Memorias de investigación
Artículos en revistas:
Multiscale entropy-based analyses of soil transect data
Año:2008

Áreas de investigación
  • Matemáticas,
  • Química,
  • Agricultura,
  • Procesado y análisis de la señal

Datos
Descripción
A deeper understanding of the spatial variability of soil properties and the relationships between them is needed to scale up measured soil properties and to model soil processes. The object of this study was to describe the spatial scaling properties of a set of soil physical properties measured on a common 1024-m transect across arable fields at Silsoe in Bedfordshire, east-central England. Properties studied were volumetric water content ({theta}), total porosity ({pi}), pH, and N2O flux. We applied entropy as a means of quantifying the scaling behavior of each transect. Finally, we examined the spatial intrascaling behavior of the correlations between {theta} and the other soil variables. Relative entropies and increments in relative entropy calculated for {theta}, {pi}, and pH showed maximum structure at the 128-m scale, while N2O flux presented a more complex scale dependency at large and small scales. The intrascale-dependent correlation between {theta} and {pi} was negative at small scales up to 8 m. The rest of the intrascale-dependent correlation functions between {theta} with N2O fluxes and pH were in agreement with previous studies. These techniques allow research on scale effects localized in scale and provide the information that is complementary to the information about scale dependencies found across a range of scales
Internacional
Si
JCR del ISI
Si
Título de la revista
VADOSE ZONE JOURNAL
ISSN
1539-1663
Factor de impacto JCR
1,355
Información de impacto
Volumen
7
DOI
Número de revista
2
Desde la página
563
Hasta la página
569
Mes
ENERO
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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Química y Análisis Agrícola
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
  • Grupo de Investigación: Contaminación de agroecosistemas por las prácticas agrícolas