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

Tarquis Alfonso, Ana Maria; Millán, Humberto; Pérez, Luis D.; Mato, Juan y 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.

Descripción

Título: Spatial variability patterns of some Vertisol properties at a field scale using standardized data
Autor/es:
  • Tarquis Alfonso, Ana Maria
  • Millán, Humberto
  • Pérez, Luis D.
  • Mato, Juan
  • González Posada, Mario
Tipo de Documento: Artículo
Título de Revista/Publicación: Soil & Tillage Research
Fecha: Abril 2012
Volumen: 120
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Matemática Aplicada a la Ingeniería Agronómica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 15449
Identificador DC: http://oa.upm.es/15449/
Identificador OAI: oai:oa.upm.es:15449
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0167198711002029
Depositado por: Memoria Investigacion
Depositado el: 04 Jun 2013 13:26
Ultima Modificación: 21 Abr 2016 15:30
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