Spatial variability of soil physical attributes used for soil mapping in small headwater catchments of the southern Amazon

被引:13
|
作者
Novaes, Joao Paulo, Jr.
Couto, Eduardo Guimaraes
de Oliveira, Virlei Alvaro
Johnson, Mark S.
Lehmann, Johannes
Riha, Susan S.
机构
[1] Univ Fed Mato Grosso, Dept Solos & Extensao Rural, Cuiaba, MT, Brazil
[2] Fdn IBGE GO, Equipe Pedol, Goiania, Go, Brazil
[3] Univ Fed Goias, Programa Posgrad Agron, Goiania, Go, Brazil
[4] Cornell Univ, Projeto LBA, Ithaca, NY 14853 USA
[5] Cornell Univ, Dept Crop & Soil Sci, Ithaca, NY 14853 USA
来源
REVISTA BRASILEIRA DE CIENCIA DO SOLO | 2007年 / 31卷 / 01期
关键词
geostatistics; kriging; soil color; redness index; soil texture; landscape position;
D O I
10.1590/S0100-06832007000100010
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
The northwestern region of Mato Grosso State consists of complex landscapes due to ongoing geomorphologic activity that contributes to the occurrence of different soil classes over small distances, which complicates soil sampling strategies. This study was conducted in Juruena (MT), with the objective of identifying pedologic classes in undisturbed forested headwater catchments by examining the spatial variability of soil texture and color, and taking elevation and topographic position into consideration. The spatial variability of soil texture and color were determined for 185 georeferenced sample points from a 20 x 20 m grid over the four headwater catchments. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2(nd) category level of the Brazilian System of Soil Classification, associated with the topographic relief A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. The small headwater catchments contained the soil classes Plintossolos and Argissolos (of plinthic character) at altitudes below 280 m, and Latossolos at higher elevations. In this way, the use of geostatistics to map soil classes proved effective, as well as to estimate the precision of the resulting maps. Nevertheless, pedologic knowledge and a follow-up field validation of the resulting maps are necessary for an application as well as adjustments to the geostatistical models.
引用
收藏
页码:91 / 100
页数:10
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