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Autocorrelation offsets zero-inflation in models of tropical saplings density

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  • Flores, O.
  • Rossi, V.
  • Mortier, F.

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.

Suggested Citation

  • Flores, O. & Rossi, V. & Mortier, F., 2009. "Autocorrelation offsets zero-inflation in models of tropical saplings density," Ecological Modelling, Elsevier, vol. 220(15), pages 1797-1809.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:15:p:1797-1809
    DOI: 10.1016/j.ecolmodel.2009.01.030
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    References listed on IDEAS

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    1. Miller, Jennifer & Franklin, Janet & Aspinall, Richard, 2007. "Incorporating spatial dependence in predictive vegetation models," Ecological Modelling, Elsevier, vol. 202(3), pages 225-242.
    2. Angers, Jean-Francois & Biswas, Atanu, 2003. "A Bayesian analysis of zero-inflated generalized Poisson model," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 37-46, February.
    3. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    4. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
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