Soil erosion estimation in conservation tillage systems with poultry litter application using RUSLE 2.0 model

Soil erosion is a major threat to global economic and environmental sustainability. This study evaluated long-term effects of conservation tillage with poultry litter application on soil erosion estimates in cotton (Gossypium hirsutum L.) plots using RUSLE 2.0 computer model. Treatments consisting of no-till, mulch-till, and conventional tillage systems, winter rye (Secale cereale L.) cover cropping and poultry litter, and ammonium nitrate sources of nitrogen were established at the Alabama Agricultural Experiment Station, Belle Mina, AL (34°41′N, 86°52′W), beginning fall 1996. Soil erosion estimates in cotton plots under conventional tillage system with winter rye cover cropping declined by 36% from 8.0 Mg ha⁻¹ year⁻¹ in 1997 to 5.1 Mg ha⁻¹ year⁻¹ in 2004. This result was largely attributed to cumulative effect of surface residue cover which increased by 17%, from 20% in 1997 to 37% in 2004. In conventional tillage without winter rye cover cropping, soil erosion estimates were 11.0 Mg ha⁻¹ year⁻¹ in 1997 and increased to 12.0 Mg ha⁻¹ year⁻¹ in 2004. In no-till system, soil erosion estimates generally remained stable over the study period, averaging 0.5 and 1.3 Mg ha⁻¹ year⁻¹with and without winter rye cover cropping, respectively. This study shows that cover cropping is critical to reduce soil erosion and to increase the sustainability of cotton production in the southeast U.S. Application of N in the form of ammonium nitrate or poultry litter significantly increased cotton canopy cover and surface root biomass, which are desirable attributes for soil erosion reduction in cotton plots.     

Cover crop effect on soil carbon fractions under conservation tillage cotton

Cover crops may influence soil carbon (C) sequestration and microbial biomass and activities by providing additional residue C to soil. We examined the influence of legume [crimson clover (Trifolium incarnatum L.)], nonlegume [rye (Secale cereale L.)], blend [a mixture of legumes containing balansa clover (Trifolium michelianum Savi), hairy vetch (Vicia villosa Roth), and crimson clover], and rye + blend mixture cover crops on soil C fractions at the 0–150 mm depth from 2001 to 2003. Active fractions of soil C included potential C mineralization (PCM) and microbial biomass C (MBC) and slow fraction as soil organic C (SOC). Experiments were conducted in Dothan sandy loam (fine-loamy, kaolinitic, thermic, Plinthic Kandiudults) under dryland cotton (Gossypium hirsutum L.) in central Georgia and in Tifton loamy sand (fine-loamy, siliceous, thermic, Plinthic Kandiudults) under irrigated cotton in southern Georgia, USA. Both dryland and irrigated cotton were planted in strip tillage system where planting rows were tilled, thereby leaving the areas between rows untilled. Total aboveground cover crop and cotton C in dryland and irrigated conditions were 0.72–2.90 Mg C ha⁻¹ greater in rye + blend than in other cover crops in 2001 but was 1.15–2.24 Mg C ha⁻¹ greater in rye than in blend and rye + blend in 2002. In dryland cotton, PCM at 50–150 mm was greater in June 2001 and 2002 than in January 2003 but MBC at 0–150 mm was greater in January 2003 than in June 2001. In irrigated cotton, SOC at 0–150 mm was greater with rye + blend than with crimson clover and at 0–50 mm was greater in March than in December 2002. The PCM at 0–50 and 0–150 mm was greater with blend and crimson clover than with rye in April 2001 and was greater with crimson clover than with rye and rye + blend in March 2002. The MBC at 0–50 mm was greater with rye than with blend and crimson clover in April 2001 and was greater with rye, blend, and rye + blend than with crimson clover in March 2002. As a result, PCM decreased by 21–24 g CO₂–C ha⁻¹ d⁻¹ but MBC increased by 90–224 g CO₂–C ha⁻¹ d⁻¹ from June 2001 to January 2003 in dryland cotton. In irrigated cotton, SOC decreased by 0.1–1.1 kg C ha⁻¹ d⁻¹, and PCM decreased by 10 g CO₂–C ha⁻¹ d⁻¹ with rye to 79 g CO₂–C ha⁻¹ d⁻¹ with blend, but MBC increased by 13 g CO₂–C ha⁻¹ d⁻¹ with blend to 120 g CO₂–C ha⁻¹ d⁻¹ with crimson clover from April 2001 to December 2002. Soil active C fractions varied between seasons due to differences in temperature, water content, and substrate availability in dryland cotton, regardless of cover crops. In irrigated cotton, increase in crop C input with legume + nonlegume treatment increased soil C storage and microbial biomass but lower C/N ratio of legume cover crops increased C mineralization and microbial activities in the spring.     

三峡库区小流域修正通用土壤流失方程适用性分析

土壤侵蚀量的定量研究可为国家生态环境建设和水土保持宏观决策的制定提供重要的依据。修正通用土壤流失方程(revised universal soil loss equation,RUSLE)是开展土壤侵蚀定量评价的主要手段。该文在地理信息系统(geographic information system,GIS)的支持下,依据中国土壤流失方程各因子的算法确定RUSLE模型各因子值,估算了三峡库区黄冲子小流域不同时期的土壤侵蚀量,并与基于泥沙平衡原理计算的土壤侵蚀量比较后分析RUSLE模型在库区小流域的适用性。结果表明,基于RUSLE模型估算的小流域1963-2000年(农地小流域)和2001-2014年(林地小流域)的年均土壤侵蚀模数分别为2246.09和868.3 t/(km2·a),其结果与采用137Cs和210Pb技术的塘库沉积物定年结果基本吻合,表明210Pb定年结果可靠。依据泥沙平衡原理计算的小流域1963-2000年和2001-2014年的年均土壤侵蚀模数分别为942.48和811.47t/(km2·a)。RUSLE模型估算小流域1963-2000年和2001-2014年的土壤侵蚀模数相对误差分别为138.32%和7.00%。因此RUSLE模型适用于库区林地小流域,而不适用于库区农地小流域;但是基于地形因子(LS因子)修正的RUSLE模型估算结果相对误差减少至8.14%,其适用于库区农地小流域。     

Evaluation of soil erosion risk and identification of soil cover and management factor (C) for RUSLE in European vineyards with different soil management

Vineyards show some of the largest erosion rates reported in agricultural areas in Europe. Reported rates vary considerably under the same land use, since erosion processes are highly affected by climate, soil, topography and by the adopted soil management practices. Literature also shows differences in the effect of same conservation practices on reducing soil erosion from conventional, bare soil based, management. The Revised Universal Soil Loss Equation (RUSLE) is commonly adopted to estimate rates of water erosion on cropland under different forms of land use and management, but it requires proper value of soil cover and management (C) factors in order to obtain a reliable evaluation of local soil erosion rates. In this study the ORUSCAL (Orchard RUSle CALibration) is used to identify the best calibration strategy against long-term experimental data. Afterwards, ORUSCAL is used in order to apply the RUSLE technology from farm based information across different European wine-growing regions. The results suggest that the best strategy for calibration should incorporate the soil moisture sub-factor (S_m) to provide better soil loss predictions. The C factor, whose average values ranged from 0.012 to 0.597, presented a large spatial variability due to coupling with local climate and specific local management. The comparison across the five wine-growing regions indicates that for the soil protection management, permanent cover crop is the best measure for accomplishing sustainable erosion rates across the studied areas. Alternate and temporary cover crops, that are used in areas of limited water resources to prevent competition with vines, failed to achieve sustainable erosion rates, that still need to be addressed. This raises the need for a careful use of C values developed under different environmental conditions.     

Integration of modified universal soil loss equation (MUSLE) into a gis framework to assess soil erosion risk

Soil erosion is an important economic and environmental concern throughout the world. In order to assess soil erosion risk and conserve water and soil resources, soil erosion modeling at the watershed scale is urgently needed. This study integrated the Modified Universal Soil Loss Equation (MUSLE) in a Geographic Information System (GIS) framework in the form of a tool called ArcMUSLE, an extension of ArcGIS® software, to assist soil and water conservation agencies in soil erosion risk assessment and prioritization of critical areas for soil erosion control practices. With widely available spatial data, this tool can be applied to determine curve numbers, to estimate runoff, peak flow, and soil loss for a rainfall event within a watershed. An application example for a watershed in Black Hawk County, Iowa, USA, is presented. Copyright © 2008 John Wiley & Sons, Ltd.     

河西绿洲灌区保护性耕作对土壤风蚀特征的影响

为研究河西绿洲灌区保护性耕作对土壤风蚀的影响,通过春小麦田间试验,设置免耕不覆盖、免耕秸秆覆盖、立茬和残茬压倒4种保护性耕作处理,以传统耕作为对照,分析了河西绿洲灌区不同保护性耕作措施对田间输沙量、风蚀深度、风蚀物粒径组成、风速的影响。结果表明：0~30 cm高度输沙量能敏感地反映不同耕作措施之间输沙量的差异。与传统耕作相比,免耕不覆盖、免耕秸秆覆盖、立茬和残茬压倒处理0~30 cm高度输沙量分别减少17.4%~46.7%、21.7%~45.2%、24.7%~48.2%和10.7%~42.4%。风蚀深度传统耕作为1.22~1.44 mm,4种保护性耕作处理均为0 mm。与传统耕作相比,保护性耕作处理风蚀物粒径组成无显著变化,但<0.063 mm细粒占比有减小趋势。立茬处理20 cm高度风速显著降低24.1%~39.5%,其他保护性耕作措施风速降低不显著。综上所述,河西绿洲灌区不同保护性耕作措施能不同程度地抑制土壤风蚀,立茬处理是相对较优的保护性耕作措施,适宜该地区推广应用。     

基于RUSLE模型的黑龙江省2000-2010年土壤保持量评价

黑龙江省是我国重要的粮食产区,同时也是东北地区重点生态保护区,黑龙江省土壤保持量的研究对维持生态安全与可持续发展有重要作用。基于黑龙江省2000年、2005年和2010年的降雨、土壤、高程等数据,结合GIS空间分析方法,运用修订的通用土壤流失方程(RUSLE),估算了2000—2010年黑龙江省土壤保持量,并对其空间分布及变化趋势进行模拟分析。结果表明:2000—2010年,黑龙江省土壤保持能力整体增强,土壤保持量增加了5.34%,且除牡丹江和哈尔滨地区外,各行政区的土壤保持量均有所增加;各土地利用类型的年均单位面积土壤保持量以森林最多,为3 384.36 t·km-2·a-1,裸地最少,为177.17 t·km-2·a-1,10年来除农田和灌丛外,各土地利用类型的单位面积土壤保持能力均增强;2000—2010年黑龙江省高等级土壤保持量比例及低等级转化成高等级土壤保持量的面积都在提高,黑龙江省土壤保持能力10年来趋于好转。     

Impact of a no-till with mulch soil management strategy on soil macrofauna communities in a cotton cropping system

Systematic exportation, burning of crop residues and decreases in fallow periods have led to a large-scale depletion of soil organic matter and degradation of soil fertility in the cotton (Gossypium hirsutum L.) cropping systems of Cameroon. The present study tested whether soil management systems based on a no-till with mulch approach intercropped with cereals, which has been shown to restore cotton production, could boost the biological activity of soil macrofauna. The impacts of no tillage with grass mulch (Brachiaria ruziziensis Germain and Eward) (NTG) and no tillage with legume mulch (Crotalaria retusa L. or Mucuna pruriens Bak.) (NTL) on the abundance, diversity and functional role of soil invertebrates were evaluated during the third year of implementation in northern Cameroon (Windé and Zouana), compared to conventional tillage (CT) and no tillage (NT) without mulch. Macrofauna were sampled from two 30 cm × 30 cm soil cubes (including litter) at the seeding stage of cotton, and 30 days later. The collected organisms were grouped into detritivores, herbivores and predators. Examination of the soil macrofauna patterns revealed that the abundance and diversity of soil arthropods were significantly higher in NTG and NTL than in CT plots (+103 and +79%, respectively), while that of NT plots was in-between the no tillage groups and CT (+37%). Regarding major ecological functions, herbivores and predators were significantly more abundant in NTG and NTL plots than in CT plots at Windé (+168 and +180%, respectively), while detritivores, predators and herbivores were significantly more abundant in the NTG plots than in CT plots at Zouana (+92, +517 and +116%, respectively). Formicidae (53.6%), Termitidae (24.7%) and Lumbricidae (9.4%) were the most abundant detritivores while Julidae (46.1%), Coleoptera larvae (22.1%) and Pyrrhocoridae or Reduviidae (11.8%) were the dominant herbivores. The major constituents of the predatory group were Araneae (33.8%), Carabidae (24.6%), Staphylinidae (15.7%) and Scolopendridae (10.3%). Direct seeding mulch-based systems, NTG and NTL, favoured the establishment of diverse macrofaunal communities in the studied cotton cropping system.     

Soil loss estimation using rusle model to prioritize erosion control in KELANI river basin in Sri Lanka

Soil erosion contributes negatively to agricultural production, quality of source water for drinking, ecosystem health in land and aquatic environments, and aesthetic value of landscapes. Approaches to understand the spatial variability of erosion severity are important for improving landuse management. This study uses the Kelani river basin in Sri Lanka as the study area to assess erosion severity using the Revised Universal Soil Loss Equation (RUSLE) model supported by a GIS system. Erosion severity across the river basin was estimated using RUSLE, a Digital Elevation Model (15 × 15 m), twenty years rainfall data at 14 rain gauge stations across the basin, landuse and land cover, and soil maps and cropping factors. The estimated average annual soil loss in Kelani river basin varied from zero to 103.7 t ha-1 yr⁻¹, with a mean annual soil loss estimated at 10.9 t ha⁻¹ yr⁻¹. About 70% of the river basin area was identified with low to moderate erosion severity (<12 t ha−1 yr⁻¹) indicating that erosion control measures are urgently needed to ensure a sustainable ecosystem in the Kelani river basin, which in turn, is connected with the quality of life of over 5 million people. Use of this severity information developed with RUSLE along with its individual parameters can help to design landuse management practices. This effort can be further refined by analyzing RUSLE results along with Kelani river sub-basins level real time erosion estimations as a monitoring measure for conservation practices.     

Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS

The revised universal soil loss equation (RUSLE), the sediment delivery distributed (SEDD) model, and ArcView GIS were used to estimate the impacts of no-till practice on soil erosion and sediment yield in Pataha Creek Watershed, a typical dryland agricultural watershed in southeastern Washington. The results showed that the average cell soil loss decreased from 11.09 to 3.10 t/ha yr for the whole watershed and from 17.67 to 3.89 t/ha yr for the croplands under the no-till scenario. Likewise, the average cell sediment yield decreased from 4.71 to 1.49 t/ha yr for the entire watershed and from 7.11 to 1.55 t/ha yr for the croplands under no-till practices. The major reason why no-till practice can significantly reduce the soil erosion and sediment yield is that it prevents rill generation which through rill erosion ultimately contributes up to 90% of the soil erosion in the Inland Pacific Northwest region.     

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.     

耕作侵蚀及其对土壤肥力和作物产量的影响研究进展

在坡耕地景观内,由于农耕工具和重力作用而引起的耕作位移使土壤发生向下坡运动或向上坡运动(依赖于耕作方向),导致净余土壤量向下坡传输、堆积,重新分配,从而形成耕作侵蚀。试验研究表明耕作侵蚀是坡耕地的主要侵蚀形式之一,耕作侵蚀发生最严重的区域是坡度较大、坡体短的坡耕地。该文就耕作侵蚀的概念、发生机理、典型的耕作侵蚀模型的发展,以及耕作侵蚀对土壤肥力和作物产量影响的研究现状作了简要论述,特别总结了针对中国的地貌和耕作工具特征而进行的耕作侵蚀的研究成果。指出在一定的景观范围内,耕作侵蚀是十分严重的,甚至其严重程度已经超过了水蚀。但是相对于水蚀而言,耕作侵蚀研究还很少,因此加强耕作侵蚀的研究是十分必要的。只有这样才能正确评价农耕地侵蚀状况,准确制定土壤保持措施和采用减少耕作侵蚀力的耕作工具,从而有效地控制土壤侵蚀。     

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.     

A comparison of mineral-magnetic and distributed RUSLE modeling in the assessment of soil loss on a southeastern U.S. cropland

As geospatial technologies increasingly figure into resource management activities, there is a corresponding need to provide commensurately detailed high resolution spatial data. This study addresses the capacity of rapidly and cheaply acquired mineral-magnetic data to provide detailed spatially distributed assessments of long-term cumulative soil loss from agricultural fields. Model output from a simple distributed implementation of the Revised Universal Soil Loss Equation (RUSLE) and from a field-data-oriented soil magnetism-based erosion model are compared for a small Alabama (USA) farm lot. An undisturbed reference soil toposequence is used as input to the magnetism model, in contrast with earlier studies that relied on a single reference soil profile. Results from this procedure, while likely to be more dependable, proved primarily to further emphasize spatial patterns noted in prior studies. In addition, the use of a toposequence decreased the area over which RUSLE and magnetism models were in agreement. RUSLE underpredicted denudation relative to magnetism-model results over upper slopes, and overpredicted it on lower slopes. The locations of former access roads may explain underprediction on the upper slopes. The differences between the two method outcomes are discussed with regard to the potential for spatial variability in parent materials, the efficacies of non-fluvial soil redistribution processes, and the availability of detailed land use records for the 100+ years of agricultural activities at the site.     

长期保护性耕作对黄土高原旱地土壤肥力质量的影响

长期定位试验研究了黄土高原西部旱农区传统耕作措施和5种保护性耕作措施对豌豆-小麦(P→W)和小麦-豌豆(W→P)轮作序列的耕层土壤肥力质量的影响。结果表明,与传统耕作(T)处理相比,传统耕作秸秆还田(TS)和免耕秸秆覆盖(NTS)处理有机质含量分别提高11.61%～12.21%和12.13%～16.99%,全氮提高7.29%～8.42%和11.58%～12.95%,全磷提高10.35%～14.63%和13.79%～18.29%,全钾提高7.32%～7.51%和8.78%～9.15%,速效磷提高11.10%～12.41%和16.29%～20.99%,速效钾提高25.11%～43.26%和31.62%～44.22%,pH降低0.11～0.17个单位和0.09～0.16个单位。进一步利用加乘法则和加权综合法两种模型评价不同耕作方式下的土壤肥力质量,结果表明,土壤肥力质量指数排序为NTS处理TS处理NTP处理NT处理T处理TP处理(P→W轮作序列)和NTS处理TS处理NT处理NTP处理TP处理T处理(W→P轮作序列)。在黄土高原雨养农作系统中,实施免耕结合秸秆覆盖,对促进和维持土壤养分平衡,提高土壤肥力质量具有重要意义。     

三峡库区土壤侵蚀空间分布特征

结合三峡库区的区位特征和数据获取条件,对RUSLE模型的因子算法进行相应修正,最后基于GIS评估库区土壤侵蚀风险及其空间分布特征。结果表明:1)库区年均土壤侵蚀量为1亿8 359.43万t/a,平均土壤侵蚀模数为31.85 t/(hm2.a),水土流失面积占库区土地总面积的66.97%;2)库区土壤侵蚀强度与高程梯度间无直接线性关系,中度以上侵蚀主要分布在500～1 500 m高程带上,其中极强烈、剧烈侵蚀在500～1 000 m间出现频率最高,这应该与该区域强烈的人类活动有关;3)库区土壤侵蚀强度与坡度呈显著正相关,中度以上侵蚀在15°以上坡度带的发生频率急剧增加,其53.74%的面积比例贡献了89.06%土壤侵蚀量;4)库区土壤侵蚀强度在不同坡向上表现为半阴坡>正阴坡>半阳坡>正阳坡,阴坡的侵蚀量稍大于阳坡,占库区总侵蚀量的56.63%。说明500～1 500 m高程带、>15°坡度带以及阴坡是库区发生土壤侵蚀的主要区域,也是水土流失防治及治理的重点区域。     

Influence of landuse on soil erosion risk in the Cuyaguateje watershed (Cuba)

Landuse changes may dramatically enhance erosion risk. Besides deforestation, also arable landuse may have an important influence on soil loss. We investigated the erosion risk in a 151 km² subwatershed of the Cuyaguateje watershed (Cuba) using the RUSLE model. It was found that the valleys used for agriculture have the highest erosion risk, with actual erosion surpassing soil loss tolerance. Over the period 1985–2000, about 14 km² of forest has been converted into arable land. As a result, the area with a very high erosion risk increased with 12%. On arable land it was found that the crop management factor C of a “tobacco/maize” rotation was 0.478, compared to 0.245 for a rotation of various crops (sweet potato, beans, maize, cassava and fallow). When maize in the “tobacco/maize” rotation was intercropped with a leguminous crop (hyacinth bean) the C factor decreased to a value of 0.369. Also contouring may halve soil loss on moderate slopes (< 10%) when high ridges are applied, which is in Cuba generally the case for maize, cassava and sweet potato.     

近十年土壤侵蚀与水土保持研究进展与展望

在当今生态文明背景下,土壤侵蚀与水土保持研究迎来了新的发展机遇和挑战。本文首先采用文献计量学方法,定量分析了近10年来国内外土壤侵蚀与水土保持学科发展现状。在此基础上,结合社会需求的变化,阐明了学科发展需求与存在问题。最后,提出了本学科研究的重点领域与方向:水文过程与侵蚀产沙机理,土壤侵蚀过程及其定量模拟,全球变化下土壤侵蚀演变及其灾变机理,社会经济系统—水土流失的互馈过程,以生态功能提升为主的土壤侵蚀防治,以及土壤侵蚀研究新技术与新方法等。     

Assessment of tillage erosion rates on steepland Oxisols in the humid tropics using granite rocks

Soil translocation by tillage may be an important factor in land degradation in the humid tropics. The objective of this study was to evaluate tillage-induced soil translocation on an Oxisol with 25% and 36% slopes in Claveria, Philippines for three tillage systems: contour moldboard plowing (CMP), moldboard plowing up and downslope (UMP), and contour ridge tillage (CRT). Small rocks 3–4 cm in “diameter” were used as soil movement detection units (SMDU). The SMDUs were placed at 10 cm intervals in a narrow 5-cm-deep trench near the upper boundary of each plot, the position of each rock recorded, and the trench backfilled. Five tillage operations used to produce one corn crop were performed during a one month period: two moldboard plowing operations for land preparation (except for CRT), one moldboard plowing for corn planting, and two inter-culture (inter-row cultivation) operations. After these operations, over 95% of the SMDU were recovered manually and their exact locations recorded. Mean annual soil flux for the 25% slope was 365 and 306 kg m⁻¹ y⁻¹ for UMP and CMP, respectively. For the 36% slope, comparable values were 481 and 478 kg m⁻¹ y⁻¹. Estimated tillage erosion rates for the 25% slope were 456 and 382 Mg ha⁻¹ y⁻¹ for UMP and CMP, respectively, and increased to 601 and 598 Mg ha⁻¹ y⁻¹, respectively, for the 36% slope. The mean displacement distance, mean annual soil flux, and mean annual tillage-induced soil loss for both slopes were reduced by approximately 70% using CRT compared to CMP and UMP.     

生产建设项目区土壤侵蚀研究进展简

生产建设活动导致生产建设项目区土壤侵蚀发生深刻变化,生产建设项目区土壤侵蚀的研究对于区域土壤侵蚀控制,改善项目区及其周边地区生态环境具有重大意义;因此,生产建设项目区土壤侵蚀的研究亦应形成其完善的理论体系,从而为生产建设项目区的土壤侵蚀控制提供科学指导.从生产建设项目土壤侵蚀的基本概念、影响因素、产流产沙规律等方面总结生产建设项目土壤侵蚀的研究现状,并对研究中存在的部分问题进行评述,以期为今后生产建设项目区土壤侵蚀的相关研究提供参考.