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Mixture of inhomogeneous matrix models for species-rich ecosystems
- Source :
- Environmetrics, Environmetrics, Wiley, 2015, 26 (1), pp.39-51. ⟨10.1002/env.2320⟩, Environmetrics 1 (26), 39-51. (2015)
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- Understanding how environmental factors could impact population dynamics is of primary importance for species conservation. Matrix population models are widely used to predict population dynamics. However, in species-rich ecosystems with many rare species, the small population sizes hinder a good fit of species-specific models. In addition, classical matrix models do not take into account environmental variability. We propose a mixture of regression models with variable selection allowing the simultaneous clustering of species into groups according to vital rate information (recruitment, growth and mortality) and the identification of group-specific explicative environmental variables. We develop an inference method coupling the R packages flexmix and glmnet. We first highlight the effectiveness of the method on simulated datasets. Next, we apply it to data from a tropical rain forest in the Central African Republic. We demonstrate the accuracy of the inhomogeneous mixture matrix model in successfully reproducing stand dynamics and classifying tree species into well-differentiated groups with clear ecological interpretations. Copyright (c) 2014 John Wiley & Sons, Ltd.
- Subjects :
- DYNAMICS
F40 - Écologie végétale
[SDV]Life Sciences [q-bio]
F62 - Physiologie végétale - Croissance et développement
Mortalité
POPULATION-MODELS
CO2-INDUCED CLIMATE-CHANGE
mixture models
lasso selection
species-rich ecosystems
usher models
TROPICAL RAIN-FORESTS
VARIABLE SELECTION
REGRESSION-MODELS
FUNCTIONAL-GROUPS
FINITE MIXTURES
GAP MODEL
GROWTH
Écologie forestière
K01 - Foresterie - Considérations générales
Dynamique des populations
Forêt tropicale humide
Croissance
Méthode statistique
U10 - Informatique, mathématiques et statistiques
Composition botanique
Modèle de simulation
Régénération naturelle
Biodiversité
Modèle mathématique
Subjects
Details
- Language :
- English
- ISSN :
- 11804009 and 1099095X
- Database :
- OpenAIRE
- Journal :
- Environmetrics, Environmetrics, Wiley, 2015, 26 (1), pp.39-51. ⟨10.1002/env.2320⟩, Environmetrics 1 (26), 39-51. (2015)
- Accession number :
- edsair.dedup.wf.001..52f07463b984a31029a7de1801f42bfc