Jing Jiao

My research interests focus on applying quantitative tools (e.g., ordinary equations, data analyses and advanced statistical models) to understand species interactions and community dynamics across spatial and temporal scales. My lab is currently pursuing three major lines of research: 1) develop ecological/biological theory to understand the joint influences of ecology, evolution and epidemiology of infectious disease on dynamics of hetergeneous species; 2) test the theory in empirical systems such as using statistical hierarchical models to study host dynamics across different habitats in the presence of infectious diseases; 3) based on system dynamics, evaluate conservation strategies and further provide guidance for biological conservation and disease control.

Students interested in pursuing research in my lab can learn more at:

• Jiao, J and MH. Cortez (2022). Exploring how a generalist pathogen and within-host priority effects alter the risk of being infected by a specialist pathogen. The American Naturalist, 200(6).

• Jiao, J, G. Suarez, N Fefferman (2021). How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy. PLOS Computational Biology, 17(6): e1008762.

• Jiao, J, N. Fefferman (2021) The dynamics of evolutionary rescue from a novel pathogen threat in a host metapopulation, Scientific Reports, 11(1): 1-13.

• Jiao, J, L. Riotte‐Lambert, SS. Pilyugin, MA. Gil and CW. Osenberg (2020) Mobility and its sensitivity to fitness differences determine consumer-resource distributions. Royal Society Open Science: 200247.

• Jiao, J, SS. Pilyugin, L. Riotte‐Lambert and CW. Osenberg (2018). Habitat‐dependent movement rate can determine the efficacy of marine protected areas. Ecology, 99(11): 2485-2495.