Reconstruction of a windborne insect invasion using a particle dispersal model, historical wind data, and Bayesian analysis of genetic data

Tonya A. Lander; Etienne K. Klein; Sylvie Oddou-Muratorio; Jean-Noël Candau; Cindy Gidoin; Alain Chalon; Anne Roig; Delphine Fallour; Marie-Anne Auger-Rozenberg; Thomas Boivin

doi:10.1002/ece3.1206

Reconstruction of a windborne insect invasion using a particle dispersal model, historical wind data, and Bayesian analysis of genetic data

Ecology and Evolution ◽

10.1002/ece3.1206 ◽

2014 ◽

Vol 4 (24) ◽

pp. 4609-4625 ◽

Cited By ~ 11

Author(s):

Tonya A. Lander ◽

Etienne K. Klein ◽

Sylvie Oddou-Muratorio ◽

Jean-Noël Candau ◽

Cindy Gidoin ◽

...

Keyword(s):

Bayesian Analysis ◽

Genetic Data ◽

Wind Data ◽

Dispersal Model ◽

Particle Dispersal

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Reconstruction of a beech population bottleneck using archival demographic information and Bayesian analysis of genetic data

Molecular Ecology ◽

10.1111/j.1365-294x.2011.05356.x ◽

2011 ◽

Vol 20 (24) ◽

pp. 5182-5196 ◽

Cited By ~ 22

Author(s):

TONYA A. LANDER ◽

SYLVIE ODDOU-MURATORIO ◽

HELENE PROUILLET-LEPLAT ◽

ETIENNE K. KLEIN

Keyword(s):

Bayesian Analysis ◽

Genetic Data ◽

Population Bottleneck ◽

Demographic Information

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Semiparametric Bayesian analysis of gene-environment interactions with error in measurement of environmental covariates and missing genetic data

Statistics and Its Interface ◽

10.4310/sii.2011.v4.n3.a5 ◽

2011 ◽

Vol 4 (3) ◽

pp. 305-315 ◽

Cited By ~ 7

Author(s):

Raymond J. Carroll ◽

Iryna Lobach ◽

Bani Mallick

Keyword(s):

Bayesian Analysis ◽

Genetic Data ◽

Environmental Covariates ◽

Gene Environment

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Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence

NeuroImage ◽

10.1016/j.neuroimage.2015.10.033 ◽

2016 ◽

Vol 125 ◽

pp. 813-824 ◽

Cited By ~ 6

Author(s):

Shabnam Azadeh ◽

Brian P. Hobbs ◽

Liangsuo Ma ◽

David A. Nielsen ◽

F. Gerard Moeller ◽

...

Keyword(s):

Bayesian Analysis ◽

Genetic Data ◽

Cocaine Dependence

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Integrative Bayesian analysis of neuroimaging-genetic data through hierarchical dimension reduction

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi.2016.7493393 ◽

2016 ◽

Cited By ~ 1

Author(s):

S. Azadeh ◽

B. P. Hobbs ◽

L. Ma ◽

D. A. Nielsen ◽

F. G. Moeller ◽

...

Keyword(s):

Bayesian Analysis ◽

Dimension Reduction ◽

Genetic Data

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Quantifying the source area of macroscopic charcoal with a particle dispersal model

Quaternary Research ◽

10.1016/j.yqres.2006.10.004 ◽

2007 ◽

Vol 67 (2) ◽

pp. 304-310 ◽

Cited By ~ 90

Author(s):

Matthew Edward Peters ◽

Philip Edward Higuera

Keyword(s):

Lake Sediments ◽

Lake Sediment ◽

Empirical Data ◽

Fire History ◽

Source Area ◽

Two Dimensional ◽

Dispersal Model ◽

Sediment Records ◽

Macroscopic Charcoal ◽

Particle Dispersal

AbstractTo aid interpreting the source area of charcoal in lake-sediment records, we compare charcoal deposition from an experimental fire to predictions from a particle dispersal model. This provides both a theoretical framework for understanding how lake sediments reflect fire history and a foundation for simulating sediment-charcoal records. The dispersal model captures the two-dimensional patterns in the empirical data (predicted vs. observed r2 = 0.67, p < 0.001). We further develop the model to calculate the potential charcoal source area (PCSA) for several classes of fires. Results suggest that (1) variations in airborne charcoal deposition can be explained largely by the size of PCSAs relative to fire sizes and (2) macroscopic charcoal travels many kilometers, longer than suggested by dispersal data from experimental fires but consistent with dispersal data from uncontrolled fires.

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