Maine Staff Member
Tristan Nuñez
Assistant Unit Leader
Email: tnunez@usgs.gov
Faculty Email: tristan.nunez@maine.edu
Biography
Dr. Nuñez received a PhD in Environmental Science, Policy, and Management from the University of California, Berkeley and an MS from the University of Washington’s School of Environmental and Forest Sciences. He was an NSF Postdoctoral Fellow at the University of Washington and a Postdoctoral Researcher at the University of Wyoming before joining the Maine Cooperative Wildlife Research Unit in 2023.
Dr. Nuñez is a quantitative ecologist with specific expertise in spatial computational ecology, habitat and distribution modeling, landscape connectivity, and climate adaptation. His work provides wildlife and land management practitioners with models, data, and insights into the dynamics affecting ecosystems in a rapidly changing world. Examples include developing a method to map wildlife corridors in support of climate resilience in partnership with the multi-stakeholder Washington Habitat Connectivity Working Group, leading the first study that tracked hippos with GPS technology, and working with the Idaho Department of Fish and Game and the Wyoming Cooperative Fish and Wildlife Research Unit to develop a maximum-likelihood-based connectivity model optimization methodology to predict mule deer migration corridors. His current interests focus on high-performance computing and the near-term forecasting of ecological phenomena, including plant phenology and animal distributions and movements.
Areas of Expertise
AI/Machine Learning, Anthropogenic Impacts, Behavioral Ecology, Biodiversity, Climate Change, Ecological Services, Forest Ecology, GIS/Spatial Analysis, Habitat Management, Landscape Ecology, Movement Ecology, Policy, Remote Sensing, Resilience, Species Distribution Modeling, Statistics and Modelling, T&E Species Management, Wildlife Management
Taxon Groups Studied
Carnivores, Furbearers, Nongame Fish/Wildlife, Small Mammals, Songbirds, Ungulates, Water/Marsh Birds, Waterfowl
Research Publications | Publication Date |
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Kauffman, M.J. and others. Ungulate Migrations of the Western United States. USGS Scientific Investigations Report | October 2020 |
Project | Completion Date |
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Mapping and conserving big game migration corridors in Wyoming and other western states | December 2028 |
Presentations | Presentation Date |
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Nuñez, T., M. Hurley, J. Fattebert, J. Merkle, A. Ortega, H. Sawyer, T. Graves, M. Kauffman. 2020. Predicting migration corridors: using maximum likelihood to fit corridor models to movement data. 27<sup>th</sup> Annual Conference of The Wildlife Society. Louisville, KY, Sept. 27 – Oct. 1, 2020 | September 2020 |
Nuñez, T., M. Hurley, J. Fattebert, J. Merkle, A. Ortega, H. Sawyer, M. Kauffman. 2020. Predicting migration corridors: using maximum likelihood to fit corridor models to movement data. 2020 North America Congress for Conservation Biology. Denver, Colorado, July 26-31, 2020. | July 2020 |
Nuñez, T. and M. Kauffman. 2024. Can we predict mule deer migration routes? 31st Annual Conference of The Wildlife Society. Baltimore, MD, Oct. 19 – 23, 2024 | October 2024 |
Technical Publications | Publication Date |
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Kauffman, M.J. and others. Ungulate Migrations of the Western United States. USGS Scientific Investigations Report | April 2020 |