Jamie S. Sanderlin
Research Wildlife Biologist (Quantitative Vertebrate Ecologist)
2500 South Pine Knoll Drive
Contact Jamie S. Sanderlin
- Evaluating fire effects on bird and small mammal communities
- Developing sampling designs and optimizing resources for monitoring programs
- Developing Bayesian hierarchical models to evaluate wildlife population and community dynamics
- Using citizen science to monitor wildlife populations and communities
- Developing methods and sampling designs for combining multiple data sources (data integration)
- Assessing large-scale effects of wildfire and climate change on bird and vegetation communities in the Sky Islands, Arizona
- Wildlife genomics and bioinformatics of greater sage-grouse
- Lifetime reproductive success of northern goshawks
- Population and community dynamics
- Wildlife genomics and bioinformatics
- Bayesian statistics and hierarchical models
- Data integration
- Mark-recapture and occupancy models with ecological applications
- Cost-effective sampling designs
- Modeling genotyping error with genetic mark-recapture studies
- Utilizing citizen science within monitoring programs
Jamie Sanderlin worked on several quantitative projects before joining the USDA Forest Service, including:
- Developed a Bayesian statistical model to call SNP genotypes using Next Generation Sequencing technology for inference on New Zealand sheep SNP discovery
- Developed a Bayesian state-space model to estimate population abundance, survival, and recruitment from molecular parentage data
- Ph.D. Dissertation in Wildlife Ecology and Management: Integrated demographic modeling and estimation of the central Georgia, USA, black bear population
- M.S. Statistics Thesis: Misidentification error in non-invasive genetic mark-recapture sampling: case study with the central Georgia black bear population
- Honors Thesis: Modeling patterns of dispersal in banner-tailed kangaroo rats, Dipodomys spectabilis, using capture-recapture data with the multi-strata, robust design
Why This Research is Important
Innovative quantitative approaches are needed to study wildlife species, especially species of special concern for National Forest Systems, since these species often occur at low densities and within patchy distributions. Jamie Sanderlin develops analytical applications for several collaborative projects in the realm of quantitative ecology, statistics, and bioinformatics.
- University of Georgia, Ph.D. Wildlife Ecology and Management 2009
- University of Georgia, M.S. Statistics 2009
- Purdue University, B.S. Ecology, Evolutionary, and Population Biology 2002
- Post-doctoral Scientist (Quantitative Vertebrate Ecologist), Rocky Mountain Research Station, Wildlife and Terrestrial Ecosystems, USDA Forest Service
2011 - 2014
- Post-doctoral Fellow, University of Otago, Department of Mathematics and Statistics
2009 - 2011
Featured Publications & Products
- Sanderlin, Jamie S.; Block, William M.; Ganey, Joseph L. 2014. Optimizing study design for multi-species avian monitoring programmes.
- Sanderlin, Jamie S.; Waser, Peter M.; Hines, James E.; Nichols, James D. 2012. On valuing patches: estimating contributions to metapopulation growth with reverse-time capture-recapture modeling.
- Ganey, Joseph L; Iniguez, Jose M.; Sanderlin, Jamie S.; Block, William M. 2017. Developing a monitoring program for bird populations in the Chiricahua Mountains, Arizona, using citizen observers: Initial stages.
- Latif, Quresh; Sanderlin, Jamie; Saab, Vicki; Block, William; Dudley, Jonathan. 2016. Avian relationships with wildfire at two dry forest locations with different historical fire regimes.
- Reynolds, Richard T.; Lambert, Jeffrey S.; Kay, Shannon L.; Sanderlin, Jamie S.; Bird, Benjamin J. 2019. Factors affecting lifetime reproduction, longterm territory-specific reproduction, and estimation of habitat quality in northern goshawks.
- Sanderlin, Jamie S.; Block, William M.; Strohmeyer, Brenda E.; Saab, Victoria A.; Ganey, Joseph L. 2019. Precision gain versus effort with joint models using detection/non detection and banding data.
- Miller, David A. W.; Pacifici, Krishna ; Sanderlin, Jamie S.; Reich, Brian J. 2019. The recent past and promising future for data integration methods to estimate species distributions.
- Miller, Sue ; Sanderlin, Jamie ; Ganey, Joe . 2018. A feather in their cap: Using citizen monitoring to track post-wildfire bird communities in the Arizona Sky Islands.
- Sanderlin, Jamie S.; Block, William M.; Strohmeyer, Brenda E. 2016. Long-term post-wildfire correlates with avian community dynamics in ponderosa pine forests Chapter J.
- Ganey, Joseph L.; Block, William M.; Sanderlin, Jamie S.; Iniguez, Jose M. 2015. Comparative nest-site habitat of painted redstarts and red-faced warblers in the Madrean Sky Islands of southeastern Arizona.
- Schwartz, Michael K.; Sanderlin, Jamie S.; Block, William M. 2015. Manage habitat, monitor species Chapter 10.
- Stan, Amanda B.; Fule, Peter Z.; Ireland, Kathryn B.; Sanderlin, Jamie S. 2014. Modern fire regime resembles historical fire regime in a ponderosa pine forest on Native American land.
- Sanderlin, Jamie S.; Block, William M.; Ganey, Joseph L.; Iniguez, Jose M. 2013. Preliminary assessment of species richness and avian community dynamics in the Madrean Sky Islands, Arizona.
- Sanderlin, Jamie S.; Lazar, Nicole; Conroy, Michael J.; Reeves, Jaxk. 2012. Cost-efficient selection of a marker panel in genetic studies.
Citations of non US Forest Service Publications
- Sanderlin, J. Skvarla. 2009. Integrated demographic modeling and estimation of the central Georgia, USA, black bear population. Ph.D. Dissertation. Wildlife Ecology and Management, Warnell School of Forestry and Natural Resources, University of Georgia.
Sanderlin, J. Skvarla. 2009. Misidentification error in non-invasive genetic mark-recapture sampling: case study with the central Georgia black bear population. M.S. Thesis. Department of Statistics, University of Georgia.
Sanderlin, J. Skvarla, B. Faircloth, B. Shamblin, and M. Conroy. 2009. Tetranucleotide microsatellite loci from the black bear (Ursus americanus). Molecular Ecology Resources 9:288-291.
Jangid, K., M. Williams, A. Franzleubbers, J. Sanderlin, J. Reeves, M. Jenkins, D. Endale, D. Coleman, W. Whitman. 2008. Relative impacts of land-use, management intensity and fertilization upon soil microbial communities in agricultural systems. Soil Biology and Biochemistry 40:2843-2853.
Skvarla, J., J. Nichols, J. Hines, and P. Waser. 2004. Modeling interpopulation dispersal by banner-tailed kangaroo rats. Ecology 85(10):2737-2746.
Skvarla, J. 2002. Modeling patterns of dispersal in banner-tailed kangaroo rats, Dipodomys spectabilis, using capture-recapture data with the multi-strata, robust design. Honors Thesis. Ecology, Evolution, and Population Biology, Purdue University
|Contemporary Fire Effects on Birds Dependant on Historical Fire Regime|
Wildfire strongly shapes landscape structure and animal communities in dry forests of western North America. Forest Service research documents r ...
|Monitoring Bird Communities with Citizen Science in the Sky Islands|
The Sky Islands of southeastern Arizona have bird species found nowhere else in the U.S., which leads to a vibrant state and local ecotourism in ...
|Using habitat requirements of woodpeckers to design post-fire salvage logging|
Can we conduct economically-beneficial forest management while maintaining wildlife populations in recently burned forests? Study shows trade-of ...