Year: 2014
Type: article
Abstract: 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.
Source: Biology Letters
Authors: Olivier Gimenez, Stephen T. Buckland, Byron J. T. Morgan, Nicolas Bez, Sophie Bertrand, Rémi Choquet, Stéphane Dray, Marie-Pierre Etienne, Rachel Fewster, Frédéric Gosselin, Bastien Mérigot, Pascal Monestiez, Juan M. Morales, Frédéric Mortier, François Munoz, Otso Ovaskainen, Sandrine Pavoine, Roger Pradel, Frank M. Schurr, Len Thomas, Wilfried Thuiller, Verena Trenkel, Perry de Valpine, Eric Rexstad
Institutions: Centre National de la Recherche Scientifique, École Pratique des Hautes Études, Université de Montpellier, Université Paul-Valéry Montpellier, Centre d'Écologie Fonctionnelle et Évolutive, Université de Montpellier Paul-Valéry, University of St Andrews, University of Kent, Institut de Recherche pour le Développement, Lyon 1 Université, Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive, AgroParisTech, University of Auckland, Ecosystèmes forestiers, Université Montpellier 2, Biostatistique et processus spatiaux, Consejo Nacional de Investigaciones Científicas y Técnicas, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations, University of Helsinki, University of Oxford, Centre d'Écologie et des Sciences de la Conservation, Muséum national d'Histoire naturelle, Université Pierre-et-Marie-Curie, University of Hohenheim, Université Joseph Fourier, Laboratoire d'Écologie Alpine, Ifremer, University of California, Berkeley
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: hybrid
OpenAlex ID: W2147653396