUSLE erodibility K correlated significantly with CDR and DR (r = 0·44; 0·39). Also, a positive significant correlation (r = 0·71) existed between WEPP K and RUSLE K. Soils with high clay dispersion ratio (CDR) are highly erodibile and positively correlates (p < 0·51) with Fed, CEC and SOM. Also, DR positively correlates with Mg²⁺ and SOM and negatively correlate with ESP and SAR. Principal component analysis showed that SAR, Na⁺ and percent base saturation play significant role in the clay dispersion of these soils. The implication of this result is that these elements may pose potential problem to these soils if not properly managed. Copyright © 2005 John Wiley & Sons, Ltd.     

修正的通用土壤流失方程中各因子单位的确定

[目的]明确和规范修正的通用土壤流失方程(RUSLE)中各因子的单位,使得RUSLE在中国具体应用过程中更加科学和便捷。[方法]通过对国内外RUSLE应用实践的总结和对比研究,并分析其科学合理性,找出最为普遍应用的、准确的RUSLE各因子的单位,明确不同单位类型之间的转化系数。[结果]国内RUSLE的应用,大部分是通过各地区建立的各因子统计模型转换成国际制单位系统,最后相乘得到的是以国际制单位表示的土壤侵蚀量,另一部分则是通过相应的各因子统计模型计算得到各个因子以美制单位系统表示的计算结果,最后再乘以224.2将土壤侵蚀量转换为国际制单位。国内主流侵蚀估计中使用的单位焦耳系统,单位面积有两种即km^2和hm^2。土壤流失量A常用的国际制单位为t/hm^2或t/km^2;降雨侵蚀力因子R常用的国际制单位为(MJ·mm)/(hm^2·h·a)或(MJ·mm)/(km^2·h·a);土壤可蚀性因子K的常用国际制单位为(t·hm^2·h)/(hm^2·MJ·mm)或(t·km^2·h)/(km^2·MJ·mm)。不同地区建立的计算方法通过相应的转换系数转换成国际制单位。最后,R和K因子的单位系统的一致性是RUSLE应用的关键步骤。[结论]R和K因子通过相应的单位转换系数转换为国际制单位以及两者的单位一致性是土壤侵蚀评估的重要基础。     

Modeling Interrill Erosion on Unpaved Roads in the Loess Plateau of China

Unpaved roads play an important role in soil loss in small watersheds. In order to assess the impact of these unpaved roads in the Loess Plateau of China, runoff and sediment yields from road‐related sources must be quantified. Field rainfall simulation experiments were conducted under three slope gradients and five rainfall intensities on unpaved loess roads in a small watershed. Results showed that the runoff generation was very fast in loess road surface (time to runoff < 1 min) and produced a high runoff coefficient (mean value > 0·8). Soil loss rates were decreased as surface loose materials were washed away during a rainstorm. Rainfall intensity, initial soil moisture, and slope gradient are key factors to model surface runoff and sediment yield. Soil loss on loess road surface could be estimated by a linear function of stream power (R² = 0·907). Four commonly interrill erosion models were evaluated and compared, and the interrill erodibility adopted in the Water Erosion Prediction Project model was determined as 1·34 × 10⁶ (kg s m⁻⁴). A new equation taking into account different parameters like rainfall intensity, surface flow discharge, and slope gradient was established. Copyright © 2013 John Wiley & Sons, Ltd.     

Assessment of soil erosion at large watershed scale using RUSLE and GIS: a case study in the Loess Plateau of China

Soil erosion is a serious problem in the Loess Plateau of China, and assessment of soil erosion at large watershed scale is urgently need. This study used RUSLE and GIS to assess soil loss in the Yanhe watershed. All factors used in the RUSLE were calculated for the watershed using local data. RUSLE‐factor maps were made. The mean values of the R‐factor, K‐factor, LS‐factor, C‐factor and P‐factor were 970 209 MJ km⁻² h⁻¹ a⁻¹, 0·0195 Mg h MJ⁻¹ mm⁻¹, 10·27, 0·33359 and 0·2135 respectively. The mean value of the annual average soil loss was found to be 14 458 Mg km⁻² per year, and the soil loss rate in most areas was between 5000 and 20 000 Mg km⁻² per year. There is more erosion in the centre and southeast than in the northwest of Yanhe watershed. Because of the limitations of the RUSLE and spatial heterogeneity, more work should be done on the RUSLE‐factor accuracy, scale effects, etc. Furthermore, it is necessary to apply some physical models in the future, to identify the transport and deposition processes of sediment at a large scale. Copyright © 2005 John Wiley & Sons, Ltd.     

Modelling Soil Detachment of Different Management Practices in the Red Soil Region of China

Soil erosion from cropland is a primary cause of soil degradation in the hilly red soil region of China. Soil characteristics and the resistance of soil to erosion agents can be improved with appropriate management practices. In this study, hydraulic flume experiments were conducted to investigate the effects of five management practices [manure fertilizer (PM), straw mulch cover (PC), peanut–orange intercropping (PO), peanut–radish rotation (PR) and traditional farrow peanut (PF)] on soil detachment. Based on the results, three conservation management practices (PC, PM and PO) increased the resistance of soil to concentrated flow erosion. The rill erodibility of different treatments was ranked as follows: PC (0·001 s m⁻¹) < PM (0·004 s m⁻¹) < PO (0·007 s m⁻¹) < PF (0·01 s m⁻¹) < PR (0·027 s m⁻¹). The rill erodibility was affected by soil organic content, aggregate stability and bulk density. The soil detachment rate was closely correlated with the flow discharge and slope gradient, and power functions for these two factors were developed to evaluate soil detachment rates. Additionally, the shear stress, stream power and unit stream power were compared when estimating the soil detachment rate. The power functions of stream power and shear stress were equivalent, and both are recommended to predict detachment rates. Local soil conservation can benefit from the results of this study with improved predictions of erosion on croplands in the red soil region of China. Copyright © 2016 John Wiley & Sons, Ltd.     

Soil erodibility and its prediction in semi-arid regions

ABSTRACT

Pedotransfer functions (PTFs) have been used to save time and cost in predicting certain soil properties, such as soil erodibility (K-factor). The main objectives of this study were to develop appropriate PTFs to predict the K-factor, and then compare new PTFs with Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) K-factor models. The K-factor was measured using 40 erosion plots under natural rainfall in Simakan Watershed, an area of 350 km² in central of Iran. The Regression Tree (RT) and Multiple Linear Regression (MLR) were used to develop PTFs for predicting the K-factor. The result showed that the mean of measured K was 0.01 t h MJ^?1 mm^?1. The mean K value predicted by USLE and RUSLE was 2.08 and 2.84 times more than the measured K, respectively. Although calcium carbonate was not considered in the original USLE and RUSLE K-factors, it appeared in the advanced PTFs due to its strong positive significant impact on aggregate stability and soil infiltration rate, resulting in decreased K-factor. The results also showed that the RT with R² = 0.84 had higher performance than developed MLR, USLE and RUSLE for the K estimation.     

Nomographic estimation and evaluation of soil erodibility under simulated and natural rainfall conditions

To evaluate soil erodibility under different land uses and to study the applicability of nomograph for estimation of soil erodibility a field experiment was conducted under both natural and simulated rainfall conditions under four land uses viz. barren, cultivated, grassland, and forest in the sub‐mountainous tract of Punjab (India). Measured soil erodibility (K) values varied from 0·33 to 0·67 under natural rainfall conditions and from 0·23 to 0·40 under simulated rainfall conditions. Among different land uses, measured K was in the order of barren > cultivated > grassland > forest soils. The values of the K estimated by nomograph were very low as compared to the observed values. The trends were also in contrast to these observed values of K under simulated and natural rainfall conditions. To modify nomograph equation, different ranges of aggregate sizes were correlated with soil loss. It was observed that water stable aggregates (WSA) <2 mm size had a significant correlation with soil loss under both natural (r = 0·88) and simulated (r = 0·76) rainfall conditions. So the nomograph equation was modified to include the M parameter based on WSA <2 mm size. The value of K estimated from the modified nomograph had a significant correlation with measured values of K under both the natural and simulated rainfall conditions. Copyright © 2009 John Wiley & Sons, Ltd.     

基于随机森林算法的土壤侵蚀影响因子研究——以赣江上游流域为例

[目的]分析影响赣江上游流域土壤侵蚀的主要因素,为该区水土流失治理与科学管理提供科学依据。[方法]基于2015年Landsat 8遥感影像、MODIS NDVI数据、数字高程模型(DEM)、土壤类型和降雨数据,采用RUSLE模型和随机森林算法对赣江上游流域土壤侵蚀及其影响因子进行定量化分析。[结果] 2015年赣江上游流域土壤侵蚀强度由东南向西北逐渐加剧,总体上处于轻度侵蚀水平,土壤侵蚀总量为3.45×10~7 t/a,平均土壤侵蚀模数为1 046.38 t/(km~2·a),比南方红壤丘陵区土壤允许流失量[500 t/(km~2·a)]高出2倍之多;子流域9,11,15平均土壤侵蚀模数分别为1 672.66,1 715.83和1 565.36 t/(km~2·a),处于中度侵蚀级别,为研究区重点防治区域;其余子流域均为轻度侵蚀级别。[结论]各子流域的土壤侵蚀受植被覆盖与管理因子(C)和坡长坡度因子(LS)影响较大,两者重要程度分别在30%和20%以上,土壤可蚀性因子(K)和降雨侵蚀力因子(R)的重要程度偏低,均未超过10%。其中子流域9,11,21主要受LS因子影响,其余子流域均受C因子主控。     

Runoff sediment particle sizes associated with soil erosion in the Lake Tahoe Basin,USA

Runoff sediment from disturbed soils in the Lake Tahoe Basin has resulted in light scattering, accumulation of nutrients, and subsequent loss in lake clarity. Little quantified information about erosion rates and runoff particle‐size distributions (PSDs) exists for determining stream and lake loading associated with land management. Building on previous studies using rainfall simulation (RS) techniques for quantifying infiltration, runoff, and erosion rates, we determine the dependence and significance of runoff sediment PSDs and sediment yield (SY, or erodibility) on slope and compare these relationships between erosion control treatments (e.g., mulch covers, compost, or woodchip incorporation, plantings) with bare and undisturbed, or ‘native’ forest soils. We used simulated rainfall rates of 60–100 mm h⁻¹ applied over replicated 0·64 m² plots. Measured parameters included time to runoff (s), infiltration and runoff rates (mm h⁻¹), SY (g mm⁻¹ runoff), and average sediment concentration (SC, g L⁻¹) as well as PSDs in runoff samples. In terms of significant relationships, granitic soils had larger particle sizes than volcanic soils in bulk soil and runoff samples. Consequently, runoff rates, SCs, and SYs were greater from bare volcanic as compared to that from bare granitic soils at similar slopes. Generally, runoff rates increased with increasing slope on bare soils, while infiltration rates decreased. Similarly, SY increased with slope for both soil types, though SYs from volcanic soils are three to four times larger than that from granitic soils. As SY increased, smaller particle sizes are observed in runoff for all soil conditions and particle sizes decreased with increasing slope. Copyright © 2008 John Wiley & Sons, Ltd.     

基于USLE的甘南川西北土壤侵蚀研究

甘南川西北位于黄河和长江上游源区,量化研究该区土壤侵蚀对河源区生态安全保障和地方经济可持续发展具重要意义。论文采用多种数据方法,基于USLE就甘南川西北2000—2015年间土壤侵蚀的时空分布特征及变化规律进行量化评估。结果表明:(1)降雨侵蚀力因子R值介于65~411(MJ·mm)/(hm²·h·a),高值区主要分布在东南部,空间分布与该区降雨格局基本一致;(2)土壤可蚀性因子K值介于0.19~0.41(t·hm²·h)/(hm²·MJ·mm),高值呈斑块状零星分布,与地带性土壤物化性状有关;(3)坡长坡度因子LS值介于0~8.24,高值主要分布在中北部高山地带,低值分布在东北部和西南部地形较平缓区域;(4)植被覆盖管理因子C值介于0~1,高值集中分布在研究区的西北部与西南部,与该区植被覆盖稀疏有关;(5)基于USLE的甘南川西北年侵蚀量为3.3×108 t/a,总体表现为轻度侵蚀;(6)2000—2015年间,研究区土壤侵蚀呈减弱态势,与增温背景下植被活动增强有关。     

Modeling Landscape‐scale Erosion Potential Related to Vehicle Disturbances Along the USA–Mexico Border

Decades of intensive off‐road vehicle use for border security, immigration, smuggling, recreation, and military training along the USA–Mexico border have prompted concerns about long‐term human impacts on sensitive desert ecosystems. To help managers identify areas susceptible to soil erosion from anthropogenic activities, we developed a series of erosion potential models based on factors from the Universal Soil Loss Equation (USLE). To better express the vulnerability of soils to human disturbances, we refined two factors whose categorical and spatial representations limit the application of the USLE for non‐agricultural landscapes: the C‐factor (vegetation cover) and the P‐factor (support practice/management). A soil compaction index (P‐factor) was calculated as the difference in saturated hydrologic conductivity (K_s) between disturbed and undisturbed soils, which was then scaled up to maps of vehicle disturbances digitized from aerial photography. The C‐factor was improved using a satellite‐based vegetation index, which was better correlated with estimated ground cover (r² = 0·77) than data derived from land cover (r² = 0·06). We identified 9,780 km of unauthorized off‐road tracks in the 2,800‐km² study area. Maps of these disturbances, when integrated with soil compaction data using the USLE, provided landscape‐scale information on areas vulnerable to erosion from both natural processes and human activities and are detailed enough for adaptive management and restoration planning. The models revealed erosion potential hotspots adjacent to the border and within areas managed as critical habitat for the threatened flat‐tailed horned lizard and endangered Sonoran pronghorn. Copyright © 2014 John Wiley & Sons, Ltd.     

Response of soil multifractal characteristics and erodibility to 15-year fertilization on cropland in the Loess Plateau,China

Understanding the influence of long-term fertilization on the multifractal characteristics and erodibility of soil of cultivated land on the Loess Plateau of China could help prevent soil erosion and promote the sustainable development of agriculture. We collected 27 soil samples from 0 to20 cm layers of nine fertilizer treatments. Rényi spectrum (D_q) and singularity spectrum (?(α)) were applied to characterize soil particle-size distribution (PSD). The multifractal parameters of capacity dimension (D₀), entropy dimension (D₁), Hölder exponent of order zero (α₀), and erodibility K and anti-erodibility indices (aggregate state and degree) were used to determine the effect of fertilization on soil properties and erodibility. The multifractal models could characterize the PSDs in the various fertilizer treatments well. Treatments receiving manure had higher D₀, D₁, α₀, soil organic carbon (SOC) content, aggregate state and degree and lower erodibility. It was concluded that D₀, D₁, and α₀ could clearly discriminate among the various treatments, and the combined application of mineral fertilizers and organic manure greatly improved soil quality and structure of the cultivated land in the Loess Plateau. Furthermore, changes of multifractal parameters D₀, D₁, and α₀, especially D₁, was mainly due to the reduced soil erosion and the increase of SOC.     

东北近天然林土壤可蚀性K值研究

基于吉林省汪清林业局所辖林场10块近天然林样地,采集0—20,20—40和40—60cm土层土壤样品,对土样进行了粒径分析及养分测定。运用侵蚀—土地生产力影响评估模型(EPIC)对研究区土壤可蚀性因子K值进行了估算,分析讨论了K值的影响因素及其与土壤养分之间的相关性。结果表明,研究区内土壤可蚀性K值平均为0.060 7t·hm2·h/(MJ·mm·hm2);0—20cm深度的土壤可蚀性K值较20—60cm土层土壤大,针阔混交林的K值比阔叶混交林的大;当林分密度小于1 200株/hm2,郁闭度小于0.75时,K值随林分密度和郁闭度的增大而减小。K值与土壤养分的相关性由高到低依次为:全氮速效钾有效磷全磷,除全氮外其他土壤养分均与K值呈负相关。最适林分密度为750~1 200株/hm2,在该密度下各土壤养分含量状况较好且土壤抗蚀能力较高。     

Modelling spatial uncertainty of soil erodibility factor using joint stochastic simulation

Soil erosion varies greatly over space and is commonly estimated using the revised universal soil loss equation (RUSLE). Neglecting information about estimation uncertainty, however, may lead to improper decision‐making. One geostatistical approach to spatial analysis is joint stochastic simulation, which draws alternative, equally probable, joint realizations of a regionalized variable. Differences between the realizations provide a measure of spatial uncertainty and allow us to carry out an error propagation analysis. The objective of this paper was to assess spatial uncertainty of a soil erodibility factor (K) model resulting from the uncertainties in the input parameters (texture and organic matter). The 500 km² study area was located in central‐eastern Sardinia (Italy) and 152 samples were collected. A Monte Carlo analysis was performed where spatial cross‐correlation information through joint turning bands simulation was incorporated. A linear coregionalization model was fitted to all direct and cross‐variograms of the input variables, which included three different structures: a nugget effect, a spherical structure with a shorter range (3500 m) and a spherical structure with a longer range (10 000 m). The K factor was then estimated for each set of the 500 joint realizations of the input variables, and the ensemble of the model outputs was used to infer the soil erodibility probability distribution function. This approach permitted delineation of the areas characterized by greater uncertainty, to improve supplementary sampling strategies and K value predictions. Copyright © 2007 John Wiley & Sons, Ltd.     

西南干暖河谷土壤细沟可蚀性垂直地带性差异

为探究以干暖河谷为基带的西南山地土壤细沟可蚀性垂直地带性差异,选择该区不同垂直带典型土地利用类型(林草地和耕地)下不同土壤类型(红壤、黄壤、棕壤和暗棕壤)为研究对象,利用室内“V”形细沟模拟装置,分别进行6种流量(150,300,450,600,750,900mL/min)和3种水文状态(排水状态、饱和状态和渗流状态)的模拟冲刷试验。结果表明:(1)该区土壤颗粒组成无明显的垂直地带性,林草地的砂粒含量偏高,各土壤的颗粒含量差异在9%以内,所有土壤均为粉质壤土,但有机质差异较大,且随着海拔增加而增加;(2)土壤的细沟可蚀性具有明显的垂直地带性,随海拔升高,林草地土壤可蚀性Kr值逐渐减小,相比于红壤,暗棕壤的Kr值减小幅度平均为47.74%,耕地土壤中黄壤略大于红壤,可能与人为活动强度和土壤熟化程度有关;(3)不同土地利用方式下,林草地土壤Kr值显著大于耕地土壤Kr值,平均增幅为22.63%,这可能与有机质促进土壤抗侵蚀性能的提高有关;(4)不同近地表水文状态下,土壤的细沟可蚀性表现为渗流状态>饱和状态>排水状态,表明随着近地表水文状态变化,尤其是垂直水力梯度的增加会显著导致土壤的细沟可蚀性增大;试验还发现,土壤的临界剪切力仅在不同的水文状态下具有渗流状态>饱和状态>排水状态的规律性,而在不同海拔和土地利用类型之间没有明显的规律性。     

基于GIS和RUSLE的高山峡谷区土壤侵蚀研究——以云南省泸水县为例

[目的]研究区域土壤侵蚀,揭示水土流失的空间分异规律,为区域水土保持和生态农业建设提供理论指导依据。[方法]应用GIS和RUSLE模型对云南省泸水县的土壤侵蚀进行研究。RUSLE模型中的因子包括降雨侵蚀力、土壤可蚀性、坡度坡长因子、植被覆盖和水土保持措施因子,运用GIS空间分析模块,获取泸水县土壤侵蚀模数空间分布图,根据SL 190-2007的分级标准进行土壤侵蚀强度分级,并分析该区土壤侵蚀强度空间分布格局。[结果](1)从各强度侵蚀面积上看,泸水县2014年土壤侵蚀以微度侵蚀为主,占总面积的86.86%,但从平均土壤侵蚀模数看,土壤侵蚀量为4.24×10~6 t,平均侵蚀模数为1 373.1t/(km~2·a),土壤侵蚀强度属于轻度侵蚀;(2)土壤侵蚀较严重区与未利用地、耕地空间分布基本一致,在坡度25°~50°的范围内,侵蚀面积占总侵蚀面积的75%,并且在该坡度段上的耕地面积占总耕地的63%,剧烈侵蚀集中分布在未利用地上,中度以上剧烈以下强度侵蚀集中分布在该坡度段上的耕地上,说明该坡耕地、未利用地对土壤侵蚀的贡献最大,要加强对未利用地的生态治理。[结论]坡度大,陡坡垦殖和未利用地的不合理利用是该区土壤侵蚀加重的主要原因,坡度在25°以上的地区不适宜耕种,应优化农业产业结构如实施退耕还林还草等措施,才能有效的保持水土。     

Tillage erosion,water erosion and soil quality on cultivated terraces near Xifeng in the Loess Plateau,China

This study sought to contribute to the understanding of soil redistribution by tillage on terraces and the extent and causes of within-field variation in soil properties by examining the spatial distributions of soil redistribution rates, derived using caesium-137, and of total nitrogen and total phosphorus concentrations, within a ribbon and a shoulder terrace in a yuan area of the Loess Plateau of China. Additional water erosion rate data were obtained for nine other terraces. Water erosion rates on the ribbon terraces were low (<1 kg m⁻² yr⁻¹), unless slope tangents exceeded 0·1. However, despite the use of animal traction, high rates of tillage erosion were observed (mean 5·5 kg m⁻² yr⁻¹). Soil nitrogen concentrations were related to rates of soil redistribution by tillage on the ribbon terrace examined in detail. In general, higher rates of water erosion (0·5–2·9 kg m⁻² yr⁻¹) and lower rates of tillage erosion (mean 1·4 kg m⁻² yr⁻¹) were evident on the longer shoulder terraces. On the shoulder terrace examined in detail, soil phosphorus concentrations were related to net rates of soil redistribution. A statistically significant regression relationship between water erosion rates and the USLE length and slope factor was used in conjunction with the simulation of tillage erosion rates to evaluate a range of terrace designs. It is suggested that off-site impacts of erosion could be further reduced by ensuring that the slope tangents are kept below 0·06 and lengths below 30 m, especially on the shoulder terraces. Tillage erosion and the systematic redistribution of soil nutrients could be reduced by modification of the contour-cultivation technique to turn soil in opposing directions in alternate years. Copyright © 1999 John Wiley & Sons, Ltd.