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Statistical ecology comes of age

Gimenez Olivier, Buckland Stephen T., Morgan Byron J., Bez Nicolas, Bertrand Sophie, Choquet Rémi, Dray Stéphane, Etienne Marie-Pierre, Fewster Rachel, Gosselin Frédéric, Mérigot Bastien, Monestiez Pascal, Morales Juan M., Mortier Frédéric, Munoz François, Ovaskainen Otso, Pavoine Sandrine, Pradel Roger, Schurr Frankl M., Thomas Len, Thuiller Wilfried, Trenkel Verena, De Valpine Perry, Rexstad Eric. 2014. Statistical ecology comes of age. Biology Letters, 11 (1), 4 p.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : BIOLOGY / Quartile : Q2, Sujet : ECOLOGY / Quartile : Q2, Sujet : EVOLUTIONARY BIOLOGY

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. (Résumé d'auteur)

Mots-clés Agrovoc : Écologie, Méthode statistique, Bioinformatique, Écologie animale, Modèle mathématique, Modèle de simulation, Espèce, Dynamique des populations, Distribution géographique, Capture animale, Sociologie, Changement climatique, Modélisation environnementale, Écologie des populations

Classification Agris : U10 - Computer science, mathematics and statistics
F40 - Plant ecology
L20 - Animal ecology
P40 - Meteorology and climatology
E50 - Rural sociology

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Gimenez Olivier, CEFE (FRA)
  • Buckland Stephen T., Université de St Andrews (GBR)
  • Morgan Byron J., University of Kentucky (USA)
  • Bez Nicolas, IRD (FRA)
  • Bertrand Sophie, IRD (FRA)
  • Choquet Rémi, CEFE (FRA)
  • Dray Stéphane, UCLB (FRA)
  • Etienne Marie-Pierre, AgroParisTech (FRA)
  • Fewster Rachel, University of Auckland (NZL)
  • Gosselin Frédéric, IRSTEA (FRA)
  • Mérigot Bastien, UM2 (FRA)
  • Monestiez Pascal, INRA (FRA)
  • Morales Juan M., INIBIOMA (ARG)
  • Mortier Frédéric, CIRAD-ES-UPR BSef (FRA)
  • Munoz François, UM2 (FRA)
  • Ovaskainen Otso, University of Helsinki (FIN)
  • Pavoine Sandrine, MNHN (FRA)
  • Pradel Roger, CEFE (FRA)
  • Schurr Frankl M., University of Hohenheim (DEU)
  • Thomas Len, Université de St Andrews (GBR)
  • Thuiller Wilfried, CNRS (FRA)
  • Trenkel Verena, IFREMER (FRA)
  • De Valpine Perry, UCR (USA)
  • Rexstad Eric, Université de St Andrews (GBR)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/574773/)

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