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.
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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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