Statistical ecology comes of age

Autores
Gimenez, Olivier; Buckland, Stephen T.; Morgan, Byron J. T.; Bez, Nicolas; Bertrand, Sophie; Choquet, Rémi; Dray, Stéphane; Etienne, Marie Pierre; Fewster, Rachel; Gosselin, Fréderic; Mérigot, Bastien; Monestiez, Pascal; Morales, Juan Manuel; Mortier, Frédéric; Munoz, François; Ovaskainen, Otso; Pavoine, Sandrine; Pradel, Roger; Schurr, Frank M.; Thomas, Len; Thuiller, Wilfried; Trenkel, Verena; de Valpine, Perry; Rexstad, Eric
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Gimenez, Olivier. Universite Montpellier Ii; Francia
Fil: Buckland, Stephen T.. University Of St Andrews; Reino Unido
Fil: Morgan, Byron J. T.. University Of Kent; Reino Unido
Fil: Bez, Nicolas. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Bertrand, Sophie. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Choquet, Rémi. Universite Montpellier Ii; Francia
Fil: Dray, Stéphane. Universite Lyon 2; Francia
Fil: Etienne, Marie Pierre. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Fewster, Rachel. The University Of Auckland; Nueva Zelanda
Fil: Gosselin, Fréderic. Irstea; Francia
Fil: Mérigot, Bastien. Universite Montpellier Ii; Francia
Fil: Monestiez, Pascal. Institut National de la Recherche Agronomique; Francia
Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Institut National de la Recherche Agronomique; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina
Fil: Mortier, Frédéric. Universite Montpellier Ii; Francia
Fil: Munoz, François. Universite Montpellier Ii; Francia
Fil: Ovaskainen, Otso. University Of Helsinki; Finlandia
Fil: Pavoine, Sandrine. University Of Oxford; Reino Unido. Muséum National d’Histoire Naturelle; Francia
Fil: Pradel, Roger. Universite Montpellier Ii; Francia
Fil: Schurr, Frank M.. Universidad de Hohenheim; Alemania
Fil: Thomas, Len. University Of St Andrews; Reino Unido
Fil: Thuiller, Wilfried. Universite Joseph Fourier; Francia
Fil: Trenkel, Verena. Iremer; Francia
Fil: de Valpine, Perry. University Of California Berkeley; Estados Unidos
Fil: Rexstad, Eric. University Of St Andrews; Reino Unido
Materia
STATISTICAL ECOLOGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/11894

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oai_identifier_str oai:ri.conicet.gov.ar:11336/11894
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Statistical ecology comes of ageGimenez, OlivierBuckland, Stephen T.Morgan, Byron J. T.Bez, NicolasBertrand, SophieChoquet, RémiDray, StéphaneEtienne, Marie PierreFewster, RachelGosselin, FrédericMérigot, BastienMonestiez, PascalMorales, Juan ManuelMortier, FrédéricMunoz, FrançoisOvaskainen, OtsoPavoine, SandrinePradel, RogerSchurr, Frank M.Thomas, LenThuiller, WilfriedTrenkel, Verenade Valpine, PerryRexstad, EricSTATISTICAL ECOLOGYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The 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.Fil: Gimenez, Olivier. Universite Montpellier Ii; FranciaFil: Buckland, Stephen T.. University Of St Andrews; Reino UnidoFil: Morgan, Byron J. T.. University Of Kent; Reino UnidoFil: Bez, Nicolas. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; FranciaFil: Bertrand, Sophie. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; FranciaFil: Choquet, Rémi. Universite Montpellier Ii; FranciaFil: Dray, Stéphane. Universite Lyon 2; FranciaFil: Etienne, Marie Pierre. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; FranciaFil: Fewster, Rachel. The University Of Auckland; Nueva ZelandaFil: Gosselin, Fréderic. Irstea; FranciaFil: Mérigot, Bastien. Universite Montpellier Ii; FranciaFil: Monestiez, Pascal. Institut National de la Recherche Agronomique; FranciaFil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Institut National de la Recherche Agronomique; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; ArgentinaFil: Mortier, Frédéric. Universite Montpellier Ii; FranciaFil: Munoz, François. Universite Montpellier Ii; FranciaFil: Ovaskainen, Otso. University Of Helsinki; FinlandiaFil: Pavoine, Sandrine. University Of Oxford; Reino Unido. Muséum National d’Histoire Naturelle; FranciaFil: Pradel, Roger. Universite Montpellier Ii; FranciaFil: Schurr, Frank M.. Universidad de Hohenheim; AlemaniaFil: Thomas, Len. University Of St Andrews; Reino UnidoFil: Thuiller, Wilfried. Universite Joseph Fourier; FranciaFil: Trenkel, Verena. Iremer; FranciaFil: de Valpine, Perry. University Of California Berkeley; Estados UnidosFil: Rexstad, Eric. University Of St Andrews; Reino UnidoThe Royal Society2014-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11894Gimenez, Olivier; Buckland, Stephen T.; Morgan, Byron J. T.; Bez, Nicolas; Bertrand, Sophie; et al.; Statistical ecology comes of age; The Royal Society; Biology Letters; 10; 12; 12-2014; 1-41744-9561enginfo:eu-repo/semantics/altIdentifier/doi/10.1098/rsbl.2014.0698info:eu-repo/semantics/altIdentifier/url/http://rsbl.royalsocietypublishing.org/content/10/12/20140698info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:44Zoai:ri.conicet.gov.ar:11336/11894instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:47:44.674CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Statistical ecology comes of age
title Statistical ecology comes of age
spellingShingle Statistical ecology comes of age
Gimenez, Olivier
STATISTICAL ECOLOGY
title_short Statistical ecology comes of age
title_full Statistical ecology comes of age
title_fullStr Statistical ecology comes of age
title_full_unstemmed Statistical ecology comes of age
title_sort Statistical ecology comes of age
dc.creator.none.fl_str_mv Gimenez, Olivier
Buckland, Stephen T.
Morgan, Byron J. T.
Bez, Nicolas
Bertrand, Sophie
Choquet, Rémi
Dray, Stéphane
Etienne, Marie Pierre
Fewster, Rachel
Gosselin, Fréderic
Mérigot, Bastien
Monestiez, Pascal
Morales, Juan Manuel
Mortier, Frédéric
Munoz, François
Ovaskainen, Otso
Pavoine, Sandrine
Pradel, Roger
Schurr, Frank M.
Thomas, Len
Thuiller, Wilfried
Trenkel, Verena
de Valpine, Perry
Rexstad, Eric
author Gimenez, Olivier
author_facet Gimenez, Olivier
Buckland, Stephen T.
Morgan, Byron J. T.
Bez, Nicolas
Bertrand, Sophie
Choquet, Rémi
Dray, Stéphane
Etienne, Marie Pierre
Fewster, Rachel
Gosselin, Fréderic
Mérigot, Bastien
Monestiez, Pascal
Morales, Juan Manuel
Mortier, Frédéric
Munoz, François
Ovaskainen, Otso
Pavoine, Sandrine
Pradel, Roger
Schurr, Frank M.
Thomas, Len
Thuiller, Wilfried
Trenkel, Verena
de Valpine, Perry
Rexstad, Eric
author_role author
author2 Buckland, Stephen T.
Morgan, Byron J. T.
Bez, Nicolas
Bertrand, Sophie
Choquet, Rémi
Dray, Stéphane
Etienne, Marie Pierre
Fewster, Rachel
Gosselin, Fréderic
Mérigot, Bastien
Monestiez, Pascal
Morales, Juan Manuel
Mortier, Frédéric
Munoz, François
Ovaskainen, Otso
Pavoine, Sandrine
Pradel, Roger
Schurr, Frank M.
Thomas, Len
Thuiller, Wilfried
Trenkel, Verena
de Valpine, Perry
Rexstad, Eric
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv STATISTICAL ECOLOGY
topic STATISTICAL ECOLOGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Gimenez, Olivier. Universite Montpellier Ii; Francia
Fil: Buckland, Stephen T.. University Of St Andrews; Reino Unido
Fil: Morgan, Byron J. T.. University Of Kent; Reino Unido
Fil: Bez, Nicolas. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Bertrand, Sophie. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Choquet, Rémi. Universite Montpellier Ii; Francia
Fil: Dray, Stéphane. Universite Lyon 2; Francia
Fil: Etienne, Marie Pierre. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Fewster, Rachel. The University Of Auckland; Nueva Zelanda
Fil: Gosselin, Fréderic. Irstea; Francia
Fil: Mérigot, Bastien. Universite Montpellier Ii; Francia
Fil: Monestiez, Pascal. Institut National de la Recherche Agronomique; Francia
Fil: Morales, Juan Manuel. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Institut National de la Recherche Agronomique; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina
Fil: Mortier, Frédéric. Universite Montpellier Ii; Francia
Fil: Munoz, François. Universite Montpellier Ii; Francia
Fil: Ovaskainen, Otso. University Of Helsinki; Finlandia
Fil: Pavoine, Sandrine. University Of Oxford; Reino Unido. Muséum National d’Histoire Naturelle; Francia
Fil: Pradel, Roger. Universite Montpellier Ii; Francia
Fil: Schurr, Frank M.. Universidad de Hohenheim; Alemania
Fil: Thomas, Len. University Of St Andrews; Reino Unido
Fil: Thuiller, Wilfried. Universite Joseph Fourier; Francia
Fil: Trenkel, Verena. Iremer; Francia
Fil: de Valpine, Perry. University Of California Berkeley; Estados Unidos
Fil: Rexstad, Eric. University Of St Andrews; Reino Unido
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/11894
Gimenez, Olivier; Buckland, Stephen T.; Morgan, Byron J. T.; Bez, Nicolas; Bertrand, Sophie; et al.; Statistical ecology comes of age; The Royal Society; Biology Letters; 10; 12; 12-2014; 1-4
1744-9561
url http://hdl.handle.net/11336/11894
identifier_str_mv Gimenez, Olivier; Buckland, Stephen T.; Morgan, Byron J. T.; Bez, Nicolas; Bertrand, Sophie; et al.; Statistical ecology comes of age; The Royal Society; Biology Letters; 10; 12; 12-2014; 1-4
1744-9561
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1098/rsbl.2014.0698
info:eu-repo/semantics/altIdentifier/url/http://rsbl.royalsocietypublishing.org/content/10/12/20140698
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv The Royal Society
publisher.none.fl_str_mv The Royal Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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