Imperial College London
Alternate

ProfessorMartaBlangiardo

Faculty of Medicine, School of Public Health

Chair in Biostatistics
 
 
 
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Contact

 

m.blangiardo Website

 
 
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Location

 

705School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rodríguez:2018:10.3390/f9090573,
author = {Rodríguez, de Rivera O and López-Quílez, A and Blangiardo, MAG},
doi = {10.3390/f9090573},
journal = {Forests},
title = {Assessing the spatial and spatio-temporal distribution of forest species via bayesian hierarchical modeling},
url = {http://dx.doi.org/10.3390/f9090573},
volume = {9},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Rodríguez,de Rivera O
AU  - López-Quílez,A
AU  - Blangiardo,MAG
DO  - 10.3390/f9090573
PY  - 2018///
SN  - 1999-4907
TI  - Assessing the spatial and spatio-temporal distribution of forest species via bayesian hierarchical modeling
T2  - Forests
UR  - http://dx.doi.org/10.3390/f9090573
UR  - http://hdl.handle.net/10044/1/64692
VL  - 9
ER  -
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