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Introduction
Introduction
Lonicera maackii (Amur Honeysuckle) is an invasive shrub in much of the Midwest
It produces leaves much earlier than trees in the canopy, leading to premature shading of plants below
Spring ephemerals flower for only a short period early in the season, usually before the canopy fills out
We are interested mainly in Claytonia virginica (Spring Beauty)
We are presenting data from the '23, '24, and '25 seasons
Claytonia virginica observed in the 2024 Research Period
Hypothesis
Hypothesis
We predict that L. maackii has a significant negative impact on understory temperature and light availability, contributing to truncated and reduced flowering in spring ephemerals.
L. maackii canopy coverage recorded in the 2026 research period
The following is an image of our poster presented at the 2026 Undergraduate Research Forum
2026 Undergraduate Research Forum Poster
NACE Career Readiness Competencies
NACE Career Readiness Competencies
Teamwork:
Throughout the data-recording period, we used extensive teamwork to collect and log data, analyze it, and report on it. The project required each team member to work closely with the others to ensure data collection went smoothly and each day was covered.
Technology:
We utilized multiple technologies throughout the entire research project to collect data on light levels and temperatures, measure canopy cover, identify plants, and store all of our recorded data. Our project was made possible by our team's skills using technology and their ability to adapt to new technologies that were introduced.
Communication:
Our team relied on high levels of communication throughout the project, and demonstrated the necessary skills through discussions, scheduling, and on-time data entries. Our ability to communicate issues and data discrepancies streamlined the entire data collection process, and helped make presentations much cleaner.
Career and Self-Development:
The research experience helped all of us in developing our careers by giving us hands-on research, data collection, and data analytics experience. We were able to learn each team members' strengths and weaknesses, and apply them to optimally complete work.
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