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hal.structure.identifierMathématiques et Informatique Appliquées [MIA-Paris]
dc.contributor.authorBEL, Liliane
hal.structure.identifierMathématiques Appliquées Paris 5 [MAP5 - UMR 8145]
dc.contributor.authorBAR-HEN, Avner
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorPETIT, Remy
hal.structure.identifierInstitut des Sciences de l'Evolution de Montpellier [UMR ISEM]
dc.contributor.authorCHEDDADI, Rachid
dc.date.issued2011
dc.identifier.issn0266-4763
dc.description.abstractEnThere is much interest in predicting the impact of global warming on the genetic diversity of natural populations and the influence of climate on biodiversity is an important ecological question. Since Holocene, we face many climate perturbations and the geographical ranges of plant taxa have changed substantially. Actual genetic diversity of plant is a result of these processes and a first step to study the impact of future climate change is to understand the important features of reconstructed climate variables such as temperature or precipitation for the last 15,000 years on actual genetic diversity of forest. We model the relationship between genetic diversity in the European beech (Fagus sylvatica) forests and curves of temperature and precipitation reconstructed from pollen databases. Our model links the genetic measure to the climate curves. We adapt classical functional linear model to take into account interactions between climate variables as a bilinear form. Since the data are georeferenced, our extensions also account for the spatial dependence among the observations. The practical issues of these methodological extensions are discussed.
dc.language.isoen
dc.publisherTaylor & Francis (Routledge)
dc.subjectSPATIO-TEMPORAL MODELING
dc.subjectCLIMATE CHANGE
dc.subjectBIODIVERSITY
dc.subjectSPATIAL REGRESSION
dc.subjectHETRE COMMUN
dc.subjectGENETIQUE DES POPULATIONS
dc.subjectRÉGRESSION SPATIALE
dc.subjectMODÉLISATION SPATIO-TEMPORELLE
dc.subjectFUNCTIONAL DATA ANALYSIS
dc.typeArticle de revue
dc.identifier.doi10.1080/02664760903563650
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
dc.identifier.arxiv0807.2588
bordeaux.journalJournal of Applied Statistics
bordeaux.page695-704
bordeaux.volume38
bordeaux.issue4
bordeaux.peerReviewedoui
hal.identifierhal-01000440
hal.version1
hal.popularnon
hal.audienceNon spécifiée
dc.title.itSpatio-temporal functional regression on paleoecological data
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01000440v1
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