Voir la notice de l'article provenant de la source Numdam
Sharp prediction of extinction times is needed in biodiversity monitoring and conservation management. The Galton–Watson process is a classical stochastic model for describing population dynamics. Its evolution is like the matrix population model where offspring numbers are random. Extinction probability, extinction time, abundance are well known and given by explicit formulas. In contrast with the deterministic model, it can be applied to small populations. Parameters of this model can be estimated through the Bayesian inference framework. This enables to consider various scenarios. We show how coupling Bayesian inference with the Galton–Watson model provides several features: (i) a flexible modelling approach with easily understandable parameters (ii) compatibility with the classical matrix population model (Leslie type model) (iii) An approach which leads to more information with less computing iv) inclusion of expert or previous knowledge...It can be seen to go one step further than the classical matrix population model for the viability problem. To illustrate these features, we provide analysis details for a real life example with French Pyrenean brown bears.
Cloez, Bertrand 1 ; Daufresne, Tanguy 2 ; Kerioui, Marion 1 ; Fontez, Bénédicte 1
CC-BY 4.0
@article{MSIA_2023__12_1_49_0,
author = {Cloez, Bertrand and Daufresne, Tanguy and Kerioui, Marion and Fontez, B\'en\'edicte},
title = {A bayesian version of {Galton{\textendash}Watson} for population growth and its use in the management of small population},
journal = {MathematicS In Action},
pages = {49--64},
publisher = {Soci\'et\'e de Math\'ematiques Appliqu\'ees et Industrielles},
volume = {12},
number = {1},
year = {2023},
doi = {10.5802/msia.31},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.5802/msia.31/}
}
TY - JOUR AU - Cloez, Bertrand AU - Daufresne, Tanguy AU - Kerioui, Marion AU - Fontez, Bénédicte TI - A bayesian version of Galton–Watson for population growth and its use in the management of small population JO - MathematicS In Action PY - 2023 SP - 49 EP - 64 VL - 12 IS - 1 PB - Société de Mathématiques Appliquées et Industrielles UR - http://geodesic.mathdoc.fr/articles/10.5802/msia.31/ DO - 10.5802/msia.31 LA - en ID - MSIA_2023__12_1_49_0 ER -
%0 Journal Article %A Cloez, Bertrand %A Daufresne, Tanguy %A Kerioui, Marion %A Fontez, Bénédicte %T A bayesian version of Galton–Watson for population growth and its use in the management of small population %J MathematicS In Action %D 2023 %P 49-64 %V 12 %N 1 %I Société de Mathématiques Appliquées et Industrielles %U http://geodesic.mathdoc.fr/articles/10.5802/msia.31/ %R 10.5802/msia.31 %G en %F MSIA_2023__12_1_49_0
Cloez, Bertrand; Daufresne, Tanguy; Kerioui, Marion; Fontez, Bénédicte. A bayesian version of Galton–Watson for population growth and its use in the management of small population. MathematicS In Action, Maths Bio, Tome 12 (2023) no. 1, pp. 49-64. doi: 10.5802/msia.31
Cité par Sources :