Verhoeven, Michael RLarkin, Daniel JNewman, Raymond M2020-01-082020-01-082020-01-08https://hdl.handle.net/11299/210254The data file contains ice cover, snowcover, Secchi measurements, and herbicide management information for a set of lakes in MN where curlyleaf pondweed abundance was being measured for within the time period of 2006-2015. These data were compiled as described in the associated manuscript (https://doi.org/10.1111/fwb.13468). The Program R code will read in and summarize those data, evaluate the influence of these environmental and management parameters on abundance of curlyleaf pondweed, and create visualizations used in publication.Curlyleaf pondweed (Potamogeton crispus) is one of the most widespread and widely managed aquatic invasive plants in North America. Despite decades of management, the efficacy of long-term management strategies and the effects of environmental drivers on curlyleaf pondweed populations remain uncertain. To evaluate the effects of management and environmental factors on within-lake distribution and local density of curlyleaf pondweed, we collated monitoring data from aquatic plant point-intercept surveys collected by a variety of lake managers across Minnesota, USA. The goal of the study was to examine the influence of herbicide treatment, water clarity, snow depth, and ice cover duration on curlyleaf pondweed distribution and density between 2006 and 2015. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and visualizations used in the study.Attribution-NonCommercial-ShareAlike 3.0 United Statesmacrophyteinvasive speciesherbicidewinter severityclimate changeDatasethttps://doi.org/10.13020/aw92-e606