Digging through model complexity: using hierarchical models to uncover evolutionary processes in the wild-Reference-Cited by-同舟云学术

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Digging through model complexity: using hierarchical models to uncover evolutionary processes in the wild

Published:2012-08-17 Issue:10 Volume:25 Page:2077-2090
ISSN:1010-061X
Container-title:Journal of Evolutionary Biology
language:en
Short-container-title:J. Evol. Biol.

Author:

Buoro M.¹²³,Prévost E.³⁴,Gimenez O.¹

Affiliation:

1. Centre d'Ecologie Fonctionnelle et Evolutive Campus CNRS UMR 5175 Montpellier Cedex France

2. Department of Environmental Science, Policy, and Management University of California Berkeley CA USA

3. INRA, UMR ECOBIOP, INRA/UPPA Pôle d'Hydrobiologie de l'INRA St Pée sur Nivelle France

4. Univ Pau & Pays Adour UMR ECOBIOP, INRA/UPPA, UFR Côte Basque Anglet France

Funder

French Research National Agency (ANR)

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1420-9101.2012.02590.x

Reference83 articles.

1. Comparison of population dynamics of Atlantic salmon (Salmo salar) and brown trout (Salmo trutta) in a small tributary of the River Scorff (Brittany, France)

2. Learning hierarchical models: advice for the rest of us

3. Why intraspecific trait variation matters in community ecology

4. General Methods for Monitoring Convergence of Iterative Simulations

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1. Survival analyses;Demographic Methods across the Tree of Life;2021-08-31

2. Social traits, social networks and evolutionary biology;Journal of Evolutionary Biology;2017-11-04

3. Can't see the trees for the forest: complex factors influence tree survival in a temperate second growth forest;Ecosphere;2015-11

4. Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi‐event capture–recapture models;Ecology and Evolution;2013-10-25

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