Email: rsollmann@ucdavis.edu
Office: na Off Campus
Research:
Quantitative ecology, statistical modeling, noninvasive wildlife survey methods, population ecology, wildlife research, carnivore ecology and conservation.
The Sollmann Lab Vision:
Understanding how environmental parameters influence demography, habitat use and distribution of species and communities, and how anthropogenic impacts interact with these processes, is crucial to inform wildlife management and conservation. To generate this understanding, we need models that accurately describe ecological processes, and that disentangle true signals from sampling error to make reliable inference. My work is centered on the development and application of such methods, with special emphasis on statistical models that address common issues in wildlife research such as sparse data or imperfect observation processes.
Education and Experience:
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“Diplom” Biology, Rheinische Friedrich Wilhelms Universität Bonn, Germany, 2006
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Ph.D. Biology, Freie Universität Berlin, Germany, 2011
Current Projects:
- Studying the effect of large, high-severity wildfires on wildlife and ecological networks in the Sierra Nevada.
- Examining the response of wildlife to fuel-reduction treatments in the forests of the Sierra Nevada.
- Large scale study design for population monitoring when integrating multiple data types.
Future Projects:
- Studying the effect of wildfire and forest management on wildlife and ecological networks in the Sierra Nevada (this umbrella topic will cover a number of more specific projects and is a continuation of my ongoing projects).
- Modeling spatio-temporal dynamics of illegal snaring and its effect on mammal populations and communities in Southeast Asia.
- Integrating telemetry data into open population spatial capture-recapture models.
- Spatial capture-recapture models for group-living species.