The goal of our study was to elucidate the mechanisms by which two invasive aquatic plant species (Myriophyllum spicatum and Potamogeton crispus) interact with native plant communities in lakes in Minnesota, USA. We used an observational dataset of aquatic plant occurrences—and associated light availability, depth, and temperature—to construct probabilistic models of the ecological niches of 34 aquatic plant species. We then compared shared-ness of these niches between the two invasive aquatic plants and 32 native species to infer the degree of direct competitive interaction. This repository contains the complete dataset as a comma-separated-value file and Program R code necessary to replicate the data prep, exploration, analysis, and visualizations presented in the manuscript.
The data file contains species identity, water depth, light availability at substrate, and growing degree days for 353,148 observations of aquatic plants in Minnesota, USA in the time period of 2001-2018. These data were compiled as described in the associated manuscript (https://doi.org/10.3390/d12040162). The Program R code will read in and summarize those data, construct niche models for a subset of the data and complete analyses needed to duplicate the results of the manuscript, and create visualizations used in publication.
Sponsorship: Legislative-Citizen Commission on Minnesota Resources; Minnesota Aquatic Invasive Species Research Center; Minnesota Environmental and Natural Resources Trust Fund; National Science Foundation Graduate Research Fellowship Program under Grant No. CON-75851, project 00074041