article

Competition and evolution in virtual plant communities: a new modeling approach

Authors:

Stefan Bornhofen,

Claude LattaudAuthors Info & Claims

Natural Computing: an international journal, Volume 8, Issue 2

Pages 349 - 385

https://doi.org/10.1007/s11047-008-9089-5

Published: 01 June 2009 Publication History

Abstract

This article presents studies on plants and their communities through experiments with a multi-agent platform of generic virtual plants. Based on Artificial Life concepts, the model has been designed for long-term simulations spanning a large number of generations while emphasizing the most important morphological and physiological aspects of a single plant. The virtual plants combine a physiological transport-resistance model with a morphological model using the L-system formalism and grow in a simplified 3D artificial ecosystem. Experiments at three different scales are carried out and compared to observations on real plant species. At the individual level, single virtual plants are grown in order to examine their responses to environmental constraints. A number of emerging characteristics concerning individual plant growth can be observed. Unifying field observation, mathematical theory and computer simulation, population level experiments on intraspecific and interspecific competition for resources are related to corresponding aggregate models of population dynamics. The latter provide a more general understanding of the experiments with respect to long-term trends and equilibrium conditions. Studies at the evolutionary level aim at morphogenesis and the influence of competition on plant morphology. Among other results, it is shown how the struggle for resources induces an arms race that leads to the evolution of elongated growth in contrast to rather ample forms at ground-level when the plants evolve in isolation.

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Talle JKosinka J(2020)Evolving L-Systems in a Competitive EnvironmentAdvances in Computer Graphics10.1007/978-3-030-61864-3_28(326-350)Online publication date: 20-Oct-2020
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cover image Natural Computing: an international journal

Natural Computing: an international journal Volume 8, Issue 2

June 2009

226 pages

ISSN:1567-7818

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Kapp KGain JGuérin EGalin EPeytavie A(2020)Data-driven authoring of large-scale ecosystemsACM Transactions on Graphics10.1145/3414685.341784839:6(1-14)Online publication date: 27-Nov-2020
https://dl.acm.org/doi/10.1145/3414685.3417848
Talle JKosinka J(2020)Evolving L-Systems in a Competitive EnvironmentAdvances in Computer Graphics10.1007/978-3-030-61864-3_28(326-350)Online publication date: 20-Oct-2020
https://dl.acm.org/doi/10.1007/978-3-030-61864-3_28
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https://dl.acm.org/doi/10.1145/3144456
Gain JLong HCordonnier GCani M(2017)EcoBrushComputer Graphics Forum10.5555/3128975.312898336:2(63-73)Online publication date: 1-May-2017
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Kohek ŠStrnad D(2015)Interactive synthesis of self-organizing tree models on the GPUComputing10.1007/s00607-014-0424-797:2(145-169)Online publication date: 1-Feb-2015
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Fernández JLobo DMartn GDoursat RVico F(2012)Emergent diversity in an open-ended evolving virtual communityArtificial Life10.1162/artl_a_0005918:2(199-222)Online publication date: 1-Apr-2012
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Palubicki WHorel KLongay SRunions ALane BMěch RPrusinkiewicz PFunkhouser T(2009)Self-organizing tree models for image synthesisACM SIGGRAPH 2009 papers10.1145/1576246.1531364(1-10)Online publication date: 27-Jul-2009
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Palubicki WHorel KLongay SRunions ALane BMěch RPrusinkiewicz P(2009)Self-organizing tree models for image synthesisACM Transactions on Graphics10.1145/1531326.153136428:3(1-10)Online publication date: 27-Jul-2009
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