I use molecular information (mainly Next-gen-sequencing data) to understand the diversification of species, metapopulations, and populations through time and across landscapes, and in translating these data to real-world problems involving the conservation and management of biodiversity. I integrate a suite of traditional methods in mammalian biology (e.g., population demography and modelling approaches using ecological data) with emerging genomic methods to test hypotheses of speciation, gene flow/connectivity and hybridization that impact population dynamics, ultimately with an aim to understand how organisms evolve across both geographic and genomic landscapes. As such, my research has a strong theoretical and applied component towards biodiversity conservation, management actions under future global change scenarios, and emerging human/wildlife disease. My research spans multiple continents, and include small mammals, cervids and invertebrates within North America, European small mammals, and endangered African ungulates.
Population Genomics
A major component of my current research, under Dr Andrew Hope (Kansas State University) is investigating species limits, units of conservation, hybridization dynamics and adaptive gradients among shrews of the Genus Sorex. This project revealed distinct genetic diversity across species ranges, hybridization across a forest/tundra ecotone providing multiple lines of evidence (microsatellites/mtDNA and RAD-seq) for updating Sorex cinereus systematics, identifying critical geographical regions for genetic diversity and conservation potential that can be extended across many species.
Deer Genomics and Chronic Wasting Disease (CWD)
Chronic wasting disease (CWD) is a contagious and fatal neurodegenerative prion disease that affects captive and free-ranging deer and their allies (Family Cervidae). Extensive and costly efforts have been afforded towards surveillance including deer testing and tracking of infection. However, there is still little mechanistic understanding of population transmissibility. Given there is no cure for CWD, my research aims to mitigate spread and transmission within a landscape through understanding the ecological and evolutionary processes of infection. During my postdoctoral research, I designed and developed a genomic study (rad-seq) in deer that demonstrated geographical population structure and hybridization between sympatric species (Mule deer and White-tailed deer) that have high socio-economic importance within North America. We observed high genetic connectivity among populations, but low genomic diversity and significant levels of inbreeding that has consequences for management priorities of these two species. Whilst, we for the first time using RAD-seq data identified hybridization (~10%) and backcrossed individuals showing presence of fertile hybrids. I am currently building a robust specimen series for both Mule and White-tailed deer leveraging State and Federal sampling within North America that incorporates genomics and molecular testing of diseases. This will provide further evolutionary evidence of the role of hybridization, describe genetically distinct populations of deer, relative genetic isolation (levels of breeding) between populations, and relative genetic diversity within populations, where high diversity generally enhances population resilience and low diversity may reflect inbreeding (reduced fitness), and reduced ability to combat disease of major concern (i.e. chronic wasting disease).
Ecological modelling
Understanding the mechanisms underlying animal abundance is fundamental to ecology and is necessary to predict population growth, and therefore to inform species conservation management. This is especially true in fragmented landscapes where populations vary in size, demographic composition and facility for individuals to disperse, factors which are of key importance for population persistence. Spatial variation in population demographics as a consequence of environmental stochasticity is not fully resolved, thus my research aims to study demographic variation in replicated subpopulations that vary in population density and environmental stochasticity.
As part of my PhD research under Dr Edwin Harris, Manchester Metropolitan University, I investigated the importance of key population demographic vital rates and climate variation for regulating population dynamics in a hibernating small mammal and found a strong negative effect of density dependence, precipitation, and winter temperature variation on population growth rates. Using a Bayesian integrated population modelling approach, we identified an interaction effect between climatic conditions and density on age-specific survival, which may result in reduction of the hibernation season, and decreasing the length and frequency of hibernation bouts. I have also used these modelling techniques to show the effect of woodland management on age-specific survival that has had applied management implications to mitigate the negative effects of tree felling and management within commercial plantations (Link)