The algorithmic beauty of plants
The algorithmic beauty of plants
Mathematical Theory of L Systems
Mathematical Theory of L Systems
Plants, fractals, and formal languages
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Parametric l-systems and their application to the modelling and visualization of plants
Parametric l-systems and their application to the modelling and visualization of plants
Analytical study of a stochastic plant growth model: Application to the GreenLab model
Mathematics and Computers in Simulation
A Stochastic Language for Plant Topology
PMA '06 Proceedings of the 2006 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications
PMA '09 Proceedings of the 2009 Plant Growth Modeling, Simulation, Visualization, and Applications
PMA '09 Proceedings of the 2009 Plant Growth Modeling, Simulation, Visualization, and Applications
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Tree crown architecture affects light interception, biomass production and mechanical stability. Crown architecture is largely determined by the topological development of the plant due to meristem activity. Modeling approaches can provide new insights into the dynamics of plant topology, but they are often hampered by experimental difficulties in data collection on complex trees with numerous internodes, especially in tropical tree species that present the additional difficulty of continuous growth with no marked cessation. Tree topological structure shows high variability resulting from genotypic and environmental factors in real stands. In this paper, a stochastic model was developed to describe the topological development of trees. In the model, growth and branching processes are driven by the respective probabilities of activity, rest or death of apical and lateral buds. Because of its mathematical formulation, the model inversion can be done analytically - which is rare - and parameter values can be estimated from experimental data. A new strategy was defined to sample measurements and applied to five eucalyptus trees. Incomplete systems were also defined for the case, common with trees, of incomplete datasets. After parameter estimation, simulation of random eucalyptus tree was presented. The model could describe tree topological development of eucalyptus reasonably well. This work offers a simple and practical method to describe the topological development of trees with continuous growth. It can realistically and flexibly describe the canopy topological development, and has the potential to be integrated with the process of biomass production and allocation for functional-structural plant modeling in the future.