Community Structurein Soil Porous System.

Cardenas Villalobos, Juan Pablo and Santiago Andrés, Antonio and Tarquis Alfonso, Ana Maria and Losada González, Juan Carlos and Borondo Rodríguez, Florentino and Benito Zafrilla, Rosa Maria (2012). Community Structurein Soil Porous System.. "Soil Science", v. 177 (n. 2); pp. 81-87. ISSN 0038-075X.


Title: Community Structurein Soil Porous System.
  • Cardenas Villalobos, Juan Pablo
  • Santiago Andrés, Antonio
  • Tarquis Alfonso, Ana Maria
  • Losada González, Juan Carlos
  • Borondo Rodríguez, Florentino
  • Benito Zafrilla, Rosa Maria
Item Type: Article
Título de Revista/Publicación: Soil Science
Date: February 2012
ISSN: 0038-075X
Volume: 177
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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Soil is well recognized as a highly complex system. The interaction and coupled physical, chemical, and biological processes and phenomena occurring in the soil environment at different spatial and temporal scales are the main reasons for such complexity. There is a need for appropriate methodologies to characterize soil porous systems with an interdisciplinary character.
Four different real soil samples, presenting different textures, have been modeled as heterogeneous complex networks, applying a model known as the heterogeneous preferential attachment. An analytical study of the degree distributions in the soil model shows a multiscaling behavior in the connectivity degrees, leaving an empirically testable signature of heterogeneity in the topology of soil pore networks. We also show that the power-law scaling in the degree distribution is a robust trait of the soil model.
Last, the detection of spatial pore communities, as densely connected groups with only sparser connections between them, has been studied for the first time in these soil networks. Our results show that the presence of these communities depends on the parameter values used to construct the network. These findings could contribute to understanding the mechanisms of the diffusion phenomena in soils, such as gas and water diffusion, development and dynamics of microorganisms, among others.

More information

Item ID: 15445
DC Identifier:
OAI Identifier:
DOI: 10.1097/SS.0b013e318245d3ec
Official URL:
Deposited by: Memoria Investigacion
Deposited on: 19 Feb 2014 15:39
Last Modified: 21 Apr 2016 15:30
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