Image Retrieved from Envisioning the future of aquatic animal tracking: Technology, science, and application. BioScience.
1. 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.
2. 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.
3. 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 application. BioScience.
4. Lotze H, Mills Flemming J, Magera A. (2017) Critical factors for the recovery of marine mammals. Conservation Biology.
5. Carson S, Shackell N, and Mills Flemming J. (2017). Local overfishing may be avoided by examining parameters of a Spatio-temporal model. PloS ONE.
6. Cantoni, E., Mills Flemming, J., and Welsh, A. (2017). A random-effects hurdle model for predicting bycatch of endangered marine species. Annals of Applied Statistics, 11(4), 2178-2199. http://dx.doi.org/10.1214/17-AOAS1074.
7. Auger-Méthé M, Albertsen C, Jonsen I, Derocher A, Lidgard D, Studholme K, Bowen W, Crossin G, Mills Flemming J. (2017). Spatiotemporal modelling of marine movement data using Template Model Builder. Marine Ecology Progress Series, 565:237-249.
Photo Credit: Matt Hardy
1. Lawler, E., Field, C., & Mills Flemming, J. (2023). starve: An R package for spatio‐temporal analysis of research survey data using nearest‐neighbour Gaussian processes. Methods in Ecology and Evolution.