Species distribution modelling through Bayesian hierarchical approach
File(s)TheoreticalEcologyFinal.docx (94.68 KB)
Accepted version
Author(s)
Rodriguez de River Ortega, Oscar
Blangiardo, MAG
López-Quílez, Antonio
Martín-Sanz, Ignacio
Type
Journal Article
Abstract
Usually in Ecology, the availability and quality of the data is not as good as we would like. For some species, the typical environmental study focuses on presence/absence data, and particularly with small animals as amphibians and reptiles, the number of presences can be rather small. The aim of this study is to develop a spatial model for studying animal data with a low level of presences; we specify a Gaussian Markov Random Field for modelling the spatial component and evaluate the inclusion of environmental covariates. To assess the model suitability, we use Watanabe-Akaike information criteria (WAIC) and the conditional predictive ordinate (CPO). We apply this framework to model each species of amphibian and reptiles present in the Las Tablas de Daimiel National Park (Spain).
Date Issued
2019-03-01
Date Acceptance
2018-06-20
Citation
Theoretical Ecology, 2019, 12 (1), pp.49-59
ISSN
1874-1738
Publisher
Springer Verlag
Start Page
49
End Page
59
Journal / Book Title
Theoretical Ecology
Volume
12
Issue
1
Copyright Statement
© Springer Nature B.V. 2018. The final publication is available at Springer via https://link.springer.com/article/10.1007%2Fs12080-018-0387-y
Subjects
Science & Technology
Life Sciences & Biomedicine
Ecology
Environmental Sciences & Ecology
Stochastic partial differential equation
Integrated nested Laplace approximation
Species distribution
Spatial model
UV-B RADIATION
SPATIOTEMPORAL MODELS
RESOURCE SELECTION
CROSS-VALIDATION
ANIMAL MOVEMENT
CLIMATE-CHANGE
CONSERVATION
ABUNDANCE
FROGS
UNCERTAINTY
Ecology
0602 Ecology
Publication Status
Published
Date Publish Online
2018-07-05