Lab Members

Current Members

Jacqueline Oehri, Postdoctoral Researcher

Linking multispecies connectivity modelling and ecosystem services in the context of landscape urbanization

In light of the ongoing biodiversity crisis and increasingly fragmented urbanized landscapes, facilitating ecological connectivity of species habitats is crucial for effective conservation management.
Past approaches of ecological connectivity are manifold and often inconsistent regarding inferred management guidelines. Furthermore, they typically lack an adequate incorporation of species interactions, which can have important consequences for the movement and persistence of a multitude of species in the ecological network.
Therefore, in our project, we develop a methodological framework where we integrate multiple species interactions to assess and evaluate “multi-species connectivity” in urban and peri-urban landscapes. Specifically, we will identify key-indicators of ecological networks allowing the consistent and robust assessment of multi-species connectivity and evaluate recent changes thereof across Canada and further regions. Finally, we will implement our method into a replicable workflow that considers connectivity as well as other ecosystem services and that can be applied across spatial scales and landscape contexts.
This project is set up in close collaboration with the environmental research firm Habitat ( and co-supervised by Dr. Andrew Gonzalez (McGill University, co-founder of Habitat).
With this work we aim to support the design of effective conservation networks that sustain biodiversity across local, regional and national scales.


Dat Nguyen, Research Assistant

I am a research assistant working under Brian Leung at McGill University in Montreal, Quebec, Canada. I recently completed Master's thesis, which examined the transferability of species distribution models (SDMs) in the context of biological invasions at the global scale, and the factors that may contribute to their success or failure. I have been working on developing forecasting models of shipping traffic through the Panama Canal, and linking global drivers of invasions to the regional level for prediction.


Ana Catarina Avila Vitorino, Ph.D. Student

Predicting forest regrowth after agricultural abandonment: the effect of land use on secondary tropical forest resilience

Tropical forests play an important role as biodiversity hotspots and carbon sinks, but they face many ongoing threats. One of the biggest is the expansion of industrial agriculture. Cycles of burning and subsequent land abandonment after nutrient depletion have replaced old growth forest with young, secondary growth, which now makes up more than 50% of all tropical forests in the world.
During my Ph.D., co-supervised with Dr. Fiona Soper, I am studying agricultural practices in Panama and around the world and how they impact the recovery of rainforests after land abandonment. The main goal of my research is to predict the resilience of secondary forests given historical agricultural practices in their area. I intend to use remote sensing tools, a valuable resource to measure forest density at different stages of succession. Better knowledge of the consequences of agricultural practices on forest regrowth may help improve environmental policy and reforestation strategies.


Abbie Gail Jones, Ph.D. Student

Integrative species distribution models for large biodiversity datasets: A case study of the European Flora

Abbie is a Ph.D. student (co-supervised with Laura Pollock) working on species distribution models of European plant species. The aim of her thesis project will be to build integrative species distribution models (S2BaK) for the European Flora by combining presence-absence datasets with presence-only datasets. Abbie hopes to advance the field by using bias-adjustment kernels to correct for both taxonomical and spatial biases, and adjusting species distribution projections accordingly. Her work will provide a new perspective by establishing a vegetation biodiversity baseline for Europe, with optimized estimates of continent and countrywide α-diversity accounting for pervasive regional and taxonomical biases, thus increasing prediction ability for low-accessibility areas and for non-surveyed species. As additional biodiversity losses are expected throughout the European continent by 2030 due to climate change and intensifying development and agriculture, it is vital to develop an adequate estimate of continental plant distributions to pinpoint vulnerable areas for conservation. This biodiversity layer will be a key tool to address fundamental and applied ecological questions concerning European plant distributions on varying geographic scales and for estimating vulnerable areas to future biodiversity losses from anthropogenic activities.


Jorge Morales, Ph.D. Student


Morgane Henry, Ph.D. Student

Dynamic of spruce budworm in the context of a single outbreak in Québec: impacts of landscape, dispersal and damages on forests

Spatially synchronous outbreaks of insects such as the spruce budworm (SBW) can significantly damage boreal and mixed-wood forests in North America. In terms of spatial scale, periodic outbreaks of SBW can cover more area than fire and logging combined also resulting in huge economical losses. A SBW outbreak is currently ongoing in Québec and although this species and its dynamic have been extensively studied for the last century, numerous questions remain unanswered. My research aims to better understand the spatial and temporal outbreak dynamics of SBW. The goal is to develop spatial models using demographic, environmental, and phenological data to investigate how environmental context and dispersal drive the spatial spread of a SBW outbreak in Québec and ultimately in other affected provinces. This project will contribute to a better understanding of complex population processes that lead to outbreaks of forest insect pests, and it will specifically improve the capacity to mitigate and forecast negative consequences of SBW outbreaks in North American forests.


Fiona Madsen, M.Sc. Student

Effects of ENSO on Pacific Equatorial Marine Autotrophs

I am a first-year Master's student interested in studying how El Niño and La Niña events affect marine primary productivity in the Equatorial Pacific, and the larger ecological impacts those effects may have.


Andrew Sellers, Ph.D. Student

Temporal Fluxes in Nutrient Subsidy Supply: Effects of Seasonal Upwelling on Algal-Herbivore Interactions

Seemingly discrete ecosystems are often connected by spatial flows of materials and organisms that represent important resource subsidies for species in recipient systems, and may strongly influence community structure and trophic interactions. Early studies in tropical rocky intertidal habitats highlighted the role of top-down processes and local scale interactions in regulating community structure and dynamics, but ignored the potential influence of large scale oceanographic processes that deliver nutrient rich water to coastal ecosystems (i.e. marine upwelling). For my dissertation I will examine how nutrient subsidies from tropical upwelling events influence producer-herbivore interactions in rocky intertidal communities in the Pacific coast of Panama. The Pacific coast of Panama is divided into two broad regions: the upwelling Gulf of Panama in the east, and the non-upwelling Gulf of Chiriqui in the west. Such variation in exposure to seasonal upwelling events represents an ideal setting to examine how large scale oceanographic processes influence intertidal community structure and algal-herbivore interactions in the tropics. My research will shed new light on the processes that shape community structure and influence trophic interactions on tropical coasts.


Charlotte Steeves, M.Sc. Student

A generalized bioenergetic and toxicokinetic model for all seabirds

My research is centered around the sublethal effects of chemical contamination in seabirds. Seabirds are one of the most highly impacted taxa to marine chemical pollution and are experiencing population decline on a global scale. The aim of my research is to model bioenergetic and toxicokinetic data in seabirds to better understand and predict patterns of exposure to certain hydrophobic pollutants. I am currently working to model bioenergetics data from a wide variety of sources for around 20 species of seabirds. This data will be used in tandem with ecotoxicology data to create a general seabird toxicant model, with the aim of expanding to other species beyond the scope of the data and to predict exposure patterns to some of the most prolific classes of marine contaminants.


Shriram Varadarajan, M.Sc. Student


Noah Wightman, Ph.D. Student

Correcting observer bias in species distribution models: an integrative model for Canadian vertebrates.

I am a PhD candidate in the Quantitative Life Sciences program broadly interested in modelling large scale ecological processes and biogeographic patterns. My current research project is focused on bias in species distribution models (SDMs). SDMs are valuable tools in ecology which relate species occurrences to environmental conditions and provide predictions for species distributions. However, these models are often built using presence-only sightings data (for instance e-bird), which has inherent observer bias and can result in misleading predictions. My aims are two-fold: to compare the effects of different existing methods of correcting for this observer bias, and to implement a correction method which integrates sightings, surveys, and expert opinion species checklists. To accomplish this, I am applying these bias correcting models to vertebrate species across Canada. This research will provide valuable insight into how we should apply SDMs in regions with extensive data poor areas such as Canada’s north.


Previous Graduate Students

Dat Nguyen M.Sc. student
Project Title: How well do species distribution models predict occurrences in exotic ranges?
Emma Hudgins Ph.D. student
Project Title: Predicting forest pests: Generalized models for invasive species establishment, spread, and impacts
Lidia Della Venezia Ph.D. student
Project Title: Predicting invasive species impact under limited data availability: single and multispecies risk assessment.
Victoria Reed M.Sc. student
Project Title: Implications of hydropower and land use change for Antillean manatees in the lower Changuinola River, Panama : an integrative modelling analysis
Anthony Sardain M.Sc. student
Project Title: Forecasting the global shipping network and the future of marine biological invasions
Johanna Bradie Ph.D. Student
Project Title: Using genetic and population characteristics to predict establishment success of NIS
Andrew Sellers M.Sc. student
Project Title: Higher ectoparasite richness and abundance in introduced red lionfish (Pterois volitans) at low latitudes: implications for biotic resistance and enemy release.
Published in: Sellers, A. J., Ruiz, G. M., Leung, B., & Torchin, M. E. (2015). Regional Variation in Parasite Species Richness and Abundance in the Introduced Range of the Invasive Lionfish, Pterois volitans. PloS one, 10(6), e0131075
Corey Chivers Ph.D. Student
Project Title: Predictive invasion ecology and decisions under uncertainty.
Paul Edwards Ph.D. Student
Project title: Optimizing monitoring and eradication of invasive species: new frameworks and applications.
Ayaz Hyder Ph.D. Student
Project title: Influenza spread models: integrating epidemiological and dynamic simulation approaches.
Stefanie Kulhanek M.Sc. Student.
Project title: Investigating the use of invasion history, meta-analysis and niche-based models as tools for predicting the ecological impact of introduced aquatic species.
Erin Gertzen M.Sc. Student.
Project title:Assessing the relationship between propagule pressure and probability of establishment for aquatic invasive species using two novel approaches .
David Delaney Ph.D. Student
Project title: Monitoring, managing and modeling the spread of marine invasive species
Dominique Roche M.Sc. Student.
Enemy release and biological invasions: a community study on Nile Tilapia
Discovery, distribution, and eradication potential of the introduced mud crab, Rhithropanopeus harrisii, in the Panama Canal

Previous Undergraduate Students

Kasia Johnson Independent Project.
Connectivity modeling for jaguars. (2020-2021)
Xell Brunet Independent Project.
Building a transport model for Panama City. 3 credits. (2018-2019)
Sarah Chamberland-Fontaine Honours Thesis Research.
Spatial economic modeling of Panama. 12 credits.(2018-2019)
Guillaume Allamel Honours Thesis Research.
Effect of oil pipeline development in Southern Louisian. 12 credits. (2018-2019)
Dat Nguyen Independent Project.
Analysis of a global invasions from the aquarium trade. 9 credits. (2016-2017)
Emma Hudgins Honours Thesis Research.
Estimating spread of invasive insects, BIOL 480. 12 credits. (2014-2015)
Shriram Varadarajan Independent Project.
Analysis of a SWAT component for a Ecosystem Management model. 6 credits. (2014-2015)
Tomomi Yoshida Undergraduate student.
Building environmental management models for biofuels and nuisance species. BIOL 468 6 credits. (2011-2012)
Raphaelle Descoteaux Undergraduate student.
Experimental recolonization rates of Littorina saxatilis, BIOL 468, 6 credits. (2009)
Kanako Hasegawa Undergraduate student.
Is there consistency in ecological impacts by invasive species?
Brooke Wilson Undergraduate student.
The importance of epistemic uncertainty for non-indigenous species management
Jillian Cohen Undergraduate student.
Quantifying and identifying aquatic plants sold in the aquarium trade in Montreal.
Erin Gertzen Undergraduate student.
Quantifying and identifying fish sold in the aquarium trade in Montreal.
Oriana Familiar Undergraduate student.
Estimating propagule pressure of fish from the aquarium trade to the St Lawrence.
Nick Mirotchnick Undergraduate student.
Surveys of customer pathways of plants from the aquarium trade to the St Lawrence