Field of Study: Mathematics & Statistics
Research Topic: Genetics for Forecasting and Managing Biodiversity
During my PhD project, I will investigate new biodiversity theory, based on information theory. I will identify how these theory and concepts can be utilised to measure genetic divergence, dispersal and selection in natural populations. I will apply this theory to a wide range of existing datasets in genetic biodiversity, using data from koalas, dolphins, flies, trees and various other species.
In a different front of my project, I will use genetic analyses to track effects of river regulation on connectivity in populations of platypus (Ornithorhynchus anatinus), which was recently identified as a “near threatened” species, given continuing population declines and threats.
The project will compare genetic estimates between populations upstream and downstream in three pairs of rivers with different levels of artificial fragmentation. We will use a novel combination of genetic methods to quantify recent and historical impacts of river regulation on dispersal rates, population condition, health and dynamics. This information will be used to implement decision analyses that focus effective conservation actions.
• DNA-based population density estimation of black bear at northern Mexico: A preliminary study (2013) Avalos-Ramirez R, Mijangos-Araujo JL, Zarate-Ramos JJ, et al. African Journal of Biotechnology, 12, 103-108.
• Contribution of genetics to ecological restoration (2015) Mijangos JL, Pacioni C, Spencer PBS, Craig MD. Molecular Ecology, 24, 22–37.
• Characterizing the post-recolonization of Antechinus flavipes and its genetic implications in a production forest landscape (2017) Mijangos JL, Pacioni C, Spencer PBS, Craig MD. Restoration Ecology, DOI:10.1111/rec.12493.
Google Scholar profile: https://scholar.google.com/citations?user=awdTdF8AAAAJ&hl=en