Browsing by Author "Verhoeven, Michael R"

Now showing 1 - 4 of 4
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    Complete Data and Analysis for: Constraining invader dominance: Effects of repeated herbicidal management and environmental factors on curlyleaf pondweed dynamics in 50 Minnesota lakes
    (2020-01-08) Verhoeven, Michael R; Larkin, Daniel J; Newman, Raymond M; michael.verhoeven.mrv@gmail.com; Verhoeven, Michael R; Minnesota Aquatic Invasive Species Research Center
    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.
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    Complete Data and Analysis for: Effects of seed traits and dormancy break treatments on germination of four aquatic plant species
    (2023-06-29) Verhoeven, Michael R; Bacon, Jonah A; Larkin, Daniel J; michael.verhoeven.mrv@gmail.com; Verhoeven, Michael; Minnesota Aquatic Invasive Species Research Center
    This repository contains the raw data and code necessary to conduct the analyses in the companion paper.
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    Complete data and statistical code for: Diversity of bumble bees and butterflies in Minnesota roadsides depends on floral diversity and abundance but not floral native status
    (2024-01-25) Darst, Ashley L; Verhoeven, Michael R; Mitchell, Timothy S; Evans, Elaine; Tonsfeldt, Luke; Kjaer, Savannah; Snell-Rood, Emilie C; darstash000@gmail.com; Darst, Ashley L
    The goal of our study was understand how roadside pollinator communities respond to planting pollinator-friendly seed mixes in roadsides in Minnesota, USA. We used a field study of mixed-age roadside plantings to assess this response by comparing bumble bee and butterfly communities in roadsides planted with status quo non-native seed mixes to those planted with pollinator friendly, native seed mixes. We show that while pollinator diversity is positively related to floral diversity in roadside plantings, the pollinator diversity in roadsides planted with pollinator-friendly native seed mixes was not different from those planted with status quo non-native seed mixes. This repository contains the complete datasets as a comma-separated-value files and Program R code necessary to replicate the data prep, exploration, analysis, and visualizations presented in the manuscript.
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    Complete data and statistical code for: Seeding roadsides is necessary but not sufficient for restoring native floral communities
    (2024-06-13) Mitchell, Timothy S; Verhoeven, Michael R; Darst, Ashley L; Patterson, Cate; Snell-Rood, Emilie C; tsmitchell09@gmail.com; Mitchell, Timothy S
    These data were collected in support of a Minnesota Department of Transportation funded study evaluating roadside plantings. The goal of our study was understand how roadside pollinator forage is affected by planting pollinator-friendly seed mixes in roadsides in Minnesota, USA. We used a field study of mixed-age roadside plantings to assess this flower diversity in roadsides planted with status quo non-native seed mixes to those planted with pollinator friendly, native seed mixes. We found that while these native seed mixes did increase the abundance of native flowers, the roadsides' flower communities of native and non-native seedmixes converged through time to grass dominated and unplanted colonizing species. This repository contains the complete datasets as a comma-separated-value files and Program R code necessary to replicate the data prep, exploration, analysis, and visualizations presented in the manuscript.