Soo-Hyung Kim

  • Professor
  • Byron and Alice Lockwood Endowed Professorship in Forest Resources
    • 206-616-4971

    • Soo-Hyung Kim

    • Professor
    • Byron and Alice Lockwood Endowed Professorship in Forest Resources

    Research areas

    B.S., Crop Science, Seoul National University, Korea
    M.S., Crop Science, Seoul National University, Korea
    Ph.D., Ecology, University of California, Davis, USA

    Soo-Hyung Kim is not currently accepting graduate students.

    Courses

    • ESRM 411 | Plant Propagation (3) - Spring
    • ESRM 478 | Plant Ecophysiology (5) - Winter
    • SEFS 508 | Plant Process and Systems Modeling (3) - Autumn

    Current sponsored projects

    • Climate-Ready Landscape Plants

    • Development of yield prediction technology for vegetable crops based on crop modeling and machine-learning algorithms

    • Development of database on crop responses to climate change for model development and validation

    • Improving crop models for climate-smart agriculture

    Selected publications

    Marcaida M, Farhat Y, Muth EN, Cheythyrith C, Hok L, Holtgrieve G, Hossain F, Neumann R, Kim S-H.2021. A spatio-temporal analysis of rice production in Tonle Sap floodplains in response to changing hydrology and climate. Agricultural Water Management, 258: 107183.

    Ebi KL, Anderson CL, Hess JJ, Kim S-H, Loladze I, Neumann RB, Singh D, Ziska L, Wood R. 2021. Nutritional quality of crops in a high CO2 world: an agenda for research and technology development. Environmental Research Letters, 16: 064045.

    Kim S-H, Hsiao J, Kinmonth-Schultz H. 2020. Advances and improvements in modeling plant processes. In: Boote K, ed. Advances in Crop Modelling for a Sustainable Agriculture. Cambridge, UK: Burleigh-Dodds.

    Yun K, Timlin D, Kim S-H. 2020. Coupled gas-exchange model for C4 leaves comparing stomatal conductance models. Plants, 9: 1358.

    Rho H, Doty SL, Kim S-H. 2020. Endophytes alleviate the elevated CO2-dependent decrease in photosynthesis in rice, particularly under nitrogen limitation. Journal of Experimental Botany, 71: 707-718.

    Hsiao J, Yun K, Moon KH, Kim S-H. 2019. A process-based model for leaf development and growth in hardneck garlic (Allium sativum). Annals of Botany, 124: 1143-1160 Link

    Kinmonth-Schultz HA, MacEwen MJS, Seaton DD, Millar AJ, Imaizumi T, Kim S-H. 2019. An explanatory model of temperature influence on flowering through whole-plant accumulation of FLOWERING LOCUS T in Arabidopsis thaliana. in silico Plants: diz006.

    Hsiao J, Swann ALS, Kim S-H. 2019. Maize yield under a changing climate: The hidden role of vapor pressure deficit. Agricultural and Forest Meteorology, 279: 107692.

    Rho H, Hsieh M, Kandel SL, Cantillo J, Doty SL, Kim S-H. 2018. Do endophytes promote growth of host plants under stress? A meta-analysis on plant stress mitigation by endophytes. Microbial Ecology, 75: 407-418.

    Rho H, Van Epps V, Wegley N, Doty SL, Kim S-H. 2018. Salicaceae Endophytes Modulate Stomatal Behavior and Increase Water Use Efficiency in Rice. Frontiers in Plant Science, 9: 188.

    Yun K, Hsiao J, Jung M-P, Choi I-T, Glenn DM, Shim K-M, Kim S-H. 2017. Can a multi-model ensemble improve phenology predictions for climate change studies? Ecological Modelling, 362: 54-64.

    Jeong JH, Resop JP, Mueller ND, Fleisher DH, Yun K, Butler EE, Timlin DJ, Shim K-M, Gerber JS, Reddy VR, Kim S-H. 2016. Random forests for global and regional crop yield predictions. PLoS ONE, 11: e0156571.