Thomas Lake

Lake, T. A., Runquist, R. D. B., Flagel, L. E., & Moeller, D. A. (2023, April 4). Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge. https://doi.org/10.1101/2023.04.04.535556

Lake, T. A., Briscoe Runquist, R. D., Flagel, L. E., & Moeller, D. A. (2023). Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge. Evolutionary Applications. https://doi.org/10.1111/eva.13593

Lake, T. A., Briscoe Runquist, R. D., & Moeller, D. A. (2022). Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery. Remote Sensing in Ecology and Conservation, 8(6), 875–889. https://doi.org/10.1002/rse2.288

Runquist, R. D. B., Lake, T. A., & Moeller, D. A. (2021). Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co‐occurring species. Journal of Biogeography, 48(7), 1693–1705. https://doi.org/10.1111/jbi.14105

Lake, T. A., Runquist, R. D. B., & Moeller, D. A. (2020). Predicting range expansion of invasive species: Pitfalls and best practices for obtaining biologically realistic projections. Diversity and Distributions, 26(12), 1767–1779. https://doi.org/10.1111/ddi.13161

Runquist, R. D. B., Lake, T., Tiffin, P., & Moeller, D. (2019). 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.

Lake, T. A., Runquist, R. D. B., & Moeller, D. A. (2019). Species Distribution Models and Joint Species Distribution Models of Nine Invasive Species in North America [Dataset]. https://doi.org/10.13020/z71w-jx69

Runquist, R. D. B., Lake, T., Tiffin, P., & Moeller, D. A. (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, 9(1). https://doi.org/10.1038/s41598-018-38054-9