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

Óscar Rodríguez de Rivera / Antonio López-Quílez / Marta Blangiardo

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.

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

Óscar Rodríguez de Rivera / Antonio López-Quílez / Marta Blangiardo

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.

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

Óscar Rodríguez de Rivera / Antonio López-Quílez / Marta Blangiardo

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.

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Titel:

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

Beteiligte:

Óscar Rodríguez de Rivera (Autor:in) / Antonio López-Quílez (Autor:in) / Marta Blangiardo (Autor:in)

Erschienen in:

Forests, Vol 9, Iss 9, p 573 (2018)

Erscheinungsdatum:

2018

ISSN:

DOI:

https://doi.org/10.3390/f9090573

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Unbekannt

Schlagwörter:

hierarchical Bayesian models , stochastic partial differential equation , integrated nested laplace approximation , species distribution , spatial model , spatio-temporal model , Plant ecology , QK900-989

Metadata by DOAJ is licensed under CC BY-SA 1.0

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