Simulation of carbon-based model for virtual plants as complex adaptive system

Abstract This research presented a teleonomic-based simulation approach to virtual plants integrating the technology of intelligent agent as well as the knowledge of plant physiology and morphology. Plant is represented as the individual metamers and root agents with both functional and geometrical structure. The development of plant is achieved by the flush growth of metamer and root agents controlled by their internal physiological status and external environment. The eggplant based simulation results show that simple rules and actions (internal carbon allocation among organs, dynamic carbon reserve/mobilization, carbon transport in parallel using a discrete pressure-flow paradigm and child agent position choosing for maximum light interception, etc.) executed by agents can cause the complex adaptive behaviors on the whole plant level: carbon partitioning among metamers and roots, carbon reserve dynamics, architecture and biomass adaptation to environmental heterogeneity and the phototropism, etc. This phenomenon manifest that the virtual plant simulated in presented approach can be viewed as a complex adaptive system.

[1]  Paul C. Struik,et al.  Functional-Structural Plant Modelling in Crop Production , 2007 .

[2]  Qingsheng Zhu,et al.  An Intelligent Learning Approach to L-Grammar Extraction from Image Sequences of Real Plants , 2009, Int. J. Artif. Intell. Tools.

[3]  Hervé Rey,et al.  Modelling and simulation of the architecture and development of the oil-palm (t Elaeis guineensis Jacq.) root system , 1997, Plant and Soil.

[4]  F. Schieving,et al.  Performance of trees in forest canopies: explorations with a bottom-up functional-structural plant growth model. , 2005, The New phytologist.

[5]  Annikki Mäkelä,et al.  A carbon balance model of growth and self-pruning in trees based on structural relationships , 1997 .

[6]  Przemyslaw Prusinkiewicz,et al.  The L-system-based plant-modeling environment L-studio 4.0 , 2004 .

[7]  Philippe de Reffye,et al.  Simulation of the growth of plants. Modeling of metamorphosis and spatial interactions in the architecture and development of plants , 1998 .

[8]  André Lacointe,et al.  Modelling phloem and xylem transport within a complex architecture. , 2008, Functional plant biology : FPB.

[9]  Harold Abelson,et al.  Turtle geometry : the computer as a medium for exploring mathematics , 1983 .

[10]  Winfried Kurth,et al.  Die Simulation der Baumarchitektur mit Wachstumsgrammatiken , 1999 .

[11]  C. Eschenbach,et al.  Emergent properties modelled with the functional structural tree growth model ALMIS: Computer experiments on resource gain and use , 2005 .

[12]  M. Westoby,et al.  ECOLOGICAL STRATEGIES : Some Leading Dimensions of Variation Between Species , 2002 .

[13]  P. de Reffye,et al.  A dynamic, architectural plant model simulating resource-dependent growth. , 2004, Annals of botany.

[14]  A. Bradshaw,et al.  Unravelling phenotypic plasticity -- why should we bother? , 2006, The New phytologist.

[15]  Ep Heuvelink,et al.  Concepts of modelling carbon allocation among plant organs , 2007 .

[16]  Andrew Paul Gutierrez,et al.  A demographic model of assimilation and allocation of carbon and nitrogen in grapevines , 1991 .

[17]  M. Michalewicz Plants to ecosystems: advances in computational life sciences , 1997 .

[18]  F. Houllier,et al.  Prediction of stem profile of Picea abies using a process-based tree growth model. , 1995, Tree physiology.

[19]  Bao-Gang Hu,et al.  Relevant qualitative and quantitative choices for building an efficient dynamic plant growth model : GreenLab case , 2003 .

[20]  Christophe Godin,et al.  A Method for Describing Plant Architecture which Integrates Topology and Geometry , 1999 .

[21]  Jean Dauzat,et al.  Using virtual plants to analyse the light-foraging efficiency of a low-density cotton crop. , 2007, Annals of botany.

[22]  Brendan Lane,et al.  The L+C Plant-Modelling Language , 2007 .

[23]  B. Scheres,et al.  Cell fate in the Arabidopsis root meristem determined by directional signalling , 1995, Nature.

[24]  Przemyslaw Prusinkiewicz,et al.  Design and Implementation of the L+C Modeling Language , 2003, RULE@RDP.

[25]  J. Amthor The McCree-de Wit-Penning de Vries-Thornley Respiration Paradigms: 30 Years Later , 2000 .

[26]  Steven F. Railsback,et al.  Concepts from complex adaptive systems as a framework for individual-based modelling , 2001 .

[27]  J. Hanan,et al.  Module and metamer dynamics and virtual plants , 1994 .

[28]  Przemyslaw Prusinkiewicz,et al.  L-systems: from the Theory to Visual Models of Plants , 2001 .

[29]  Godin,et al.  A multiscale model of plant topological structures , 1998, Journal of theoretical biology.

[30]  C. Wright,et al.  2 – INTERACTIONS BETWEEN VEGETATIVE AND REPRODUCTIVE GROWTH , 1989 .

[31]  Przemyslaw Prusinkiewicz A look at the visual modeling of plants using L-systems , 1999 .

[32]  P. Cruiziat,et al.  STORAGE AND MOBILIZATION OF CARBON RESERVES IN WALNUT AND ITS CONSEQUENCES ON THE WATER STATUS DURING WINTER , 1993 .

[33]  Zhao Xing Simulation of Inflorescences Using Dual-Scale Automaton Model , 2003 .

[34]  N. Holbrook,et al.  Application of a single-solute non-steady-state phloem model to the study of long-distance assimilate transport. , 2003, Journal of theoretical biology.

[35]  B. Andrieu,et al.  Modelling the light environment of virtual crop canopies , 2007 .

[36]  Gerhard Buck-Sorlin,et al.  GroIMP as a platform for functional-structural modelling of plants , 2007 .

[37]  Loïc Pagès,et al.  Root system architecture: from its representation to the study of its elaboration , 1999 .

[38]  Ole Kniemeyer,et al.  Relational Growth Grammars - A Graph Rewriting Approach to Dynamical Systems with a Dynamical Structure , 2004, UPP.

[39]  I. F. Wardlaw,et al.  Tansley Review No. 27 The control of carbon partitioning in plants. , 1990, The New phytologist.

[40]  Uta Berger,et al.  Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology , 2005, Science.

[41]  J. Amthor,et al.  The role of maintenance respiration in plant growth , 1984 .

[42]  D. Barthélémy,et al.  Plant architecture: a dynamic, multilevel and comprehensive approach to plant form, structure and ontogeny. , 2007, Annals of botany.

[43]  Gerhard Buck-Sorlin,et al.  The rule-based language XL and the modelling environment GroIMP illustrated with simulated tree competition. , 2008, Functional plant biology : FPB.

[44]  Feike Schieving,et al.  3-D GROWTH PATTERNS OF TREES: EFFECTS OF CARBON ECONOMY, MERISTEM ACTIVITY, AND SELECTION , 2007 .

[45]  Qingsheng Zhu,et al.  Modelling and Constructing of Intelligent Physiological Engine Merging Artificial Life for Virtual Plants , 2007 .

[46]  Philippe de Reffye,et al.  A functional model of tree growth and tree architecture , 1997 .

[47]  Abraham J. Escobar-Gutiérrez,et al.  Carbon-based models of individual tree growth: A critical appraisal , 2001 .

[48]  Escobar-Gutierrez,et al.  Modelling of allocation and balance of carbon in walnut (Juglans regia L.) seedlings during heterotrophy-autotrophy transition , 1998, Journal of theoretical biology.

[49]  Jasmin Smajic,et al.  Numerical Optimization of Photonic Crystal Structures , 2007 .

[50]  J. Thornley,et al.  A Transport-resistance Model of Forest Growth and Partitioning , 1991 .

[51]  R. Hunt,et al.  Resource dynamics and plant growth: a self‐assembling model for individuals, populations and communities , 1997 .

[52]  R. Hunt,et al.  A self‐assembling model of resource dynamics and plant growth incorporating plant functional types , 2001 .

[53]  Stefan Bornhofen,et al.  Competition and evolution in virtual plant communities: a new modeling approach , 2009, Natural Computing.

[54]  Christophe Godin,et al.  Functional-structural plant modelling. , 2005, The New phytologist.

[55]  B. Breckling,et al.  Emergent properties in individual-based ecological models—introducing case studies in an ecosystem research context , 2005 .

[56]  D. Barthélémy,et al.  Computing competition for light in the GREENLAB model of plant growth: a contribution to the study of the effects of density on resource acquisition and architectural development. , 2007, Annals of botany.

[57]  Hartmut Stützel,et al.  Modelling leaf phototropism in a cucumber canopy. , 2008, Functional plant biology : FPB.

[58]  A. Lindenmayer Mathematical models for cellular interactions in development. I. Filaments with one-sided inputs. , 1968, Journal of theoretical biology.

[59]  M. R. Thorpe,et al.  A Simple Mechanistic Model of Phloem Transport which Explains Sink Priority , 1993 .

[60]  P. Prusinkiewicz,et al.  Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model. , 2005, The New phytologist.

[61]  Steven E. Wallis Emerging order in CAS theory: mapping some perspectives , 2008, Kybernetes.

[62]  P. de Reffye,et al.  A model simulating above- and below-ground tree architecture with agroforestry applications , 1995, Agroforestry Systems.

[63]  Pertti Hari,et al.  Stand growth model based on carbon uptake and allocation in individual trees , 1986 .