Addressing scientific & methodological challenges in connectivity conservation planning
Our remote virtual IALE 2020 symposium on addressing scientific & methodological challenges in connectivity conservation planning is May 12 at 2 pm!
Zoom link here for conference attendees.
Job seekers – see this associated postdoc opportunity (application deadline May 29).
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Assessing the connectivity of Canadian protected areas
We are investigating the sensitivity of distance-weighted sum connectivity metrics to assumptions about species’ dispersal and the land cover data used to define habitat quality and connectivity. Read more in our IALE 2020 iPoster.
Compilation of boreal understory vegetation plot data
Looking for data & collaborators: We are compiling boreal vegetation plot data to inform lichen maps & models. Join us! Tell your friends!
Read more in our data request letter and project backgrounder.
Projecting boreal landcover change and implications for boreal caribou
We are developing harvest and road network projection methods to assess the cumulative effects of fire and forest management on boreal caribou.
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Forecasting boreal vegetation dynamics: understory plants, state changes and biome shifts
Canadian Institute for Ecology and Evolution working group focused on improving our forecasting of boreal vegetation dynamics under climate change.
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Past work
A population demography modeling tool to explore harvest management scenarios for the Fortymile caribou herd
We parameterized a DG-Sim demographic model for the Fortymile caribou herd using Bayesian methods, and used to tool to assist managers with analysis of alternative harvest scenarios.
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rsyncrosim: The R interface to SyncroSim, a software framework for stochastic simulation modelling
The rsyncrosim package allows users to create, run, and analyze SyncroSim stochastic simulation models using the R programming language.
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How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
Two indices summarize the impact of antibiotic resistance on empiric therapy, accounting for drug availability and pathogen importance. They can be calculated from cumulative antibiogram data, and used to assess trends, interventions and potential threats.
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Benefits and unintended consequences of antimicrobial de-escalation
Inadequate empiric therapy delays recovery and increases mortality, and resistance threatens the effectiveness of empiric drugs. De-escalation strategies aim to minimize the use of empiric drugs by switching to narrow spectrum alternatives when lab results indicate susceptibility. We investigated the consequences of this strategy using simulation models.
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The effects of forest spatial structure on insect outbreaks: insights from a host-parasitoid model
We investigated the effects of landscape configuration and other factors on a spatial model of host-parasitoid (forest tent caterpillar) population dynamics. We also developed a new approximation technique to simplify model analysis and parameter estimation.
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Pollen cone production in jack pine: spatial and temporal patterns subject to natural disturbance by the jack pine budworm
We used generalized linear mixed regression models to distinguish effects of defoliation on pollen cone production from spatially synchronous background variation in cone production.
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BCMPB: Mountain pine beetle projection model
I collaborated on modeling mountain pine beetle dynamics and management across British Columbia.
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