Nom du corpus

Corpus Systématique Végétale

Titre du document

Biodiversity patterns from an individual-based competition model on niche and physicalspaces

Lien vers le document
Éditeur
IOP
Langue(s) du document
Anglais
Type de document
Research-article
Mots-clés d'auteur
  • pattern formation (theory)
  • population dynamics (theory)
  • population dynamics (experiment)
  • interacting agent models
Nom du fichier dans la ressource
Syst_veg6_v2_001776
Auteur(s)
  • H Fort 1
  • P Inchausti 2
Affiliation(s)
  • 1) Complex Systems Group, Instituto de Fsica, Facultad de Ciencias, Universidad de la Repblica, Igu 4225, 11400 Montevideo, Uruguay
  • 2) C.U.R.E., Universidad de la Repblica, Burnett c/ Chiossi, Maldonado, Uruguay
Résumé

We formulate a microscopic (individual-based and spatially explicit) ecological model toassess whether key patterns of community structure, species-packing and the spatialdistribution of species are robust to relaxing the mean-field approximation made in classicalecological models. In this model of community dynamics species compete both locally inphysical space and along a niche axis and it includes just two free parameters,, controlling the extent of competition in niche space, andt, the simulation time. This minimalistic model (1)reproduces with considerable accuracythe dynamic sequence of relative species abundances, biodiversity indices and speciesarearelationships that are empirically found in censuses of trees in a well-studied tropical forest;(2)shows that the clumpy pattern of niches leading to long-lasting species coexistenceobtained by classical competition models is robust to relaxing the mean-field assumption.Nevertheless species that are clumped in niche space are simultaneously spatiallysegregated.

Catégories INIST
  • 1 - sciences appliquees, technologies et medecines
  • 2 - sciences biologiques et medicales
  • 3 - sciences biologiques fondamentales et appliquees. psychologie
  • 4 - immunologie fondamentale
Catégories Scopus
  • 1 - Social Sciences ; 2 - Decision Sciences ; 3 - Statistics, Probability and Uncertainty
  • 1 - Physical Sciences ; 2 - Mathematics ; 3 - Statistics and Probability
  • 1 - Physical Sciences ; 2 - Physics and Astronomy ; 3 - Statistical and Nonlinear Physics
Catégories WoS
  • 1 - science ; 2 - physics, mathematical
  • 1 - science ; 2 - mechanics
Identifiant ISTEX
4FB29F1ABCBB1751C9E71DF0EAD209E0BD64B893
Revue

Journal of Statistical Mechanics: Theory and Experiment

Année de publication
2012
Présence de XML structuré
Oui
Score qualité du texte
8.584
Version PDF
1.4
Type de publication
Journal
ark:/67375/0T8-HFM6DTH5-X
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