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Biological Sciences Profiles

Sharon Bewick

Assistant Professor
Biological Sciences Department

Office: Long 142
Phone: 724-833-4459
Personal Website:


 Educational Background

Ph.D. Chemistry
Princeton University 2006

M.A. Chemistry
Princeton University 2002

B.Sc. Chemistry
Mount Allison University 2001

 Courses Taught

Chemistry 116 (WVU)
Biology 4410 (Clemson)


The Bewick lab is looking to hire. If you're interested in insects, microbes, math, or a combination of all three, contact me at We are looking at all levels, from undergraduates to graduate students and postdocs!

 Research Interests

I am interested in population and community dynamics, particularly how detailed species life-histories can alter survival outcomes and how this is likely to interact with perturbations, for example global change, to impact species persistence. My favourite systems involve a combination of non-linear dynamics and insects - especially ants. However, I have studied a broad range of different organisms, from mosquitos, moths and butterflies to squirrels and trees. Recently, I've even been looking at the biodiversity of microbes on the human skin. Our goal is to extend current models of spatial ecology to consider patterns and processes driving the spatial distributions of bacteria, viruses and fungi on our bodies.


General Ecology

Foss-Grant, A., Bewick, S., & Fagan, W. F. (2018). Social transmission of migratory knowledge: quantifying the risk of losing migratory behavior. Theoretical Ecology, 1-14.

Calabrese, J. M., Fleming, C. H., Fagan, W. F., Rimmler, M., Kaczensky, P., Bewick, S., ... & Mueller, T. (2018). Disentangling social interactions and environmental drivers in multi-individual wildlife tracking data. Phil. Trans. R. Soc. B, 373(1746), 20170007.

Bewick, S., Wang, G., Younes, H., Li, B., & Fagan, W. F. (2017). Invasion dynamics of competing species with stage-structure. Journal of theoretical biology, 435, 12-21.

Fagan, W. F., Gurarie, E., Bewick, S., Howard, A., Cantrell, R. S., & Cosner, C. (2017). Perceptual ranges, information gathering, and foraging success in dynamic landscapes. The American Naturalist,189(5), 474-489.

Li, B., Bewick, S., Barnard, M. R., & Fagan, W. F. (2016). Persistence and spreading speeds of integrodifference equations with an expanding or contracting habitat. Bulletin of mathematical biology, 78(7),1337-1379.

Li, B., Bewick, S., Shang, J., Fagan, W.F. "Persistence and spread of a species with a shifting habitat edge." SIAM Journal on Applied Mathematics 74.5 (2014): 1397-1417.

Bewick, S., Chisholm, R.A., Akçay, E., Godsoe. W. “A stochastic biodiversity model with
overlappingniche structure.” Theoretical Ecology 8.1 (2015): 81-109

Fagan, W.F., Pearson, Y.E., Larson, E.A., Lynch, H.J., Turner, J.B., Staver, H., Noble, A.E., Bewick, S.,Goldberg, E.E. “Phylogenetic prediction of the maximum per capita rate of population growth.” Proceedings of the Royal Society B: Biological Sciences 280(1763) (2013)

Insect Ecology

Demers, J., Bewick, S., Calabrese, J., & Fagan, W. F. (2018). Dynamic modelling of personal protection control strategies for vector-borne disease limits the role of diversity amplification. Journal of The Royal Society Interface, 15(145), 20180166.

Agusto, F. B., Bewick, S., & Fagan, W. F. (2017). Mathematical model of Zika virus with vertical transmission. Infectious Disease Modelling, 2(2), 244-267.

Agusto, F. B., Bewick, S., & Fagan, W. F. (2017). Mathematical model for Zika virus dynamics with sexual transmission route. Ecological Complexity, 29, 61-81.

Otto, G., Bewick, S., Li, B., & Fagan, W. F. (2018). How Phenological Variation Affects Species Spreading Speeds. Bulletin of mathematical biology, 1-38.

Bewick, S., Agusto, F., Calabrese, J. M., Muturi, E. J., & Fagan, W. F. (2016). Epidemiology of La Crosse Virus Emergence, Appalachia Region, United States. Emerging infectious diseases, 22(11),1921.

Bewick, S., Cantrell, R.S., Cosner, C., and Fagan, W.F. "How resource phenology affects consumer population dynamics." The American Naturalist 187, no. 2 (2016): 151-166.

Bewick, S. "Current and future challenges of predictive insect population modelling." Functional Ecology 30, no. 7 (2016): 1028-1029.

Křivan, V., Lewis, M.,Bentz, B.J., Bewick, S., Lenhart, S.M., and Liebhold, A. "A dynamical model for bark beetle outbreaks." Journal of Theoretical Biology 407 (2016): 25-37.

Bewick, S., Li, B., Duquette, T., Fagan, W.F. “How oviposition behavior determines persistence in small patches and changing climates”, American Naturalist (2015): 237-251.

Bewick, S., Stuble, K., Lessard, J.P., Dunn, R.R., Adler, F.R., Sanders, N.J. “Predicting future coexistence in a North American ant community” Ecology and Evolution 4(10) (2014)

Fagan, William F., Bewick, S., Cantrell, S., Cosner, C., Varassin, I.G., and Inouye. I.W. "Phenologically explicit models for studying plant–pollinator interactions under climate change." Theoretical Ecology(2014): 1-9.

Bewick, S., Armsworth, P.R., Brosi, B. “Competition causes secondary plant extinctions in plantpollinator networks.” Oikos 122(12) (2013).

Moran, E.V., Bewick S., Cobbold, C. “Effects of plant genotype and insect dispersal rate on the population dynamics of a forest pest.” Ecology 94 (12) (2013).

Agusto, F.B., Bewick, S., Parshad, R.D. “Mosquito management in the face of natural selection” Mathematical Biosciences 239(1) (2012).

Sackett, T.E., Record, S., Bewick, S., Baiser, B., Sanders, N.J., Ellison, A.M. “Response of macroarthropod assemblages to the loss of hemlock (Tsuga Canadensis), a foundation species.” Ecosphere, 2(7) article 74 (2011).

Microbial Ecology & Immunology

Tsoi, R., Wu, F., Zhang, C., Bewick, S., Karig, D., & You, L. (2018). Metabolic division of labor in microbial systems. Proceedings of the National Academy of Sciences, 201716888.

Bewick, S., Staniczenko, P. P., Li, B., Karig, D. K., & Fagan, W. F. (2017). Invasion speeds in microbial systems with toxin production and quorum sensing. Journal of theoretical biology, 420, 290-303.

Bewick, S., Thielen, P., Mehoke, T., Karig, D., & Fagan, W. F. (2017). Sampling, sequencing and the SAD. Ecological Complexity, 32, 168-180.

Vecchio-Pagan, B., Bewick, S., Mainali, K., Karig, D. K., & Fagan, W. F. (2017). A Stoichioproteomic Analysis of Samples from the Human Microbiome Project. Frontiers in microbiology, 8, 1119.

Mainali, K. P., Bewick, S., Thielen, P., Mehoke, T., Breitwieser, F. P., Paudel, S., ... & Fagan, W. F.(2017). Statistical analysis of co-occurrence patterns in microbial presence-absence datasets. PloS one,12(11), e0187132.

Lopatkin, A.J., Huang, S., Smith, R.P., Srimani, J.K., Sysoeva, T.A., Bewick, S., Karig, D.K. and You,L. "Antibiotics as a selective driver for conjugation dynamics." Nature Microbiology (2016): 16044.

Sullivan, A., Agusto, F.B., Bewick, S., Chunlei, S., Lenhart, S., Zhao, X. “A mathematical model for within-host Toxoplasma gondii invasion dynamics” Mathematical Biosciences and Engineering 9(3)(2012)

Bewick, S., Wu, J., Lenaghan, S.C., Yang, R., Zhang, M.J., Hamel, W.R., “The R5 to X4 coreceptor switch: A dead-end path or a strategic maneuver? Lessons from a game theoretic analysis.” Bulletin of Mathematical Biology, 73(10) (2011).

Yang, R., Bewick, S., Zhang, M.J., Hamel, W. “Adaptive immune system Th1/Th2 differentiation mechanism inspired perimeter patrol control strategy”. IEEE Transactions on Control System Technology, 19(2), pg. 407-415 (2011).

Bewick, S., Yang, R., Zhang, M.J. “The danger is growing! A new paradigm for immune system
activation and peripheral tolerance.” PLoS ONE, 4(12): e8112. doi:10.1371/journal.pone.0008112 (2009).