Youngsang Kwon

Youngsang Kwon

Assistant Professor

Office Hours
Call for Hours

Research Interests

Biogeography, Forest Dynamics, Species Distribution Modeling (SDM), Terrestrial Carbon Cycling, RS/GIS, Spatial Statistics, Climate Change

Personal Webpage 


  • 2012 Ph.D. Department of Geography. State University of New York at Buffalo, Buffalo, NY Dissertation: A multi-scale assessment of forest carbon cycling across the eastern USA using Forest Inventory Analysis and MODIS data
  • 2004 M.S. Department of Environment Studies. Seoul National University (SNU), Seoul, Korea Dissertation: Estimating the air temperature cooling effect of the Cheonggyechun stream restoration project of Seoul using Landsat ETM+
  • 2001 B.S. Department of Forest Resources and Environmental Science, Korea University, Seoul, Korea

Selected publications (Download)

  • Neupane, D., Kwon, Y., Risch, T. S., & Johnson, R. L. (2020). Changes in habitat suitability over a two decade period before and after Asian elephant recolonization, Global Ecology and Conservation, https://doi.org/10.1016/j.gecco.2020.e01023.
  • Shin, E., Kwon, Y., & Shaban-Nejad, A. (2019). Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. JAMIA Open. ooz029; https://doi.org/10.1093/jamiaopen/ooz029.
  • Behrman, C., Van Arsdale, R., Kwon, Y., et al. (2019). Drone Geologic Mapping of an Active Sand and Gravel Quarry, DeSoto County, Mississippi. Drones. 3(3), 57; doi:10.3390/drones3030057
  • Kwon, Y., Lee, T., Lang, A., & Burnett, D. (2019). Assessment on latitudinal tree species richness using environmental factors in the southeastern United States. PeerJ. 7:e6781 https://doi.org/10.7717/peerj.6781
  • Kwon, Y., Doty, A., Huffman, M., Rolland, V., Istvanko, D., & Risch, T (2019) Implications of forest management practices on sex-specific habitat use by Nycticeius humeralis. Journal of Mammalogy, gyz088 https://doi.org/10.1093/jmammal/gyz088.
  • Neupane, D., Kwon, Y., Risch, T. S., Williams, A. C., & Johnson, R. L. (2019). Habitat use by Asian elephants: Context matters. Global Ecology and Conservation, e00570.
  • Kwon, Y., & Feng, L. (2019). Investigation of the Peninsula Effect Using the Latitudinal Abundance Pattern for Tree Species in Florida. Diversity, 11(2), 20.
  • Borie, C., Parcero-Oubiña, C., Kwon, Y., Salazar, D., Flores, C., Olguín, L., & Andrade P. (2019). Beyond site detection: the role of satellite remote sensing in analyzing archaeological problems. A case study in lithic resource procurement in the Atacama Desert, northern Chile. Remote Sensing. 11(7), 869.
  • Kwon, Y., Larsen, C. P., & 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.
  • Kwon, Y., & Baker, B. W. (2017). Area-based fuzzy membership forest cover comparison between MODIS NPP and Forest Inventory and Analysis (FIA) across eastern US forest. Environmental monitoring and assessment, 189(1), 19.
  • Choung, S., Oh, J., Han, W. S., Chon, C. M., Kwon, Y., & Shin, W. (2016). Comparison of physicochemical properties between fine (PM2. 5) and coarse airborne particles at cold season in Korea. Science of the Total Environment, 541, 1132-1138.
  • Fryxell, R. T., Moore, J. E., Collins, M. D., Kwon, Y., Jean-Philippe, S.R., Schaeffer, S.M., Odoi, A., Kennedy, M. and Houston, A.E., (2015). Habitat and vegetation variables are not enough when predicting tick populations in the southeastern United States. PloS one, 10(12), e0144092.
  • Kwon, Y., & Larsen, C. P. (2013). Effects of forest type and environmental factors on forest carbon use efficiency assessed using MODIS and FIA data across the eastern USA. International journal of remote sensing, 34(23), 8425-8448.
  • Kwon, Y., & Larsen, C. P. (2013). An assessment of the optimal scale for monitoring of MODIS and FIA NPP across the eastern USA. Environmental monitoring and assessment, 185(9), 7263-7277.
  • Kwon, Y., & Larsen, C. P. (2012). Use of pixel-and plot-scale screening variables to validate MODIS GPP predictions with Forest Inventory and Analysis NPP measures across the eastern USA. International journal of remote sensing, 33(19), 6122-6148.