Using pore space 3D geometrical modelling to simulate biological activity: Impact of soil structure

This study is the follow-up to a previous one devoted to soil pore space modelling. In the previous study, we proposed algorithms to represent soil pore space by means of optimal piecewise approximation using simple 3D geometrical primitives: balls, cylinders, cones, etc. In the present study, we use the ball-based piecewise approximation to simulate biological activity. The basic idea for modelling pore space consists in representing pore space using a minimal set of maximal balls (Delaunay spheres) recovering the shape skeleton. In this representation, each ball is considered as a maximal local cavity corresponding to the ''intuitive'' notion of a pore as described in the literature. The space segmentation induced by the network of balls (pores) is then used to spatialise biological dynamics. Organic matter and microbial decomposers are distributed within the balls (pores). A valuated graph representing the pore network, organic matter and microorganism distribution is then defined. Microbial soil organic matter decomposition is simulated by updating this valuated graph. The method has been implemented and tested on real data. As far as we know, this approach is the first one to formally link pore space geometry and biological dynamics. The long-term goal is to define geometrical typologies of pore space shape that can be attached to specific biological dynamic properties. This paper is a first attempt to achieve this goal.

[1]  J. Tiedje,et al.  A Two-Species Test of the Hypothesis That Spatial Isolation Influences Microbial Diversity in Soil , 2002, Microbial Ecology.

[2]  J. Six,et al.  Pore structure changes during decomposition of fresh residue: X-ray tomography analyses , 2006 .

[3]  Jean-Daniel Boissonnat,et al.  Stability and Computation of Medial Axes - a State-of-the-Art Report , 2009, Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration.

[4]  R. Glantz,et al.  Dual models of pore spaces , 2007 .

[5]  Gang Liu,et al.  Simulating the Gas Diffusion Coefficient in Macropore Network Images: Influence of Soil Pore Morphology , 2006 .

[6]  Olivier Monga,et al.  Representing geometric structures in 3D tomography soil images: Application to pore-space modeling , 2007, Comput. Geosci..

[7]  Sébastien Barot,et al.  Size and functional diversity of microbe populations control plant persistence and long‐term soil carbon accumulation , 2005 .

[8]  F. Chazal,et al.  The λ-medial axis , 2005 .

[9]  S. Recous,et al.  Decomposition of wheat straw and rye residues as affected by particle size , 1997, Plant and Soil.

[10]  A. Brauman,et al.  MIOR: an individual‐based model for simulating the spatial patterns of soil organic matter microbial decomposition , 2007 .

[11]  Frédéric Chazal,et al.  The "lambda-medial axis" , 2005, Graph. Model..

[12]  W. B. Lindquist,et al.  Investigating 3D geometry of porous media from high resolution images , 1999 .

[13]  J. Tiedje,et al.  Denitrification in soil aggregates analyzed with microsensors for nitrous oxide and oxygen , 1994 .

[14]  Pascal Frey,et al.  MEDIT : An interactive Mesh visualization Software , 2001 .

[15]  Rainer Horn,et al.  Three-dimensional quantification of intra-aggregate pore-space features using synchrotron-radiation-based microtomography , 2008 .

[16]  Felix Beckmann,et al.  New developments in attenuation and phase-contrast microtomography using synchrotron radiation with low and high photon energies , 1999, Optics & Photonics.

[17]  Edith Perrier,et al.  DXSoil, a library for 3D image analysis in soil science , 2002 .

[18]  Donald Ervin Knuth,et al.  The Art of Computer Programming , 1968 .

[19]  R. Al-Raoush,et al.  Extraction of physically realistic pore network properties from three-dimensional synchrotron X-ray microtomography images of unconsolidated porous media systems , 2005 .

[20]  Felix Beckmann,et al.  Neutron and synchrotron radiation tomography: New tools for materials science at the GKSS-Research Center , 2005 .

[21]  Bernd Hamann,et al.  Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration , 2009, Mathematics and Visualization.

[22]  J. Crawford,et al.  Spatial distribution of bacterial communities and their relationships with the micro-architecture of soil. , 2003, FEMS microbiology ecology.

[23]  A. Capillon,et al.  Water movement and stability of profiles in drained, clayey and swelling soils: at saturation, the structural stability determines the profile porosity , 2000 .

[24]  Hans-Jörg Vogel,et al.  Quantitative morphology and network representation of soil pore structure , 2001 .

[25]  Bruno Mary,et al.  Modelling carbon and nitrogen dynamics in a bare soil with and without straw incorporation , 2003 .

[26]  Mariette Yvinec,et al.  Algorithmic geometry , 1998 .

[27]  Roel Merckx,et al.  Spatial location of carbon decomposition in the soil pore system , 2004 .

[28]  R. Ketcham,et al.  Acquisition, optimization and interpretation of X-ray computed tomographic imagery: applications to the geosciences , 2001 .

[29]  G. Pérès Identification et quantification in situ des interactions entre la diversité lombricienne et la macro-bioporosité dans le contexte polyculture breton. , 2003 .