Predicting soil erosion in conservation tillage cotton production systems using the revised universal soil loss equation (RUSLE)

被引:81
|
作者
Nyakatawa, EZ
Reddy, KC
Lemunyon, JL
机构
[1] Alabama A&M Univ, Dept Plant & Soil Sci, Normal, AL 35762 USA
[2] NRCS, USDA, Ft Worth, TX 76115 USA
来源
SOIL & TILLAGE RESEARCH | 2001年 / 57卷 / 04期
关键词
cotton; cover crop; mulch-till; no-till; poultry litter; RUSLE; soil erosion;
D O I
10.1016/S0167-1987(00)00178-1
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Despite being one of the most profitable crops for the southeastern USA, cotton (Gossypium hirsutum L.) is considered to create a greater soil erosion hazard than other annual crops such as corn (Zen mays L.) and soybeans (Glycine max (L.) Merr.). Reduced tillage systems and cover cropping can reduce soil erosion and leaching of nutrients into ground water. The objectives of this study, which was conducted in north Alabama from 1996 to 1998, were to assess the impact of no-till and mulch-till systems with a winter rye (Secale cereale L.) cover crop and poultry litter on soil erosion estimates in cotton plots using the revised universal soil loss equation (RUSLE). Soil erosion estimates in conventional till plots with or without a winter rye cover crop and ammonium nitrate fertilizer were double the 11 t ha(-1) yr(-1) tolerance level for the Decatur series soils. However, using poultry litter as the N source (100 kg N ha(-1)) gave soil erosion estimates about 50% below the tolerance level under conventional till. Doubling the N rate through poultry litter to 200 kg N ha(-1) under no-till system gave the lowest soil erosion estimate level. No-till and mulch-till gave erosion estimates which were about 50% of the tolerance level with or without cover cropping or N fertilization This study shows that no-till and mulch-till systems with cover cropping and poultry litter can reduce soil erosion in addition to increasing cotton growth and lint yields, and thus improve sustainability of cotton soils in the southeastern USA. (C) 2001 Published by Elsevier Science B.V.
引用
下载
收藏
页码:213 / 224
页数:12
相关论文
共 50 条
  • [31] Spatial uncertainty in prediction of the topographical factor for the Revised Universal Soil Loss Equation (RUSLE)
    Wang, Guangxing
    Fang, Shoufan
    Shinkareva, Svetlana
    Gertner, George
    Anderson, Alan
    Transactions of the American Society of Agricultural Engineers, 2002, 45 (01): : 109 - 118
  • [32] Estimation of soil erosion in a semi-arid watershed of Tamil Nadu (India) using revised universal soil loss equation (rusle) model through GIS
    Balasubramani K.
    Veena M.
    Kumaraswamy K.
    Saravanabavan V.
    Modeling Earth Systems and Environment, 2015, 1 (3)
  • [33] Spatial uncertainty in prediction of the topographical factor for the Revised Universal Soil Loss Equation (RUSLE)
    Wang, G
    Fang, S
    Shinkareva, S
    Gertner, G
    Anderson, A
    TRANSACTIONS OF THE ASAE, 2002, 45 (01): : 109 - 118
  • [34] Relationship between drought and soil erosion based on the normalized differential water index(NDWI) and revised universal soil loss equation(RUSLE) model
    Muhammad RENDANA
    Wan Mohd Razi IDRIS
    Febrinasti ALIA
    Supli Effendi RAHIM
    Muhammad YAMIN
    Muhammad IZZUDIN
    Regional Sustainability, 2024, 5 (04) : 135 - 146
  • [35] Estimation of soil erosion potential using universal soil loss equation
    Chandramohan T.
    Durbude D.G.
    Journal of the Indian Society of Remote Sensing, 2002, 30 (4) : 181 - 190
  • [36] SOIL LOSS FROM COTTON WITH CONSERVATION TILLAGE
    MUTCHLER, CK
    MCDOWELL, LL
    GREER, JD
    TRANSACTIONS OF THE ASAE, 1985, 28 (01): : 160 - &
  • [37] Geophysical evaluation of soils and soil loss estimation in a semiarid region of Maharashtra using revised universal soil loss equation (RUSLE) and GIS methods
    Shrikant Maury
    Madhav Gholkar
    Ajit Jadhav
    Nilkanth Rane
    Environmental Earth Sciences, 2019, 78
  • [38] Geophysical evaluation of soils and soil loss estimation in a semiarid region of Maharashtra using revised universal soil loss equation (RUSLE) and GIS methods
    Maury, Shrikant
    Gholkar, Madhav
    Jadhav, Ajit
    Rane, Nilkanth
    ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (05)
  • [39] Spatial prediction and uncertainty analysis of topographic factors for the Revised Universal Soil Loss Equation (RUSLE)
    Wang, G
    Gertner, G
    Parysow, P
    Anderson, AB
    JOURNAL OF SOIL AND WATER CONSERVATION, 2000, 55 (03) : 374 - 384
  • [40] Assessment of LULC Change and Its Impact on Soil Erosion Using GIS and Revised Universal Soil Loss Equation Model
    Samsudin, Sarah Hanim
    Razad, Azwin Zailti Abdul
    Setu, Anita
    Ismail, Mohd Nadzari
    10TH IGRSM INTERNATIONAL CONFERENCE AND EXHIBITION ON GEOSPATIAL & REMOTE SENSING, 2020, 540