MOTOMU TODA

Last Updated :2020/07/01

Affiliations, Positions
Graduate School of Integrated Sciences for Life, Associate Professor or Lecturer
E-mail
todamhiroshima-u.ac.jp

Basic Information

Major Professional Backgrounds

  • 2009/04/01, 2012/03/31, Hokkaido University, Assistant Professor (Special Appointment)
  • 2012/04/01, 2019/03/31, Hiroshima University, Graduate School of Biosphere Science , Lecturer

Educational Backgrounds

  • Kyoto University, Japan, 1997/04, 2000/11

Academic Degrees

  • Doctor of Agriculture, Kyoto University

Research Fields

  • Environmental science;Environmental analyses and evaluation;Environmental impact assessment

Research Keywords

  • Terrestrial forest carbon cycling, atmosphere-biosphere interaction, Forest dynamics, Phenology

Affiliated Academic Societies

  • American Geophysical Union

Educational Activity

Course in Charge

  1. 2020, Liberal Arts Education Program1, 3Term, Forests in Environments
  2. 2020, Liberal Arts Education Program1, 3Term, Experimental Methods and Laboratory Work in Biology I
  3. 2020, Liberal Arts Education Program1, 4Term, Experimental Methods and Laboratory Work in Biology II
  4. 2020, Liberal Arts Education Program1, First Semester, Biology
  5. 2020, Undergraduate Education, 3Term, Laboratory Course in Natural Environmental Sciences A
  6. 2020, Undergraduate Education, 3Term, Practical Methods in Natural Environmental SciencesA
  7. 2020, Undergraduate Education, 1Term, Laboratory Course in Natural Environmental Sciences B
  8. 2020, Undergraduate Education, 1Term, Practical Methods in Natural Environmental SciencesB
  9. 2020, Undergraduate Education, 1Term, Introduction to environmentalImpact evaluation
  10. 2020, Undergraduate Education, 2Term, Laboratory Course in Natural Environmental Sciences C
  11. 2020, Undergraduate Education, 2Term, Practical Methods in Natural Environmental SciencesC
  12. 2020, Graduate Education (Master's Program) , 3Term, Climate change and terrestrial biogeochemical cycles -introduction-
  13. 2020, Graduate Education (Master's Program) , 3Term, Climate change and terrestrial biogeochemical cycles -Main issue-
  14. 2020, Graduate Education (Master's Program) , 2Term, Seminar in Integrated Arts and Sciences I
  15. 2020, Graduate Education (Master's Program) , Academic Year, Research for Academic Degree Dissertation in Life and Environmental Sciences
  16. 2020, Graduate Education (Master's Program) , 1Term, Exercises in Life and Environmental Sciences A
  17. 2020, Graduate Education (Master's Program) , 2Term, Exercises in Life and Environmental Sciences A
  18. 2020, Graduate Education (Master's Program) , 3Term, Exercises in Life and Environmental Sciences B
  19. 2020, Graduate Education (Master's Program) , 4Term, Exercises in Life and Environmental Sciences B
  20. 2020, Graduate Education (Master's Program) , 1Term, Introduction to Integrated Arts and Sciences
  21. 2020, Graduate Education (Master's Program) , 3Term, Ecosystem ecology
  22. 2020, Graduate Education (Master's Program) , 2Term, Fundamental Seminar in Integrated Arts and Sciences
  23. 2020, Graduate Education (Doctoral Program) , 2Term, Seminar in Integrated Arts and Scirnces II
  24. 2020, Graduate Education (Doctoral Program) , 4Term, Exercises in Integrated Life Sciences
  25. 2020, Graduate Education (Doctoral Program) , Academic Year, Research for Academic Degree Dissertation in Integrated Life Sciences

Research Activities

Academic Papers

  1. Foliage profiles of individual trees determine competition, self-thinning, biomass and NPP of a Cryptomeria japonica forest stand: A simulation study based on a stand-scale process-based forest model, Ecological Modelling, 230, 2272-2280, 2009
  2. How universal is the C-function in the bulk ABL similarity approach to estimate surface sensible heat flux?, Water Resources Research, 45(45), doi:10.1029/2008WR007390-doi:10.1029/2008WR007390, 2009
  3. 北方森林群落における大気―森林動態相互作用に関する研究, 低温科学, 68, 27-34, 2010
  4. More asymmetric tree competition brings about more evapotranspiration and less runoff from the forest ecosystems: A simulation study, Ecological Modelling, 221, 2887-2898, 2010
  5. Simulating seasonal and inter-annual variations in energy and carbon exchanges and forest dynamics using a process-based atmosphere-vegetation dynamics model, Ecological Research, 26, 105-121, 2010
  6. Photosynthetic recovery of foliage after wind disturbance activates ecosystem CO2 uptake in cool-temperate forest of northern Japan, Journal of Geophysical Research, doi:10/1029/2010JG001611-doi:10/1029/2010JG001611, 2011
  7. Transitional features of the ecosystem state and carbon dynamics after an episodic typhoon disturbance in a northern forest in Japan, Low Temperature Science, 73, 21-29, 2015
  8. Estimation of plant area index and phenological transition dates from digital repeat photography and radiometric approaches in a hardwood forest in the Northeastern United States, AGRICULTURAL AND FOREST METEOROLOGY, 249, 457-466, FEB 15 2018
  9. Using digital cover photography to track the canopy recovery process following a typhoon disturbance in a cool-temperate deciduous forest, CANADIAN JOURNAL OF FOREST RESEARCH, 48(7), 740-748, JUL 2018
  10. Photosynthetically distinct responses of an early-successional tree, Betula ermanii, following a defoliating disturbance: observational results of a manipulated typhoon-mimic experiment, TREES-STRUCTURE AND FUNCTION, 32(6), 1789-1799, 201812
  11. A Bayesin inversiyon framework to evaluate parametre and predictive inference of a simple soil respiration model in a cool-temperate forest in western Japan., Ecological Modelling, 418, 2020

Publications such as books

  1. 2015/.1/0., Handbook of Low Temperature Science, 2015, 10, J, 383, 9

Invited Lecture, Oral Presentation, Poster Presentation

  1. Phenology research in cool-temperate forests with a focus on evaluations of their response to changing climate, Motomu Toda, 2017/08/08, Without Invitation, SUFONAMA scholarship, Goettingen University
  2. Detection of photosynthetic responses of cool-temperate forests following extreme climate events using Bayesian inversion, Toda, M., Knohl, A., Herbst, M., Keenan, T.F., Yokozawa, M., Toda, M., Knohl, A., Herbst, M., Keenan, T.F., Yokozawa, M., American Geophysical Union, 2016/12/16, Without Invitation, AGU, SFC