Angela Brennan is a Research Associate and Conservation Scientist at the University of British Columbia, where she works to develop research and data science on biodiversity conservation and wildlife ecology for the Biodiversity Research Centre and Institute for Resources Environment and Sustainability. Angela received a BS from the University of Wisconsin, an MS from Western Washington University and a PhD in Wildlife Biology from Montana State University. Prior to UBC, Angela spent 2 years working for the World Wildlife Fund on large mammal connectivity conservation in southern Africa and continues to be affiliated with the organization as a WWF Fellow. She has more than 10 years of experience studying the ecology and management of large mammal species and their movements in landscapes where humans and wildlife interact. She has a strong background conducting field work across mountain and savanna ecosystems and is proficient at implementing sophisticated statistical modeling and survey technology to study animals remotely. Angela’s training originates from her PhD and post-doctoral work studying elk movement, predation and disease in the Greater Yellowstone Ecosystem. During this time, she was also awarded a Fulbright Fellowship to research predator-prey dynamics and wildebeest migration in western Zambia. Angela’s work is published regularly in top academic journals in ecology, conservation and wildlife management.
Belote, T.R., S. Faurby, A. Brennan. N. Carter, M. Dietz, B. Hahn, W. McShea, and G. Gage. 2019. Mammal species composition reveals new insights into Earth’s remaining wilderness. Frontiers in Ecology and the Environment. In Press.
Naidoo, R. and A. Brennan. 2019. Connectivity of protected areas must consider landscape heterogeneity: A response to Saura et al. Biological Cosnervation 239. doi:10.1016/j.biocon.2019.108316
Christianson, D., M. Becker, S. Creel, E. Droge, J. M’soka, P. Schuette, D. Smit, A. Brennan, and F. Watson. 2018. Trade-offs in foraging effort, dental senescence, and vulnerability to predation are determined by prey gender and predator type. Ecology and Evolution 8(20). doi:10.1002/ece3.4489
Brennan, A., P.C. Cross, J. Merkle, E. Cole, S. Dewey, A. Courtemanch, and E.M. Hanks. 2018 Evaluating speed versus selection in connectivity models using elk migration as an example. Landscape Ecology 33(6). doi:10.1007/s10980-018-0642-z
Brennan, A., P.C. Cross, K. Portacci, B.M. Scurlock, and W.H. Edwards. 2017. Shifting brucellosis risk in cattle coincides with spreading disease in elk. PLoS ONE 12(6): e0178780. doi:10.1371/journal.pone.0178780
Brennan, A., P.C. Cross, and S. Creel. 2015. Managing more than the mean: using quantile regression to identify factors related to large elk groups. Journal of Applied Ecology 52:1656–1664.
Brennan, A., P.C. Cross, M. Higgs, W.H. Edwards, B. Scurlock and S. Creel. 2014. A multi-scale assessment of animal aggregation patterns to understand increasing pathogen seroprevalence. Ecosphere 5: 1–25.
Brennan, A., P.C. Cross, M. Higgs, J. Beckman, R. Klaver, B. Scurlock and S. Creel. 2013. Inferential consequences of modeling rather than measuring snow in studies of animal ecology. Ecological Applications 23: 643–653.
Brennan, A., P.C. Cross, A. Barbknecht, D. Ausband and S. Creel. 2013. Testing automated howling devices in a wolf survey. Wildlife Society Bulletin 37: 389–393.
Cross, P.C., D.M. Heisey, B.M. Scurlock, W.H. Edwards, M.R. Ebinger, A. Brennan. 2010. Mapping brucellosis increases relative to elk density using hierarchical Bayesian models. PLoS ONE 5(4): e10322. doi:10.1371/journal.pone.0010322