Rebecca W. Loraamm, PhD

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Assistant Professor, University of Oklahoma Dept. of Geography and Environmental Sustainability

Research

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My current research interests include issues in wildlife ecology, with special attention paid to urban wildlife species and how they interact with and adapt to human environments. Specifically, my research seeks to quantify wildlife-road interactions by developing new techniques incorporating space and time dynamics as central analysis components. These methods are based in time geography, spatial optimization, suitability modelling, network analysis, point pattern analysis, and movement analysis theories and practice. Additionally, I apply these techniques outside ecological inquiries towards questions of public health and sustainability. Other research interests surround issues in landscape ecology with emphasis on quantifying habitat fragmentation in landscapes impacted by roads and other anthropogenic disturbances. This research is conducted in efforts to better quantify habitat fragmentation; developments thus far include a series of original road-based landscape metrics, enabling more accurate fragmentation measures over multiple spatio-temporal scales.

There is a growing need to address the effects of roadway presence on wildlife. My research quantifies contact between humans and wildlife and develops better methods for mitigating these types of conflicts from two angles: habitat connectivity and wildlife movement. In doing so I have created new, more accurate methods rooted in the fields of landscape ecology and time geography that explicitly address wildlife-road interactions. In the future I would like to extend this work towards additional research tasked with providing actionable information on how, where, and when animal-road encounters might occur in efforts to minimize the effects transportation networks have on wildlife. Check out some of my peer review publications below or on my Google Scholar Profile

Selected Publications

Rebecca Loraamm, Joni A. Downs. (2015) A wildlife movement approach to optimally locate wildlife crossing structures for Florida panthers. International Journal of Geographical Information Science. in press

Joni A. Downs, David Lamb, Garrett Hyzer, Rebecca Loraamm, Zachary J. Smith, Blaire M. O’Neal (2014) Quantifying spatio-temporal interactions of animals using probabilistic space-time prisms. Applied Geography. accepted September/in press

Joni A. Downs, Mark W. Horner, Garrett Hyzer, David Lamb, Rebecca Loraamm. (2014). Voxel-based probabilistic space-time prisms for analysing animal movements and habitat use. International Journal of Geographical Information Science. 28 (5), 875-890

Lin Yuan, Yanbo Huang, Rebecca Loraamm, Chenwei Nie, Jihua Wang, Jingcheng Zhang. (2014) Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects. Field Crops Research. Feb 1, 2014, Vol. 156, p199, 9 p

Jingcheng Zhang, Lin Yuan, Ruiliang Pu, Rebecca Loraamm, Jihua Wang. (2014) Comparison between wavelet spectral features and comparison spectral features in detecting yellow rust for winter wheat. Computers and Electronics in Agriculture, vol 100, pg 79.

Joni A. Downs, Mark W. Horner, Rebecca Loraamm, James H. Anderson, Hyun Kim, Dave Onorato. (2014) Strategically locating wildlife crossing structures for Florida panthers using maximal covering approaches. Transactions in GIS,vol:18, iss:1 pg 46 .

Lin Yuan, Jingcheng Zhang, Ke Wang, Rebecca W. Loraamm, Wenjiang Huang, Jihua Wang, Jinling Zhao. (2013) Analysis of spectral difference between the frontside and backside of leaves in yellow rust disease detection. Precision Agriculture, 14:495-511.

Patrick T Vander Kelen, Joni A Downs, Lillian M Stark, Rebecca W Loraamm, James H Anderson and Thomas R Unnasch. (2012) Spatial Epidemiology of Eastern Equine Encephalitis in Florida. International Journal of Health Geographics, 11:47.

Joni A. Downs, Justin H. Heller, Rebecca Loraamm, Dana Oppenheim, Cassandra McDaniel, Dave Onorato. (2012) Accuracy of home range estimators under assumptions of stationarity and nonstationarity. Ecological Modeling, 225, 66– 73