Works (8)

Updated: April 3rd, 2024 16:49

2023 article

Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge

Lake, T. A., Runquist, R. D. B., Flagel, L. E., & Moeller, D. A. (2023, April 4).

UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: ORCID
Added: September 26, 2023

2023 journal article

Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge

Evolutionary Applications.

TL;DR: The results suggest that trait evolution may have contributed to niche expansion during invasion and that distribution models, which inform future management planning, may underestimate invasion potential without accounting for evolution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: ORCID
Added: January 25, 2024

2022 journal article

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.

Ed(s): T. Sankey & Y. Ke*

TL;DR: This work used two types of satellite imagery to detect the invasive plant, leafy spurge, across a heterogeneous landscape in Minnesota, USA and modified the CNN for Planetscope with a long short‐term memory (LSTM) layer that leverages information on phenology from a time series of images. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 26, 2023

2021 journal article

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.

By: R. Runquist*, T. Lake* & D. Moeller*

TL;DR: Challenges to SDM building include non‐equilibrium range expansion, low or uneven prevalence, and projecting distributions into environments that are non‐analogous to the environments used for model building. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: ORCID
Added: September 26, 2023

2020 journal article

Predicting range expansion of invasive species: Pitfalls and best practices for obtaining biologically realistic projections

Diversity and Distributions, 26(12), 1767–1779.

By: T. Lake*, R. Runquist* & D. Moeller*

Ed(s): C. Bellard

TL;DR: This study examined alternative methods of spatial bias correction and multiple methods for model evaluation for seven invasive plant species usingcies distribution models. (via Semantic Scholar)
Source: ORCID
Added: September 26, 2023

2019 report

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

By: R. Runquist, T. Lake, P. Tiffin & D. Moeller

Source: NC State University Libraries
Added: September 30, 2023

2019 report

Species Distribution Models and Joint Species Distribution Models of Nine Invasive Species in North America

[Dataset].

By: T. Lake*, R. Runquist & D. Moeller

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: September 30, 2023

2019 journal article

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).

TL;DR: It is suggested that climate is unlikely to have influenced early stages of range expansion and models based on recent data make more robust predictions for northward range expansion of A. palmeri with climate change. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: ORCID
Added: September 26, 2023

Employment

Updated: September 19th, 2023 15:10

North Carolina State University Raleigh, North Carolina, US
Postdoctoral Researcher Center for Geospatial Analytics

2018 - 2023

University of Minnesota Minneapolis, Minnesota, US
PhD Candidate Department of Plant and Microbial Biology

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