IDENTIFICATION OF AGRONOMIC MANAGEMENT UNITS BASED ON PHYSICAL ATTRIBUTES OF SOIL

被引:10
作者
Cucunuba-Melo, J. L. [2 ]
Alvarez-Herrera, J. G. [1 ]
Camacho-Tamayo, J. H. [3 ]
机构
[1] Univ Pedag & Tecnol Colombia, GIA, Fac Ciencias Agropecuarias, Tunja, Colombia
[2] PALMACEITE SA, Aracataca Magdalena, Colombia
[3] Univ Nacl Colombia, Programa Ingn Agr, Fac Ingn, Bogota, Colombia
关键词
geoestatistics; semivariogram; kriging; precision farming; Elaeis guineensis Jacq; SPATIAL VARIABILITY; COASTAL-PLAIN; MODELS;
D O I
10.4067/S0718-95162011000100008
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Oil palm (Elaeis guineensis Jacq) is an alternative for the development of productive systems in the tropics. By determining the spatial variability of physical characteristics of soil, specific recommendations for certain areas within a zone can be made. Geostatistical analysis can determine the existence and characteristics of the spatial distribution and is an appropriate tool for analyzing the spatial variability of soil properties. The aim of this study was to determine areas with homogeneous physical characteristics in order to establish agricultural management units, using geostatistical techniques. For this study, 62 samples were collected in 10.6 ha in the municipality of El Reten (Magdalena, Colombia). The properties analyzed were: content of sand, silt and clay, particle density, bulk density, total porosity, gravimetric and volumetric water content, hydraulic conductivity and infiltration rate. All properties showed spatial correlation, with adjustments to semivariograms theoretical models, mostly to the spherical model, with ranges between 84.87 and 218.60 m and moderate to strong spatial dependence. The contour maps obtained through ordinary kriging, allowed for the identification of the relationship between the different physical properties of the soil and subsequent classification to determine the Agronomic Management Units (AMU).
引用
收藏
页码:87 / 99
页数:13
相关论文
共 30 条
[1]   Short-range spatial variability of metal contents in soil on a one hectare agricultural plot [J].
Arrouays, D ;
Martin, S ;
Lepretre, A ;
Bourennane, H .
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2000, 31 (3-4) :387-400
[2]  
Bohn H. L., 1979, Soil Chemistry.
[3]  
Burrough P. A., 1998, Principles of geographical information systems
[4]  
Camacho-Tamayo JH, 2008, CHIL J AGR RES, V68, P42, DOI 10.4067/S0718-58392008000100005
[5]   FIELD-SCALE VARIABILITY OF SOIL PROPERTIES IN CENTRAL IOWA SOILS [J].
CAMBARDELLA, CA ;
MOORMAN, TB ;
NOVAK, JM ;
PARKIN, TB ;
KARLEN, DL ;
TURCO, RF ;
KONOPKA, AE .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 1994, 58 (05) :1501-1511
[6]  
Cressie N., 1993, Statistics for Spatial Data, DOI [10.1002/9781119115151, DOI 10.1002/9781119115151]
[7]   Conceptual and mathematical relationships among methods for spatial analysis [J].
Dale, MRT ;
Dixon, P ;
Fortin, MJ ;
Legendre, P ;
Myers, DE ;
Rosenberg, MS .
ECOGRAPHY, 2002, 25 (05) :558-577
[8]  
Diggle P.J., 2000, MODEL BASED GEOSTATI
[9]  
Dörner J, 2009, REV CIENC SUELO NUTR, V9, P190
[10]   Spatial variability of Southeastern US Coastal Plain soil physical properties: Implications for site-specific management [J].
Duffera, Miressa ;
White, Jeffrey G. ;
Weisz, Randy .
GEODERMA, 2007, 137 (3-4) :327-339