Peer reviewed publications

[20] Jacob, S., Laurent, E., Haegeman, B., Bertrand, R., Prunier J.G., Legrand, D., Cote, J., Chaine A.S., Loreau, M., Clobert, J., Schtickzelle, N., (2018).
Habitat choice meets thermal specialization: Competition with specialists may drive suboptimal habitat preferences in generalists.
Proceedings of the National Academy of Sciences PNAS (DOI:https://doi.org/10.1073/pnas.1805574115)

[19] Cayuela, H., Rougemont, Q., Prunier J.G., Moore, J.-S., Clobert, J., Besnard, A., Bernatchez, L., (2018).
Demographic and genetic approaches to study dispersal in wild animal populations: A methodological review.
Molecular Ecology, 27(20), 3976–4010 (DOI:10.1111/mec.14848)

[18] Remon, J., Chevallier, E., Prunier J.G., Baguette, M., Moulherat, S., (2018).
Estimating the permeability of linear infrastructures using recapture data.
Landscape Ecology (DOI:10.1007/s10980-018-0694-0)

[17] Saint-Pé, K., Blanchet, S., Tissot, L., Poulet, N., Plasseraud, O., Loot, G., Veyssière, C., Prunier J.G., (2018).
Genetic admixture between captive-bred and wild individuals affects patterns of dispersal in a brown trout (Salmo trutta) population.
Conservation Genetics (DOI:10.1007/s10592-018-1095-2)

[16] Lobora A.L., Nahonyo C.L., Munishi L.K., Caro T., Foley C., Prunier J.G., Beale C.M. and Eggert L.S., 2018.
Incipient signs of genetic differentiation among African elephant populations in fragmenting miombo ecosystems in south-western Tanzania.
African Journal of Ecology (DOI:10.1111/aje.12534)

[15] De Kort H., Prunier J.G., Tessier M., Turlure C., Baguette M., Stevens V.M., 2018.
Interacting grassland species under threat of multiple global change drivers.
Journal of Biogeography (DOI:10.1111/jbi.13397)

[14] Prunier J.G., Blanchet S., 2018.
Using connectivity to identify climatic drivers of local adaptation: a response to Macdonald et al.
Ecology Letters, 21(7), 1121-1123 (DOI:10.1111/ele.12972)

[13] De Kort H., Baguette M., Prunier J.G., Tessier M., Monsimet J., Turlure C., Stevens V.M., 2018.
Genetic co-structure in a meta-community under threat of habitat fragmentation.
Molecular Ecology, 27(9), 2193-2203 (DOI:10.1111/mec.14569)

[12] Fourtune L., Prunier J.G., Paz-Vinas I., Loot G., Veyssière C., Blanchet S., 2018.
Inferring causalities in landscape genetics: An extension of Wright’s causal modeling to distance matrices.
American Naturalist, 191(4), 491-508 (DOI: http://dx.doi.org/10.1086/696233 )

[11] Prunier J.G., Dubut V., Loot G., Tudesque L., Blanchet S., 2018.
The relative contribution of river network structure and anthropogenic stressors to spatial patterns of genetic diversity in two freshwater fishes: A multiple-stressors approach.
Special issue in Freshwater Biology, 63(1), 6–21 (DOI:10.1111/fwb.13034)

[10] Prunier J.G., Dubut V., Chikhi L., Blanchet S., 2017.
Contribution of spatial heterogeneity in effective population sizes to the variance in pairwise measures of genetic differentiation.
Methods in Ecology and Evolution, 8(12), 1866–1877 (DOI: 10.1111/2041-210X.12820)

[9] Blanchet S., Prunier J.G., De Kort H., 2017.
Time to Go Bigger: Emerging Patterns in Macrogenetics.
Trends in Genetics, 33(9), 579–580 (DOI:10.1016/j.tig.2017.06.007)

[8] Dellicour S., Gerard M., Prunier J.G., Dewulf A., Kuhlmann M., Michez D., 2017.
Distribution and predictors of wing shape and size variability in three sister species of solitary bees.
Plos One, 12(3) (DOI: 10.1371/journal.pone.0173109)

[7] Prunier J.G., Colyn M., Legendre X., Flamand M.-C., 2017.
Regression commonality analyses on hierarchical genetic distances.
Ecography, 40, 001-014 (DOI:110.1111/ecog.02108)

[6] Fourtune L., Paz-Vinas I., Loot G., Prunier J.G., Blanchet S., 2016.
Lessons from the fish: a multi-species analysis reveals common processes underlying similar species-genetic diversity correlations.
Freshwater Biology, 61, 1830–1845. (DOI: 10.1111/fwb.12826)

[5] Prunier J.G., Colyn M., Legendre X., Nimon K.F., Flamand M.C., 2015.
Multicollinearity in spatial genetics: Separating the wheat from the chaff using commonality analyses.
Invited review in Molecular Ecology 24, 263-283 (DOI:10.1111/mec.13029)

[4] Prunier J.G., Kaufmann B., Lena J.P., Fenet S., Pompanon F., Joly P., 2014.
A forty-year-old divided highway does not prevent gene flow in the alpine newt Ichthyosaura alpestris.
Conservation Genetics 15(2), 453-468 (DOI: 10.1007/s10592-013-0553-0)

[3] Prunier J.G., Kaufmann B., Fenet S., Picard D., Pompanon F., Joly P., Lena J.P., 2013.
Optimizing the trade-off between spatial and genetic sampling efforts in patchy populations: towards a better assessment of functional connectivity using an individual-based sampling scheme.
Molecular Ecology 22, 5516–5530 (DOI: 10.1111/mec.12499)

[2] Luquet E., Lena J.P., David P., Prunier J., Joly P., Lengagne T., Perrin N., Plenet S., 2012.
Within- and among-population impact of genetic erosion on adult fitness-related traits in the European tree frog Hyla arborea.
Heredity 110(4), 347-354 (DOI: 10.1038/hdy.2012.110)

[1] Prunier J., Kaufmann B., Grolet O., Picard D., Pompanon F., Joly P. (2012)
Skin swabbing as a new efficient DNA sampling technique in amphibians, and 14 new microsatellite markers in the alpine newt (Ichthyosaura alpestris).
Molecular Ecology Resources 12, 524-531 (DOI: 10.1111/j.1755-0998.2012.03116.x)

Non peer reviewed publications

[c] Marc Colyn, J. G. Prunier, X. Legendre, A. Bouron, V. Giquel, et al. (2015).
La génétique du paysage : origine et flux de dispersion des populations de cerf dans la Région Centre.
Faune Sauvage 307, 24–31

[b] Audibert C., Michelot L., Prunier J. (2013).
Tritons et Sphaeridés.
Folia conchyliologica N°23, Juin 2013. [http://www.cernuelle.com/download.php?lng=fr]

[a] Prunier J. (2012).
Grandes infrastructures linéaires de transport et petite faune : le projet Copafaune.
Le courrier de la COFHUAT N°28 (Confédération française de l’habitat, de l’aménagement du territoire et de l’environnement). [http://cofhuat.org/fr/co_b_archives_courrier.htm#28]

Responsibility as a referee

2018 - Ecography / Heredity / Molecular Ecology Resources
2017 - BMC Ecology / Ecology and Evolution / Methods in Ecology and Evolution / Molecular Ecology Resources / Scientific Reports
2016 - BMC Ecology / Conservation Genetics / Fisheries Research / Journal of Biogeography / Molecular Ecology / Reviews in Fisheries Science
2015 - BMC Ecology / Molecular Ecology
2014 - Heredity / Molecular Ecology
2013 - Animal Biology / Herpetological Review / Molecular Ecology
2012 - Molecular Ecology Resources

Thesis

2009-2012

Individual-based sampling scheme in landscape genetics: assessing the impacts of anthropogenic fragmentation on dispersal patterns in the alpine newt Ichthyosaura alpestris.

Anthropogenic activities lead to profound landscape alterations: dispersal success thus holds a paramount importance for long-term persistence of populations. Landscape genetics is a recent discipline aiming to detect and describe dispersal patterns through indirect estimations of gene flow. Although the use of an individual-based sampling scheme has been proposed for a long time to get round the issue of an a priori delimitation of population boundaries, most landscape genetic studies are still based on a population-based sampling scheme. Results from simulations showed that decreasing the sampling coverage of individuals within populations in favour of a better sampling coverage of aggregates through space allowed a better detection of the impacts of landscape on gene flow, whatever the individual dispersal behaviour or the landscape configuration. When considering the dispersal patterns in the alpine newt Ichthyosaura alpestris, both in the vicinity of large transport infrastructures (Isolation-by-barrier IBB) and in an agricultural landscape (Isolation-by-landscape-resistance IBR), the individual-based sampling scheme proved to be a flexible and efficient methodological alternative to the more conventional population-based sampling scheme.

KEYWORDS
Amphibians ; Conservation ; Fragmentation ; Gene flow ; Landscape genetics ; Sampling units.