Spatial variability patterns of some Vertisol properties at a field scale using standardized data

Tarquis Alfonso, Ana Maria and Millán, Humberto and Pérez, Luis D. and Mato, Juan and González Posada, Mario (2012). Spatial variability patterns of some Vertisol properties at a field scale using standardized data. "Soil & Tillage Research", v. 120 (n. null); pp. 76-84. ISSN 0167-1987.

Description

Title: Spatial variability patterns of some Vertisol properties at a field scale using standardized data
Author/s:
  • Tarquis Alfonso, Ana Maria
  • Millán, Humberto
  • Pérez, Luis D.
  • Mato, Juan
  • González Posada, Mario
Item Type: Article
Título de Revista/Publicación: Soil & Tillage Research
Date: April 2012
Volume: 120
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Matemática Aplicada a la Ingeniería Agronómica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Spatial variability of Vertisol properties is relevant for identifying those zones with physical degradation. In this sense, one has to face the problem of identifying the origin and distribution of spatial variability patterns. The objectives of the present work were (i) to quantify the spatial structure of different physical properties collected from a Vertisol, (ii) to search for potential correlations between different spatial patterns and (iii) to identify relevant components through multivariate spatial analysis. The study was conducted on a Vertisol (Typic Hapludert) dedicated to sugarcane (Saccharum officinarum L.) production during the last sixty years. We used six soil properties collected from a squared grid (225 points) (penetrometer resistance (PR), total porosity, fragmentation dimension (Df), vertical electrical conductivity (ECv), horizontal electrical conductivity (ECh) and soil water content (WC)). All the original data sets were z-transformed before geostatistical analysis. Three different types of semivariogram models were necessary for fitting individual experimental semivariograms. This suggests the different natures of spatial variability patterns. Soil water content rendered the largest nugget effect (C0 = 0.933) while soil total porosity showed the largest range of spatial correlation (A = 43.92 m). The bivariate geostatistical analysis also rendered significant cross-semivariance between different paired soil properties. However, four different semivariogram models were required in that case. This indicates an underlying co-regionalization between different soil properties, which is of interest for delineating management zones within sugarcane fields. Cross-semivariograms showed larger correlation ranges than individual, univariate, semivariograms (A ≥ 29 m). All the findings were supported by multivariate spatial analysis, which showed the influence of soil tillage operations, harvesting machinery and irrigation water distribution on the status of the investigated area.

More information

Item ID: 15449
DC Identifier: http://oa.upm.es/15449/
OAI Identifier: oai:oa.upm.es:15449
Official URL: http://www.sciencedirect.com/science/article/pii/S0167198711002029
Deposited by: Memoria Investigacion
Deposited on: 04 Jun 2013 13:26
Last Modified: 21 Apr 2016 15:30
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