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
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- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/11894
Ver los metadatos del registro completo
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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 Técnicas2025-10-22T11:16:36Zoai: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:34982025-10-22 11:16:37.179CONICET 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 |
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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 |
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eng |
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eng |
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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 |
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