Mixture of inhomogeneous matrix models for species-rich ecosystems

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.

Bibliographic Details

Main Authors:	Mortier, Frédéric, Ouédraogo, Dakis-Yaoba, Claeys, Florian, Tadesse, Mahlet G., Cornu, Guillaume, Baya, Fidèle, Bénédet, Fabrice, Freycon, Vincent, Gourlet-Fleury, Sylvie, Picard, Nicolas
Format:	article biblioteca
Language:	eng
Subjects:	U10 - Informatique, mathématiques et statistiques, F62 - Physiologie végétale - Croissance et développement, F40 - Écologie végétale, K01 - Foresterie - Considérations générales, forêt tropicale humide, écologie forestière, composition botanique, biodiversité, dynamique des populations, croissance, régénération naturelle, mortalité, méthode statistique, modèle mathématique, modèle de simulation, http://aims.fao.org/aos/agrovoc/c_7976, http://aims.fao.org/aos/agrovoc/c_3044, http://aims.fao.org/aos/agrovoc/c_15945, http://aims.fao.org/aos/agrovoc/c_33949, http://aims.fao.org/aos/agrovoc/c_6111, http://aims.fao.org/aos/agrovoc/c_3394, http://aims.fao.org/aos/agrovoc/c_5090, http://aims.fao.org/aos/agrovoc/c_4945, http://aims.fao.org/aos/agrovoc/c_7377, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_1433,
Online Access:	http://agritrop.cirad.fr/574764/ http://agritrop.cirad.fr/574764/1/document_574764.pdf
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