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Autocorrelation offsets zero-inflation in models of tropical saplings density |
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| Authors: | O. Flores V. Rossi F. Mortier |
| Affiliation: | 1. Centre d’Écologie Fonctionnelle et Évolutive, CNRS – UMR 5175, 1919, route de Mende, 34293 Montpellier Cedex 5, France;2. CIRAD - UPR Génétique forestière, TA 10/C, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France;3. CIRAD - UPR Dynamique des forêts naturelles, TA 10/D, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France |
| Abstract: | Modelling the local density of tropical saplings can provide insights into the ecological processes that drive species regeneration and thereby help predict population recovery after disturbance. Yet, few studies have addressed the challenging issues in autocorrelation and zero-inflation of local density. This paper presents Hierarchical Bayesian Modelling (HBM) of sapling density that includes these two features. Special attention is devoted to variable selection, model estimation and comparison. |
| Keywords: | Hierarchical Bayesian Modelling Conditional Auto-Regressive model Variable selection Zero-Inflated Poisson Posterior predictive Paracou French Guiana |
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