Thomas Lake
Postdoctoral Scholar
Bio
Tom is a postdoctoral research scholar with the Pests and Pathogens group of the Landscape Dynamics Lab. Tom is a conservation biologist, ecologist and data scientist who uses spatial modeling approaches to examine species’ geographic ranges and improve forecasts of biological invasion. At the Center for Geospatial Analytics, Tom uses machine learning and computer vision approaches to understand when and where the invasive insect spotted lanternfly (Lycorma delicatula) may spread, given information about their host plant species (e.g., tree of heaven; Ailanthus spp.).
Publications
- Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge , (2023)
- Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge , Evolutionary Applications (2023)
- Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery , Remote Sensing in Ecology and Conservation (2022)
- Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co‐occurring species , Journal of Biogeography (2021)
- Predicting range expansion of invasive species: Pitfalls and best practices for obtaining biologically realistic projections , Diversity and Distributions (2020)
- Electronic Supplementary Materials for Species distribution models throughout the invasion history of Palmer amaranth predict regions at risk of future invasion and reveal challenges with modeling rapidly shifting geographic ranges , (2019)
- Species Distribution Models and Joint Species Distribution Models of Nine Invasive Species in North America , (2019)
- Species distribution models throughout the invasion history of Palmer amaranth predict regions at risk of future invasion and reveal challenges with modeling rapidly shifting geographic ranges , Scientific Reports (2019)