@article{fdi:010065292,
  title = {{S}tatistical ecology comes of age},
  author = {{G}imenez, {O}. and {B}uckland, {S}. {T}. and {M}organ, {B}. {J}. {T}. and {B}ez, {N}icolas and {B}ertrand, {S}ophie and {C}hoquet, {R}. and {D}ray, {S}. and {E}tienne, {M}. {P}. and {F}ewster, {R}. and {G}osselin, {F}. and {M}erigot, {B}. and {M}onestiez, {P}. and {M}orales, {J}. {M}. and {M}ortier, {F}. and {M}unoz, {F}. and {O}vaskainen, {O}. and {P}avoine, {S}. and {P}radel, {R}. and {S}churr, {F}. {M}. and {T}homas, {L}. and {T}huiller, {W}. and {T}renkel, {V}. and de {V}alpine, {P}. and {R}exstad, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he 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. {S}tatistical 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. {F}ollowing the fourth {I}nternational {S}tatistical {E}cology {C}onference (1-4 {J}uly 2014) in {M}ontpellier, {F}rance, we analyse current trends in statistical ecology. {I}mportant 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. {E}xciting research perspectives include the development of methods to interpret citizen science data and of efficient, flexible computational algorithms for model fitting. {S}tatistical ecology has come of age: it now provides a general and mathematically rigorous framework linking ecological theory and empirical data.},
  keywords = {citizen science ; hidden {M}arkov model ; hierarchical model ; movement ecology ; software package ; spatially explicit capture-recapture ; species distribution modelling ; state-space model},
  booktitle = {},
  journal = {{B}iology {L}etters},
  volume = {10},
  numero = {12},
  pages = {art. 20140698 [4 p.]},
  ISSN = {1744-9561},
  year = {2014},
  DOI = {10.1098/rsbl.2014.0698},
  URL = {https://www.documentation.ird.fr/hor/fdi:010065292},
}