Statistical ecology comes of age

Olivier Gimenez; Stephen Terrence Buckland; Byron J. T.  Morgan; Nicolas Bez; Sophie  Bertrand; Remi Choquet; Stephane Dray; Marie-Pierre Etienne; Rachel Fewster; Frederic  Gosselin; Bastien Merigot; Pascal Monestiez; Juan M. Morales; Frederic Mortier; Francois Munoz; Otso Ovaskainen; Sandrine Pavoine; Roger  Pradel; Frank M. Schurr; Len Thomas; Wilfried Thuiller; Verena Trenkel; Perry  de Valpine; Eric Rexstad

doi:10.1098/rsbl.2014.0698

Statistical ecology comes of age

Olivier Gimenez, Stephen Terrence Buckland, Byron J. T. Morgan, Nicolas Bez, Sophie Bertrand, Remi Choquet, Stephane Dray, Marie-Pierre Etienne, Rachel Fewster, Frederic Gosselin, Bastien Merigot, Pascal Monestiez, Juan M. Morales, Frederic Mortier, Francois Munoz, Otso Ovaskainen, Sandrine Pavoine, Roger Pradel, Frank M. Schurr, Len ThomasWilfried Thuiller, Verena Trenkel, Perry de Valpine, Eric Rexstad

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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.

Original language	English
Article number	20140698
Number of pages	4
Journal	Biology Letters
Volume	10
DOIs	https://doi.org/10.1098/rsbl.2014.0698
Publication status	Published - 24 Dec 2014

Keywords

Citizen science
Hidden Markov model
Hierarchical model
Movement ecology
Software package

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10.1098/rsbl.2014.0698

gimenez2014biollett20140698
Copyright 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Final published version, 277 KB

National Centre for Statistical Ecology: National Centre for Statistical Ecology
Buckland, S. T. (PI)
EPSRC
1/10/10 → 30/09/15
Project: Standard

Cite this

Gimenez, O., Buckland, S. T., Morgan, B. J. T., Bez, N., Bertrand, S., 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., ... Rexstad, E. (2014). Statistical ecology comes of age. Biology Letters, 10, Article 20140698. https://doi.org/10.1098/rsbl.2014.0698

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abstract = "The desire to predict the consequences of global environmental change hasbeen the driver towards more realistic models embracing the variability anduncertainties inherent in ecology. Statistical ecology has gelled over the pastdecade as a discipline that moves away from describing patterns towardsmodelling the ecological processes that generate these patterns. Following the fourth International Statistical Ecology Conference (1 –4 July 2014) inMontpellier, France, we analyse current trends in statistical ecology. Importantadvances in the analysis of individual movement, and in the modelling of population dynamics and species distributions, are made possible by theincreasing use of hierarchical and hidden process models. Exciting researchperspectives include the development of methods to interpret citizen sciencedata 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.",

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Gimenez, O, Buckland, ST, Morgan, BJT, Bez, N, Bertrand, S, Choquet, R, Dray, S, Etienne, M-P, Fewster, R, Gosselin, F, Merigot, B, Monestiez, P, Morales, JM, Mortier, F, Munoz, F, Ovaskainen, O, Pavoine, S, Pradel, R, Schurr, FM, Thomas, L, Thuiller, W, Trenkel, V, de Valpine, P & Rexstad, E 2014, 'Statistical ecology comes of age', Biology Letters, vol. 10, 20140698. https://doi.org/10.1098/rsbl.2014.0698

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Statistical ecology comes of age

Abstract

Keywords

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Projects

National Centre for Statistical Ecology: National Centre for Statistical Ecology

Cite this