Our research has three major themes rooted in ecology and evolutionary biology.

  1. Develop new statistics and software for research synthesis, systematic reviews, and meta-analysis. Our tools aim to address ongoing challenges when synthesizing the vast and diverse research outcomes generated by ecologists.
  2. Collaborate broadly and apply our tools to provide the most comprehensive and robust research syntheses possible. Syntheses include: plant traits that best predict herbivory, factors influencing toxic mercury contamination of birds, shifts in life-cycle events due to climate change, and predictors of parasite-mediated selection.
  3. Field and lab studies on herbivores and parasites. These include experimental evolution of spider mites, and surveys of parasites on dragonflies, anoles, and anchovies.


Our team

We are located in the Department of Integrative Biology at the University of South Florida, Tampa FL (USA).

Dr. Marc J. Lajeunesse (PI)

Associate Professor USF

Elected member of the Society for Research Synthesis Methodology

PDF, NESCent, Duke University
Ph.D., Ecology, Cornell University (2009)
M.Sc., Biology, Carleton University
B.Sc. (Hons.), Biology, Carleton University

Department of Integrative Biology
University of South Florida
4202 East Fowler Ave
Tampa, FL 33620

Marc's Office: SCA 306
Phone: (813) 974-6234

Want to join our lab?

We are always looking for new Ph.D. or M.S. students, as well as undergraduates looking for Honors projects or research experience.

Send me an email and we'll chat about opportunities here at USF ( EMAIL ).

Daniel (Jake) Zydek

Ph.D. candidate

experimental evolution of spider mites; cross-host genetic-correlations; effects of wildflower-strips on crops

Meredith Krause

Ph.D. candidate

sex ratio ecology of spider mites; Red Queen dynamics; parasite-mediated selection

Travis Flock

M.S. candidate

trait-mediated interactions; indirect effects in predator-prey dynamics

Nicholas T. Ogburn

M.S. (graduated 2019)

Thesis: "Genome size and host specialization in parasites"

Kimberly Halley

Honors thesis

Diversity of plant-derived compounds as mosquito repellents

Elena Brazee

Honors thesis

Parasitism of spotted mangrove crabs (Aratus pisonii) in Tampa Bay

Publications (

)


Hoeksema, J.D., Bever, J.D., Chakraborty, S., Chaudhary, V.B., Gardes, M., Gehring, C.A., Hart, M.M., Housworth, E.A., Kaonongbua, W., Klironomos, J.N., Lajeunesse, M.J., Meadow, J., Milligan, B.G., Piculell, B., Pringle, A., Rúa, M.A., Umbanhowar, J., Viechtbauer, W., Wang, Y.-W., Wilson, G.W.T., and Zee, P.C. (2018) Evolutionary history of plant hosts and fungal symbionts predicts the strength of mycorrhizal mutualism. Communications Biology 1, 116. [ PDF = article + supp. info. ] [DOI]

Cohen, J.M., Lajeunesse, M.J. and Rohr, J.R. (2018) A global synthesis of animal phenological responses to climate change. Nature Climate Change 8, 224−228. [ PDF = article + supp. info. ] [DOI]

Brace, A.J., Lajeunesse, M.J., Ardia, D.R., Hawley, D.M., Adelman, J.S., Buchanan, K.L., Fair, J.M., Grindstaff, J.L., Matson, K.D. and Martin, L.B. (2017) Life history and body mass drive costs of immune response. Journal of Experimental Zoology Part A 327, 254−261. [ PDF = article + supp. info. ] [DOI]

Habegger, M.L., Huber, D.H., Lajeunesse, M.J. and Motta, P.J. (2017) Theoretical calculations of bite force in billfishes. Journal of Zoology 303, 15−26. PDF [DOI]

Bergman, J.N., Lajeunesse, M.J., and Motta, P.J. (2017) Teeth penetration force of the tiger shark Galeocerdo cuvier and sandbar shark Carcharhinus plumbeus. Journal of Fish Biology 91, 460−472. PDF [DOI]

Wallace, B., Lajeunesse, M.J., Dietz, G., Dahabreh, I.J., Schmid, C.H., Trikalinos, T.A., and Gurevitch, J. (2017) OpenMEE: Intuitive, open-source software for meta-analysis in ecology and evolutionary biology. Methods in Ecology and Evolution 8, 941−947. [ PDF = article + appendices ] [DOI]

Summary. OpenMEE: Open Meta-analyst for Ecological and Evolutionary Biology aims to address the need for advanced, easy-to-use software for meta-analysis and meta-regression. OpenMEE has a cross-platform easy-to-use graphical user interface (GUI) that provides researchers entrance to the broad and diverse advanced statistical functionalities offered in R, without requiring knowledge of R programming. OpenMEE offers a suite of advanced meta-analysis and meta-regression methods for synthesizing continuous and categorical data, including meta-regression with multiple covariates, phylogenetic analyses, simple missing data imputation, and other options. OpenMEE also supports data importing and exporting, graphing of data and estimation results, and summary table generation.

Rúa, M.A., Antoninka, A., Antunes, P.M., Chaudhary, V.B., Gehring, C., Lamit, L.J., Piculell, B.J., Bever, J.D., Zabinski, C., Meadow, J.F., Lajeunesse, M.J., Milligan, B.G., Karst, J., and Hoeksema, J.D. (2016) Home-field advantage? Evidence of local adaptation among plants, soil, and arbuscular mycorrhizal fungi through meta-analysis. BMC Evolutionary Biology 16, 122. PDF [DOI]

Lajeunesse, M.J. (2016) Facilitating systematic reviews, data extraction and meta-analysis with the metagear package for R. Methods in Ecology and Evolution 7, 323−330. [ PDF = article + supp. info. & PDF = updated manual ] [DOI] [CRAN]

Summary. Functionalities for facilitating systematic reviews, data extractions, and meta-analyses. It includes a GUI (graphical user interface) to help screen the abstracts and titles of bibliographic data; tools to assign screening effort across multiple collaborators/reviewers and to assess inter-reviewer reliability; tools to help automate the download and retrieval of journal PDF articles from online databases; automated data extractions from scatter-plots; PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools to fill gaps in incomplete or missing study parameters; generation of random effects sizes for Hedges' d, log response ratio, odds ratio, and correlation coefficients for Monte Carlo experiments; covariance equations for modelling dependencies among multiple effect sizes (e.g., effect sizes with a common control); and finally summaries that replicate analyses from widely used but no longer updated meta-analysis software.

Liu, L., Wang, X., Lajeunesse, M.J., Miao, G., Piao, S., Wan, S., Wu, Y., Wang, Z., Yang, S., Li, P. and Deng, M. (2016) A cross-biome synthesis of soil respiration and its determinants under simulated precipitation changes. Global Change Biology 22, 1394−1405. [ article = PDF & supp. info. = [ZIP] ] [DOI]

Janicke, T., Haederer, I.K, Lajeunesse, M.J. and Anthes, N. (2016) Darwinian sex roles confirmed across the animal kingdom. Science Advances 2, e1500983. [ PDF = article + appendices ] [Faculty of 1000] [DOI]

Janicke, T., Haederer, I.K, Lajeunesse, M.J. and Anthes, N. (2016) A plea for understanding diversity in sexual selection. Science Advances 2, e1500983, eLetter supplement. [letter & response]

Lajeunesse, M.J. (2015) Bias and correction for the log response ratio in ecological meta-analysis. Ecology 96, 2056−2063. [ PDF = article + appendices ] [DOI]

Ferguson, A.R, Huber, D.R., Lajeunesse, M.J. and Motta, P.J. (2015) Feeding performance of king Mackerel, Scomberomorus cavalla. Journal of Experimental Zoology 323A, 399−413. PDF [DOI]

Lajeunesse, M.J. and Fox, G.A. (2014) Statistical approaches to the problem of phylogenetically correlated data. In G.A. Fox, S. Negrete-Yankelevitch, and V.J. Sosa, editors. Ecological Statistics: Contemporary Theory and Application (pp. 261−283). Oxford University Press, Oxford, UK. [ PDF = chapter + R script ] [DOI]

Lajeunesse, M.J. (2013) Power statistics for meta-analysis: tests for mean effects and homogeneity. In J. Koricheva, J. Gurevitch, and K. Mengersen, editors. Handbook of meta-analysis in ecology and evolution (pp. 348−363). Princeton University Press, Princeton, New Jersey, USA. PDF [JSTOR]

Lajeunesse, M.J. (2013) Recovering missing or partial data from studies: a survey of conversions and imputations for meta-analysis. In J. Koricheva, J. Gurevitch, and K. Mengersen, editors. Handbook of meta-analysis in ecology and evolution (pp. 195−206). Princeton University Press, Princeton, New Jersey, USA. PDF [JSTOR]

Lajeunesse, M.J., Rosenberg, M.R. and Jennions, M.D. (2013) Phylogenetic nonindependence and meta-analysis. In J. Koricheva, J. Gurevitch, and K. Mengersen, editors. Handbook of meta-analysis in ecology and evolution (pp. 284−299). Princeton University Press, Princeton, New Jersey, USA. PDF [JSTOR]

Curtis, P.S., Mengersen, K., Lajeunesse, M.J., Rothstein, H.R. and Stewart, G.B. (2013) Extraction and critical appraisal of data. In J. Koricheva, J. Gurevitch, and K. Mengersen, editors. Handbook of meta-analysis in ecology and evolution (pp. 52−60). Princeton University Press, Princeton, New Jersey, USA. PDF [JSTOR]

Lortie, C.J., Lau, J. and Lajeunesse, M.J. (2013) Graphical presentation of results. In J. Koricheva, J. Gurevitch, and K. Mengersen, editors. Handbook of meta-analysis in ecology and evolution (pp. 339−347). Princeton University Press, Princeton, New Jersey, USA. PDF [JSTOR]

Schmid, C.H., Stewart, G.B., Rothstein, H.R., Lajeunesse, M.J. and Gurevitch, J. (2013) Software for statistical meta-analysis. In J. Koricheva, J. Gurevitch, and K. Mengersen, editors. Handbook of meta-analysis in ecology and evolution (pp. 174−194). Princeton University Press, Princeton, New Jersey, USA. PDF [JSTOR]

Robinson, S.A., Lajeunesse, M.J. and Forbes, M.R. (2012) Sex differences in mercury contamination of birds: testing multiple hypotheses with meta-analysis. Environmental Science & Technology 46, 7094−7101. [ PDF = article + supp. info. ] [DOI]

Chamberlain, S.A., Hovick, S.M., Dibble, C.J., Rasmussen, N.L., Van Allen, B.G., Maitner, B.S., Ahern, J.R., Bell-Dereske, L.P., Roy, C.L., Meza-Lopez, M, Carrillo, J., Siemann E., Lajeunesse, M.J. and Whitney, K.D. (2012) Does phylogeny matter? Assessing the impact of phylogenetic information in ecological meta-analysis. Ecology Letters 15, 627−636. [ article = PDF & supp. info. = [ZIP] ] [DOI]

Parachnowitsch, A.L. and Lajeunesse, M.J. (2012) Adapting with the enemy: local adaptation in plant−herbivore interactions. New Phytologist 193, 294−296. PDF [DOI]

Parker, J.D., Burkepile, D.E., Lajeunesse, M.J. and Lind, E.M. (2012) Phylogenetic isolation increases plant success despite increasing susceptibility to generalist herbivores. Diversity and Distributions 18, 1−9. [ PDF = article + appendix] [DOI]

Lajeunesse, M.J. (2011) On the meta-analysis of response ratios for studies with correlated and multi-group designs. Ecology 92, 2049−2055. [ PDF = article + appendix ] [DOI]

Lajeunesse, M.J. (2011) phyloMeta: a program for phylogenetic comparative analyses with meta-analysis. Bioinformatics 27, 2603−2604. PDF [DOI]

Summary. phyloMeta is an easy to use console program for integrating phylogenetic information into meta-analysis. It is designed to help ecologists, evolutionary biologists and conservation biologists analyze effect size data extracted from published studies in a comparative phylogenetic context. This software estimates phylogenetic versions of all the traditional meta-analytical statistics used for: pooling effect sizes with weighted regressions; evaluating the homogeneity of these effect sizes; performing moderator tests akin to ANOVA style analyses; and analyzing data with fixed- and random-effects models. phyloMeta is developed in C/C++ and can be used via command line in MS Windows environments.

Carmona, D., Lajeunesse, M.J. and Johnson, M.T.J. (2011) Plant traits that predict resistance to herbivores. Functional Ecology 25, 358−367. [ article = PDF & supp. info. = [ZIP] ] [DOI]

Lajeunesse, M.J. (2010) Achieving synthesis with meta-analysis by combining and comparing all available studies. Ecology 91, 2561−2564. PDF [DOI]

Garamszegi, L.Z., Calhim, S., Dochtermann, N., Hegyi, G., Hurd, P.L., Jørgensen, C., Kutsukake, N., Lajeunesse, M.J., Pollard, K.A., Schielzeth, H., Symonds, M.R.E. and Nakagawa, S. (2009) Changing philosophies and tools for statistical inferences in behavioral ecology. Behavioral Ecology 20, 1363−1375. PDF [DOI]

Lajeunesse, M.J. (2009) Meta-analysis and the comparative phylogenetic method. American Naturalist 174, 369−381. [ PDF = article + appendix ] [ PHYLOMETA [link] | software for meta-analysis ] [DOI]

Agrawal, A.A., Lajeunesse, M.J. and Fishbein, M. (2008) Evolution of latex and its constituent defensive chemistry in milkweeds (Asclepias): a phylogenetic test of plant defense escalation. Entomologia Experimentalis et Applicata 128, 126−138. PDF [DOI]

Lajeunesse, M.J. (2007) Ectoparasitism of damselflies by water mites in Central Florida. Florida Entomologist 90, 643−649. PDF [DOI]

Beirinckx, K., Van Gossum, H., Lajeunesse, M.J. and Forbes, M.R. (2006) Sex biases in dispersal and philopatry: insights from a meta-analysis based on capture-mark-recapture studies of damselflies. Oikos 113, 539−547. PDF [DOI]

Johnson, M.T.J., Lajeunesse, M.J. and Agrawal, A.A. (2006) Additive and interactive effects of plant genotypic diversity on arthropod communities and plant fitness. Ecology Letters 9, 24−34. [ PDF = article + appendix ] [Faculty of 1000] [DOI]

Lajeunesse, M.J., Forbes, M.R. and Smith, B.P. (2004) Species and sex biases in ectoparasitism of dragonflies by mites. Oikos 106, 501−508. PDF [DOI]

Lajeunesse, M.J. and Forbes, M.R. (2003) A comparison of structural size and condition in two female morphs of the damselfly Nehalennia irene (Hagen) (Zygoptera : Coenagrionidae). Odonatologica 32, 281−287. PDF

Lajeunesse, M.J. and Forbes, M.R. (2003) Variable reporting and quantitative reviews: a comparison of three meta-analytical techniques. Ecology Letters 6, 448−454. PDF [DOI]

Lajeunesse, M.J. and Forbes, M.R. (2002) Host range and local parasite adaptation. Proceedings of the Royal Society of London, Series B. 269, 703−710. PDF [DOI]


Odds & Sods

Lajeunesse, M.J. (2017) Understanding Statistical Error: A Primer for Biologists by Marek Gierliński. The Quarterly Review of Biology 92, 304−305. PDF

Patel, B.B., Andrade, C.M., Lajeunesse, M.J. and Geerken, R. (2014) Unusual finding of an intact moth during routine colonoscopy. ACG Case Reports Journal 1(3), 119. PDF [DOI]

Research Synthesis Software

All our software is free and open-source.

METAGEAR

An end-to-end R package with tools that span the entire research synthesis work-flow; from screening studies, extracting data from figures, to meta-analysis.

Citation

Lajeunesse, M.J. (2016) Facilitating systematic reviews, data extraction and meta-analysis with the metagear package for R. Methods in Ecology and Evolution 7, 323−330. [ PDF = article + supp. info. & PDF = updated manual ] [DOI]

OpenMEE

Free and cross-platform software for meta-analysis. It is a python-based GUI that runs R on the backend to facilitate multi-factor, phylogenetic meta-analysis.

Citation

Wallace, B., Lajeunesse, M.J., Dietz, G., Dahabreh, I.J., Schmid, C.H., Trikalinos, T.A., and Gurevitch, J. (2017) OpenMEE: Intuitive, open-source software for meta-analysis in ecology and evolutionary biology. Methods in Ecology and Evolution 8, 941−947. [ PDF = article + appendices ] [DOI]

phyloMeta

A Windows console program for phylogenetic meta-analysis. Conventional statistics are reported with phylogenetically-independent versions.

Citation

Lajeunesse, M.J. (2011) phyloMeta: a program for phylogenetic comparative analyses with meta-analysis. Bioinformatics 27, 2603−2604. PDF

NEWS


January 17, 2019

Congrats to labbie Nick Ogburn for defending his M.S. thesis!


October 11, 2018

Marc visits a pre-kindergarten in Seminole Heights to talk about insects and what a scientist does!




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