Three Decades of Community Science Wildlife Monitoring: Lessons From The City of Ann Arbor’s Bird, Butterfly, Reptile & Amphibian Data
Three Decades of Community Science Wildlife Monitoring: Lessons from the City of Ann Arbor’s Bird, Butterfly, Reptile & Amphibian Data
Ann Arbor, MI
Project Description
In southeastern Michigan, the City of Ann Arbor Parks & Recreation Department's Natural Area Preservation (NAP) division has amassed nearly 30 years of ecological survey data through volunteer-based community science initiatives. These datasets, managed using software like eBird, PollardBase, and Survey123, track the presence, diversity, and distribution of birds, butterflies, and herpetofauna (herps; reptiles and amphibians) within Ann Arbor’s natural areas. We leveraged these extensive datasets to analyze long-term trends across space and time, examining the effects of park characteristics, management activities, and climate change on species abundance, diversity, and composition.
Effective management is essential for protecting urban and peri-urban natural areas, which serve as critical refugia for biodiversity and provide key ecosystem services despite pressures from habitat fragmentation, invasive species, and climate change. Understanding species distributions within these spaces is crucial for guiding conservation and informing management strategies. Moreover, our findings emphasize the importance of knowing and celebrating the existing biodiversity in the City of Ann Arbor's parks for community outreach and education. The results of our analyses highlight key ecological patterns, educating the adaptive management of natural areas in Ann Arbor’s parks, while also guiding volunteers on local wildlife trends and documenting park ecology to support species monitoring and conservation efforts.
Year
2024 - 2025
Project Status
In Progress
Client Organization
The City of Ann Arbor Parks & Recreation Department's Natural Area Preservation (NAP) Division
Students Involved
Ludo Behrendt, Megan Eakin, Michael Enda, Jana Hustedt & Troy Tofil
Explore our Executive Summary for a concise overview of our research, key findings, and insights.
WILDLIFE SURVEY STATISTICS (1995 - 2023)
178,207
Bird Observations
16,617
Butterfly Observations
36,969
Reptile & Amphibian Observations
DATA STANDARDIZATION & ANALYTICAL METHODS
We standardized each dataset to account for variations in survey effort and observer expertise, adjusting methods based on taxonomic group differences. Using R and ArcGIS, we analyzed trends in species abundance, diversity, and composition across spatial and temporal scales. These trends were then assessed in relation to park characteristics, management activities, and climate change to better understand ecological patterns in Ann Arbor parks. For a more in-depth description, view the methods and standardization sections of our report below.
Our analysis shows that management practices, such as invasive species removal and controlled burns, positively affect wildlife biodiversity and support wildlife habitat. Additionally, this data enhances our understanding of species distribution and abundance, providing critical insights for adaptive, data-driven management strategies. These findings will help guide future conservation efforts and ensure the continued health of Ann Arbor’s natural areas. If you would like a comprehensive discussion of our analytical results, below are our findings highlighting ecological trends and the impact of park characteristics, management activities, and climate change on ecosystems in Ann Arbor parks.
Based on our analysis, we recommend continuing active management in high-quality, low-invasive habitats, improving survey tools and data detail, and aligning ecological data with management actions. Future projects should expand wildlife monitoring approaches, deepen species analysis, and track specific restoration outcomes.
For a detailed list of recommendations and future project ideas, click the link above.
SHARING OUR WORK
Our team has proudly presented our research at several conferences to highlight the City of Ann Arbor as a noteworthy case study in community science-based wildlife monitoring. We shared our findings and lessons learned at the Natural Areas Conference 2024, the Stewardship Network Conference 2025, and the SEAS Capstone Conference 2025. These presentations showcased how long-term community science data can drive adaptive management and support biodiversity in urban natural areas. Click the links below to view a recording or explore more details about each presentation.
Ludo's contributions to this project mainly focused on the butterfly survey data standardization and analysis, exploring how butterfly indicator species can be used to infer park habitat heterogeneity, and how this can be used to inform ecological impacts of the City's management practices. His analyses also examined how climate, park size, and habitat diversity affect butterfly distributions over time. Ludovico received his Honors Bachelor's of Science degree from University of Toronto, while studying conservation biology. His interests lie within the fields of ecological restoration and environmental education. In his free time, he enjoys biking and going on hikes with friends.
Jana's contributions to this project focused on analyzing visual herpetofauna survey data to understand ecological trends, explore the relationship between species distributions and site characteristics, and assess the impact of management on this taxon. Originally from Germany, she grew up in Houston, Texas, and completed her Bachelor of Science in Biological Sciences at Colorado State University in 2021. Jana has experience volunteering in wolf conservation, conducting forestry inventories and research, and analyzing long-term community science datasets for multiple research projects. In her free time, she enjoys backpacking, reading, and exploring local coffee shops.
Megan's contributions to this project focused on analyzing the frog and toad calling survey data to determine ecological trends, assess the impacts of management activities on salamanders, and explored patterns related to frog and salamander breeding phenology shifts across Ann Arbor parks and natural areas. Originally born in Iowa, she grew up in Michigan and received her Bachelor's of Science from Central Michigan University in Ecology, Evolution, and Conservation Biology in 2021. Megan has experience in wet lab work, field work, and analyzing community science datasets. Her passions include herpetology and engaging local communities to conservation efforts. Outside of work, she enjoys reading, hanging out with her chickens, and chasing sunsets.
Michael's contributions to this project focused on analyzing spatial and temporal trends in bird observations, developing intermediate variables for use in further analyses, and documenting code for future use by the City and other researchers. He earned a B.S. in Philosophy with a minor in Mathematics from the University of Utah in 2019. At SEAS, Michael approached environmental issues through a social-ecological systems lens and is interested in translating ecological and social science data into actionable insights for policymakers. His goal is to ensure that policy is informed and motivated by the best available understanding of the world around us.
Troy Tofil
M.S. '25 Ecosystem Science & Management; Geospatial Data Sciences
Troy's contributions to this project focused on bird data analysis to explore ecological trends, assess the impacts of management practices, and examine the relationship between climate, spatial data, and park characteristics on avian populations. Originally from Akron, OH, just outside of the Cuyahoga Valley National Park, Troy earned a B.S. in Biology from the Ohio State University in 2021, with minors in Philosophy and Society & Environmental Issues. His research interests include wildlife conservation, natural resource management, and land stewardship, using spatial and ecological data analysis tools to inform decision-making. Outside of work, Troy enjoys outdoor activities, exploring national parks and the Great Lakes, reading, and spending time with loved ones.