Natalie Patten

Natalie Patten

Mentor

Dr. Pamela Soltis and Dr. Douglas Soltis

College

Florida Museum of Natural History

Major

Mathematics

Minor

Agricultural and Natural Resource Law, Computer and Information Science and Engineering

Organizations

President and founder of Women in Mathematics and Statistics, Retreat Chair of Theta Alpha Sorority, University Honors Program, peer mentor for University Research Scholars Program, Delta Alpha Pi Honor Society

Academic Awards

Martin County Bar Association Scholarship (2019), Alvin and Sunny Domroe Scholarship (2019), Florida Bright Futures Academic Scholars Award and Academic Top Scholars Award (2019), University Honors Program (2019), University Research Scholars Program (2019), Dean's List (2019-present), Emerging Scholars Program (2021), University Scholars Program (2021)

Volunteering

UF Dance Marathon/UF Health Shands Children's Hospital

Research Interests

differential equations, bioinformatics, scientific computing, mathematical logic, complex analysis

Hobbies and Interests

Research Project

Reproducible Workflow for Projecting Climatic Impacts on Florida Plants

There is debate concerning best practices in obtaining and processing biodiversity data for research applications. Which repositories to use, how to identify duplicate specimens, and additional processing steps remain unclear. Thus, I aim to create an R package to aid researchers through this critical data processing. Additionally, I will create a step-by-step workflow with graphics. This workflow will include functions that streamline downloading records from GBIF, iDigBio, and BISON. In addition, we are developing functions to identify flagged (potentially problematic) records or those that need to be georeferenced. Functions related to cleaning specimen records are also being developed, including functions that will remove duplicate data points, check locality precision, and retain only one collection point. To demonstrate the application of this workflow, I will obtain and process data for 25 endangered plant species of Florida. Specifically, I will use herbarium records and environmental data to generate ecological niche models for these species. I will then project these models onto estimated climatic conditions for 2050 and 2070 to predict the distributions of these species in response to climate change. I expect that our models will show that these species will decrease in range and niche breadth. Overall, my research will enable the scientific community to process biodiversity data for analysis, thus contributing to our overall knowledge of Florida plants, their current distributions, and possible future response to climate change.