Chris Larsen

PhD

Chris Larsen.

Chris Larsen

PhD

Chris Larsen

PhD

Research Areas

conservation biogeography, forest ecology, historical ecology, Native American impacts, wildfire.

Contact Information

124 Wilkeson Quad

Phone: (716) 645-0488

larsen@buffalo.edu

Education

  • PhD in Geography, McMaster University, 1994. 
  • MSc in Geography, McMaster University, 1989. 
  • BSc in Geography, University of Calgary, 1984.

Recent Publications

  • * denotes student advisee
    1.      Tuowiecki, S.J., Robertson, D. and Larsen, C.P.S. 2019. Oak savannas in western New York, circa 1795: Synthesizing predictive spatial models and historical accounts to understand environmental and Native American influences. Annals of the American Association of Geographers doi.org/10.1080/24694452.2019.1629871
    2.      Wei*, X. and Larsen, C.P.S. 2019. Methods to detect edge effected reductions in fire frequency in simulated forest landscapes. ISPRS Journal of Geo-Information 8 (6): 277, 1-18.
    3.      Wei*, X. and Larsen, C.P.S. 2018. Assessing the minimum number of time since last fire sample-points required to estimate the fire cycle: influences of fire rotation length and study area scale. Forests 9 (11): 708, 1-19.
    4.      Kwon, Y., Larsen, C.P.S., and Lee, M. 2018. Tree species richness predicted using a spatial environmental model including forest area and frost frequency, eastern USA. PLoS ONE 13(9): e0203881, 1-16.
    5.      Thompson, D.K., Parisien, M.A., Morin, J., Millard, K., Larsen, C.P.S. and Simpson, B.N. 2017. Fuel accumulation in a high-frequency boreal wildfire regime: from wetland to upland. Canadian Journal of Forest Research. 47: 957-964.
    6.      Tulowiecki*, S.J. and Larsen, C.P.S. 2015. Native American impacts on past forest composition inferred using species distribution models, Chautauqua County, New York. Ecological Monographs. 85: 557-581.
    7.      Larsen, C.P.S., Tulowiecki*, S.J., Wang, Y-C., and Trgovac*, A.B. 2015. Predicting historic forest composition using species lists in presettlement land survey records, Western New York.  Applied Vegetation Science 18: 481-492.
    8.      Tulowiecki*, S.J., Larsen. C.P.S., and Wang, Y-C. 2015. Effects of positional error on modeling species distributions: a perspective using presettlement land survey records. Plant Ecology 216: 67-85.
    9.      Kwon*, Y. and Larsen. C.P.S. 2013. Effects of forest type and environmental factors on forest carbon use efficiency (CUE) assessed using MODIS and FIA data across the eastern USA. International Journal of Remote Sensing 34: 8425-8448.
    10.   Kwon*, Y. and Larsen. C.P.S. 2013. An assessment of the optimal scale for the validation and mapping of MODIS NPP using FIA NPP across the eastern US.  Environmental Monitoring and Assessment 185: 7263-7277.
    11.   Kwon*, Y. and Larsen, C.P.S. 2012. Use of pixel- and plot-scale screening variables to validate MODIS GPP predictions with Forest Inventory and Analysis NPP measures across the eastern. International Journal of Remote Sensing 33: 6122-6148.
    12.   Larsen, C.P.S., Kronenfeld B.J. and Wang, Y.-C. 2012. Forest composition: more altered by future climate change than by Euro-American settlement in western New York and Pennsylvania? Physical Geography 33: 3-20.
    13.   Wang, Y.-C., Larsen, C.P.S. and Kronenfeld, B.J. 2010. Effects of clearance and fragmentation on forest compositional change and recovery after 200 years in western New York.  Plant Ecology 208: 245-258.

Courses Taught

  • GEO 106: Earth Systems Science 2 - Climate Change
  • GEO 356: Forest Ecology
  • GEO 435/515: Conservation Biogeography