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Forests 2018, 9(9), 573; https://doi.org/10.3390/f9090573

Assessing the Spatial and Spatio-Temporal Distribution of Forest Species via Bayesian Hierarchical Modeling

1
Department of Statistics and Operational Research. University of Valencia. Faculty of Mathematics. C/Dr. Moliner, 50. Burjassot, 46100 Valencia, Spain
2
MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, St Mary’s Campus, Imperial College London, London SW7 2AZ, UK
*
Author to whom correspondence should be addressed.
Received: 2 August 2018 / Revised: 5 September 2018 / Accepted: 11 September 2018 / Published: 16 September 2018
(This article belongs to the Section Forest Ecology and Management)
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Abstract

Climatic change is expected to affect forest development in the short term, as well as the spatial distribution of species in the long term. Species distribution models are potentially useful tools for guiding species choices in reforestation and forest management prescriptions to address climate change. The aim of this study is to build spatial and spatio-temporal models to predict the distribution of four different species present in the Spanish Forest Inventory. We have compared the different models and showed how accounting for dependencies in space and time affect the relationship between species and environmental variables. View Full-Text
Keywords: hierarchical Bayesian models; stochastic partial differential equation; integrated nested laplace approximation; species distribution; spatial model; spatio-temporal model hierarchical Bayesian models; stochastic partial differential equation; integrated nested laplace approximation; species distribution; spatial model; spatio-temporal model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Rodríguez de Rivera, Ó.; López-Quílez, A.; Blangiardo, M. Assessing the Spatial and Spatio-Temporal Distribution of Forest Species via Bayesian Hierarchical Modeling. Forests 2018, 9, 573.

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