| Registro completo |
| Provedor de dados: |
ArchiMer
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| País: |
France
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| Título: |
Statistical ecology comes of age
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| Autores: |
Gimenez, Olivier
Buckland, Stephen T.
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
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| Data: |
2014-12
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| Ano: |
2014
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| Palavras-chave: |
Citizen science
Hidden Markov model
Hierarchical model
Movement ecology
Software package
Spatially explicit capture-recapture
Species distribution modelling
State-space model
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| Resumo: |
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.
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| Tipo: |
Text
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| Idioma: |
Inglês
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| Identificador: |
https://archimer.ifremer.fr/doc/00249/36026/35298.pdf
DOI:10.1098/rsbl.2014.0698
https://archimer.ifremer.fr/doc/00249/36026/
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| Editor: |
Royal Soc
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| Formato: |
application/pdf
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| Fonte: |
Biology Letters (1744-9561) (Royal Soc), 2014-12 , Vol. 10 , N. 12 , P. -
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| Direitos: |
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.
info:eu-repo/semantics/openAccess
restricted use
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