Joanna Mills Flemming


Phone: (902) 494-1268
Fax: (902) 494-5130
Mailing Address: 
Department of Mathematics & Statistics
Dalhousie University
6316 Coburg Road - PO BOX 15000
Halifax, Nova Scotia, Canada
B3H 4R2
Research Topics:
  • Statistical methodologies and computational techniques for the modelling of complex ecological data
  • Statistical tools for modelling marine animal movement data
  • State space assessment models for fisheries and biological data
  • Statistical approaches for analyzing breath sample data to determine disease status

Office: Chase Room 103

PhD - Dalhousie University (2000)
MSc - Technical University of Nova Scotia (1997)
BSc - University of Guelph (1996)

Scholarly Interests:
The development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. 

Recent Publications: 

Steenweg, R., Crossin, G., Kyser, T.K., Merkel, F., Gilchrist, H., Hennin, H., Roberston, G., Provencher, J., Mills Flemming, J., and Love, O. (2017). Stable isotopes can be used to infer the overwintering locations of pre-breeding marine birds in the Canadian Arctic. Ecology and Evolution.

Ogburn, M.B., Harrison, A-L., Whoriskey, F.G., Cooke, S.J., Mills Flemming, J.E., and Torres, L.G. (2017). Addressing challenges in the application of animal movement ecology to aquatic conservation and management.Frontiers in Marine Science.

Lennox R.J., Aarestrup, K., Cooke, S.J., Cowley, P., Fisk, A.T., Harcourt, R., Heupel, M., Hinch, S.G., Holland, K., Hussey, N., Iverson, S., Kessel, S., Kocik, J., Mills Flemming, J., Nguyen, V.M., Stokesbury, M., Vagle, S., VanderZwaag, D., Webber, D., Whoriskey, F.G., and Young, N. (2017). Envisioning the future of aquatic animal tracking: technology, science, and applicationBioScience.

Lotze H, Mills Flemming J, Magera A. (2017) Critical factors for the recovery of marine mammals. Conservation Biology.

Carson S, Shackell N, and Mills Flemming J. (2017). Local overfishing may be avoided by examining parameters of a Spatio-temporal model. PloS ONE.

Personal website: