Spatial variability of the soil erodibility parameters and their relation with the soil map at subgroup level

被引:51
作者
Perez-Rodriguez, Raquel
Marques, Maria Jose
Bienes, Ramon
机构
[1] IMIDRA, Dept Rural Dev Res, Alcala De Henares 28800, Madrid, Spain
[2] Univ Alcala de Henares, Dept Geol, Madrid, Spain
关键词
erodibility; geostatistics; spatial variability; soil taxonomy;
D O I
10.1016/j.scitotenv.2007.01.044
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This project takes a look at the variation of the parameters related to soil erodibility (fractions of clay, silt, fine and coarse sand; organic matter, permeability, and structure) coming from soil pits from the Community of Madrid's soil map (Spain), according to Soil Taxonomy at subgroup level. It draws the conclusion that map erodibility shouldn't be estimated from a soil map because the K factor obtained does not present significant differences among the different types of soil. One or more key factors related with soil erodibility must be taken into account if erodibility maps are to be drawn. This research has shown that silt and structure could be considered key factors for erodibility maps of the area, but not significant differences have been found in important factors such as clay or organic matter due to the wide range of data variance. In order to elaborate erosion risk maps the use of the K factor from the physiographical map is a good alternative. When data are grouped according to these criteria significant differences in K factor are shown. Erodibility was greater in soils developed over gypsic material, with a value of 0.63 +/- 0.28, than in high plateaus (locally know as alcarrias), with a value of 0.40 +/- 0.18. In order to adequately represent soil erodibility, a kriging geostatistic technique is used, which reduces the variation of the factors considered when they are found to correlate, as is the case with the parameters considered to calculate K factor. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:166 / 173
页数:8
相关论文
共 33 条
[11]   Geostatistical tools for characterizing the spatial variability of microbiological and physico-chemical soil properties [J].
Goovaerts, P .
BIOLOGY AND FERTILITY OF SOILS, 1998, 27 (04) :315-334
[12]  
Goovaerts P, 1997, Geostatistics for natural resources evaluation
[13]  
Igwe C. A., 1995, International Agrophysics, V9, P95
[14]  
Isaaks EH., 1989, Applied Geostatistics
[15]  
Krige D. G., 1966, Joumd of the South Africun Institute of Mining and Metallurgy, P13
[16]  
Laflen JM, 1994, Soil Erosion Research Methods, V2, P105
[17]  
Mati B.M., 2000, InternationalJournal of Applied Earth Observation and Geoinformation, V2, P78, DOI DOI 10.1016/S0303-2434(00)85002-3
[18]  
Morgan R.P.C., 1995, SOIL EROSION CONSERV
[19]  
Navas A., 1990, Land Degradation & Rehabilitation, V2, P117, DOI 10.1002/ldr.3400020206
[20]  
Parysow P, 2001, J SOIL WATER CONSERV, V56, P207