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Statistical ecology comes of age

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

In: Biology Letters, Vol. 10, 20140698, 24.12.2014.

Research output: Contribution to journalArticle

Harvard

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

APA

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

Vancouver

Gimenez O, Buckland ST, Morgan BJT, Bez N, Bertrand S, Choquet R et al. Statistical ecology comes of age. Biology Letters. 2014 Dec 24;10. 20140698. https://doi.org/10.1098/rsbl.2014.0698

Author

Gimenez, Olivier ; Buckland, Stephen Terrence ; Morgan, Byron J. T. ; Bez, Nicolas ; Bertrand, Sophie ; Choquet, Remi ; Dray, Stephane ; Etienne, Marie-Pierre ; Fewster, Rachel ; Gosselin, Frederic ; Merigot, Bastien ; Monestiez, Pascal ; Morales, Juan M. ; Mortier, Frederic ; Munoz, Francois ; Ovaskainen, Otso ; Pavoine, Sandrine ; Pradel, Roger ; Schurr, Frank M. ; Thomas, Len ; Thuiller, Wilfried ; Trenkel, Verena ; de Valpine, Perry ; Rexstad, Eric. / Statistical ecology comes of age. In: Biology Letters. 2014 ; Vol. 10.

Bibtex - Download

@article{829aea796e6a4d4d97d0ac76dfed26e8,
title = "Statistical ecology comes of age",
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.",
keywords = "Citizen science, Hidden Markov model, Hierarchical model, Movement ecology, Software package",
author = "Olivier Gimenez and Buckland, {Stephen Terrence} and Morgan, {Byron J. T.} and Nicolas Bez and Sophie Bertrand and Remi Choquet and Stephane Dray and Marie-Pierre Etienne and Rachel Fewster and Frederic Gosselin and Bastien Merigot and Pascal Monestiez and Morales, {Juan M.} and Frederic Mortier and Francois Munoz and Otso Ovaskainen and Sandrine Pavoine and Roger Pradel and Schurr, {Frank M.} and Len Thomas and Wilfried Thuiller and Verena Trenkel and {de Valpine}, Perry and Eric Rexstad",
year = "2014",
month = "12",
day = "24",
doi = "10.1098/rsbl.2014.0698",
language = "English",
volume = "10",
journal = "Biology Letters",
issn = "1744-9561",
publisher = "The Royal Society",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Statistical ecology comes of age

AU - Gimenez, Olivier

AU - Buckland, Stephen Terrence

AU - Morgan, Byron J. T.

AU - Bez, Nicolas

AU - Bertrand, Sophie

AU - Choquet, Remi

AU - Dray, Stephane

AU - Etienne, Marie-Pierre

AU - Fewster, Rachel

AU - Gosselin, Frederic

AU - Merigot, Bastien

AU - Monestiez, Pascal

AU - Morales, Juan M.

AU - Mortier, Frederic

AU - Munoz, Francois

AU - Ovaskainen, Otso

AU - Pavoine, Sandrine

AU - Pradel, Roger

AU - Schurr, Frank M.

AU - Thomas, Len

AU - Thuiller, Wilfried

AU - Trenkel, Verena

AU - de Valpine, Perry

AU - Rexstad, Eric

PY - 2014/12/24

Y1 - 2014/12/24

N2 - 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.

AB - 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.

KW - Citizen science

KW - Hidden Markov model

KW - Hierarchical model

KW - Movement ecology

KW - Software package

U2 - 10.1098/rsbl.2014.0698

DO - 10.1098/rsbl.2014.0698

M3 - Article

VL - 10

JO - Biology Letters

T2 - Biology Letters

JF - Biology Letters

SN - 1744-9561

M1 - 20140698

ER -

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ID: 169367761