Youngsang Kwon

Youngsang Kwon

Associate Professor

Office Hours
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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)

  • Giles, K.D., Jackson Jr, W.T., McKay, M.P., Beebe, D.A., Larsen, D., Kwon, Y. and Shaulis, B., (2023). Sediment input, alongshore transport, and coastal mixing in the northeastern Gulf of Mexico based on detrital-zircon geochronology. Marine and Petroleum Geology, 148, p.105997.
  • Arsdale, R.B.V. and Kwon, Y., (2022). Pre-glacial Pliocene Drainage in Manitoba and Western Ontario, Canada. Journal of Geology
  • Ron-Ferguson, N., Chin, J., Kwon, Y. (2021). Leveraging Machine Learning to Understand Urban Change with Net Construction. Landscape and Urban Planning. 216:104239. doi: https://doi.org/10.1016/j.landurbplan.2021.104239.
  • Baker, B.W. and Kwon, Y. (2021). Comparisons of the Spatial Extent of Eastern US Tree Species between Expert-Drawn Little’s Range Map and Forest Inventory and Analysis. The Professional Geographer, pp.1-21.
  • 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; https://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.