globalchange  > 气候变化事实与影响
DOI: 10.1007/s12080-018-0387-y
WOS记录号: WOS:000459514000004
论文题名:
Species distribution modelling through Bayesian hierarchical approach
作者: Rodriguez de Rivera, Oscar1,2; Blangiardo, Marta2; Lopez-Quilez, Antonio1; Martin-Sanz, Ignacio3
通讯作者: Rodriguez de Rivera, Oscar
刊名: THEORETICAL ECOLOGY
ISSN: 1874-1738
EISSN: 1874-1746
出版年: 2019
卷: 12, 期:1, 页码:49-59
语种: 英语
英文关键词: Stochastic partial differential equation ; Integrated nested Laplace approximation ; Species distribution ; Spatial model
WOS关键词: UV-B RADIATION ; SPATIOTEMPORAL MODELS ; RESOURCE SELECTION ; CROSS-VALIDATION ; ANIMAL MOVEMENT ; CLIMATE-CHANGE ; CONSERVATION ; ABUNDANCE ; FROGS ; UNCERTAINTY
WOS学科分类: Ecology
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

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).


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/131596
Appears in Collections:气候变化事实与影响

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作者单位: 1.Univ Valencia, Dept Estadist & IO, Dr Moliner 50, E-46100 Burjassot, Spain
2.Imperial Coll London, Dept Epidemiol & Biostat, MRC, Ctr Environm & Hlth, London, England
3.Univ Politecn Madrid, ETSI Montes Forestal & Medio Nat, Dept Sistemas & Recursos Nat, Ciudad Univ S-N, Madrid, Spain

Recommended Citation:
Rodriguez de Rivera, Oscar,Blangiardo, Marta,Lopez-Quilez, Antonio,et al. Species distribution modelling through Bayesian hierarchical approach[J]. THEORETICAL ECOLOGY,2019-01-01,12(1):49-59
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