Gimenez O., Buckland S. T., Morgan B. J. T., Bez Nicolas, Bertrand Sophie, Choquet R., Dray S., Etienne M. P., Fewster R., Gosselin F., Merigot B., Monestiez P., Morales J. M., Mortier F., Munoz F., Ovaskainen O., Pavoine S., Pradel R., Schurr F. M., Thomas L., Thuiller W., Trenkel V., de Valpine P., Rexstad E.  (2014).     Statistical ecology comes of age.          Biology Letters,    10 (12),    p. art. 20140698 [4 p.].      ISSN 1744-9561. 
                        
                                             
                
                                                        
                                        
                        
                            Titre du document
                        
                        Statistical ecology comes of age
                     
                                        
                                                            
                        
                            Année de publication
                        
                        2014
                     
                                        
                                                            
                                        
                                        
                        
                            Auteurs
                        
                        
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                            Source
                        
                        
                                                            Biology Letters,                                                                                        2014, 
                                                                                        10 (12),                                                                                                                                                        p. art. 20140698 [4 p.]                             ISSN 1744-9561 
                     
                    
                                                            
                                                            
                                                            
                        The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and uncertainties inherent in ecology. Statistical ecology has gelled over the past decade as a discipline that moves away from describing patterns towards modelling the ecological processes that generate these patterns. Following the fourth International Statistical Ecology Conference (1-4 July 2014) in Montpellier, France, we analyse current trends in statistical ecology. Important advances in the analysis of individual movement, and in the modelling of population dynamics and species distributions, are made possible by the increasing use of hierarchical and hidden process models. Exciting research perspectives include the development of methods to interpret citizen science data and of efficient, flexible computational algorithms for model fitting. Statistical ecology has come of age: it now provides a general and mathematically rigorous framework linking ecological theory and empirical data.
                     
                                                                                                    
                        
                            Plan de classement
                        
                        
                                                            Sciences fondamentales / Techniques d'analyse et de recherche [020]
                                                                     ; 
                                                                                            Ecologie, systèmes aquatiques [036]
                                                                     ; 
                                                                                            Etudes, transformation, conservation du milieu naturel [082]
                                                                                    
                     
                                        
                                                                                                                
                                                                        
                                        
                                                                                                                
                            
                                Localisation
                            
                            Fonds IRD [F B010065292]
                         
                                                                
                                                            
                        
                            Identifiant IRD
                        
                        
                            fdi:010065292