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US Forest Service Research & Development
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  • US Forest Service Research & Development
  • 1400 Independence Ave., SW
  • Washington, D.C. 20250-0003
  • 800-832-1355
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Jamie Sanderlin

Jamie S. Sanderlin

Research Wildlife Biologist (Quantitative Vertebrate Ecologist)
2500 South Pine Knoll Drive
Flagstaff
Arizona
United States
86001

Phone: 928-556-2182
Contact Jamie S. Sanderlin


Current Research

  • 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

Research Interests

  • 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

Past Research

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.

Education

  • 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

Professional Experience

  • 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

Publications

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

Research Highlights

HighlightTitleYear


RMRS-2016-210
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 ...

2016


RMRS-2016-187
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 ...

2016


RMRS-2017-213
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 ...

2017


Last updated on : 07/12/2019