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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