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Statistical ecology comes of age

Gimenez, Olivier, Buckland, Stephen T., Morgan, Byron J. T., Bertrand, Sophie, Choquet, Rémi, Dray, Stéphane, Etienne, Marie-Pierre, Fewster, Rachel, Gosselin, Frédéric, Mérigot, Bastien, and others. (2014) Statistical ecology comes of age. Biology Letters, 10 (11). ISSN 1744-9561. (doi:10.1098/rsbl.2014.0698) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48965)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1098/rsbl.2014.0698

Abstract

The desire to predict the consequences of global environmental change has

uncertainties inherent in ecology. Statistical ecology has gelled over the past

modelling the ecological processes that generate these patterns. Following

Montpellier, France, we analyse current trends in statistical ecology. Impor-

of population dynamics and species distributions, are made possible by the

perspectives include the development of methods to interpret citizen science

istical ecology has come of age: it now provides a general and mathematically

rigorous framework linking ecological theory and empirical data.

Item Type: Article
DOI/Identification number: 10.1098/rsbl.2014.0698
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QH Natural history > QH541 Ecology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 09 Jun 2015 13:09 UTC
Last Modified: 16 Feb 2021 13:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48965 (The current URI for this page, for reference purposes)
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