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Last modified 15 Jan 2018

Hisashi SATO

Name Hisashi SATO (given name, family name)
Sex Male
Date of Birth March 1972

Position Scientific Researcher
Affiliation Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 3173-25 Showamachi, Kanazawa-ku, Yokohama, 236-0001, JAPAN
Phone +81-45-778-5605
Fax +81-45-778-5706
E-mail hsato _at_ jamstec.go.jp

Research topics

Development of an integrated terrestrial ecosystem model for global changing prediction

While climate condition can strongly influence terrestrial ecosystem, it can also affect the climate, particularly through changes in evapotranspiration, carbon cycle, and albedo. Thus, for providing reliable predictions for the change of global climate, integrated terrestrial ecosystem models that include biogeochemical processes and vegetation dynamics would be required.

To fulfill this need, I, A. Ito, and T. Kohyama are developing a Dynamic Global Vegetation Model (DGVM) that can simulate changes in ecosystem functions (ex: carbon and water flux) as well as ecosystem structures (ex: distribution and composition). This model links several modules, which have different computation time steps. Some of the modules are functions of environmental factors, letting the model simulate ecosystem responses according to environmental changes.

See SEIB-DGVM website for any other information of this study.

[Figure] A snap shot of the simulated forest stand (30m*30m of tempelate mixed-forest). Because spatial hetero-structure plays a central role in vegetation dynamics, this model explicitly treat forest 3D structure using individual-basis modeling approach. Individual tree is composed of crown, stem, and root. Shape of crown and stem are approximated by cylinder. Simulation will be conducted on the T42 global grid (128*64), each of which contains 10 replication forests stands. Thus, assuming 1/3 of the earth surface is terrene, about 27000 independent forest stands will be independently simulated. To date, this would be the most complex ecosystem model that have ever made. It should be noted that the vast computation power of the Earth Simulator[link to other site]capacitates this project. This DGVM will be incorporated into the integrated-earth-system-model of Kyousei2 project.

Previous study topics

Publications with peer review

In English

  1. Sato H, Kobayashi H (2018)
    Topography controls the abundance of Siberian larch forest
    Journal of Geophysical Research - Biogeosciences 123, 106-116
    [DOI link] Open Access
  2. Kaiyu Guan, Stephen P Good, Kelly K Caylor, David Medvigy, Ming Pan, Eric F Wood, Hisashi Sato, Michela Biasutti, Min Chen, Anders Ahlstrom, Xiangtao Xu (2018)
    Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity, and rainy season length
    Environmental Research Letters 13(2)
    [DOI link] Open Access
  3. Takata K, Patra P, Kotani A, Mori J, Belikov D, Ichii K, Saeki T, Ohta T, Saito K, Ueyama M, Ito A, Maksyutov S, Miyazaki S, Burke E, Ganshin A, Iijima Y, Ise T, Machiya H, Maximov T, Niwa Y, O'ishi R, Park H, Sasai T, Sato H, Tei S, Zhuravlev R, Machida T, Sugimoto A, Aoki S (2017)
    Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest
    Environmental Research Letters 12
    [DOI link]
  4. Tei S, Sugimoto A, Maochang L, Yonenobu H, Matsuura Y, Osawa A, Sato H, Fujinuma J, Maximov T (2017)
    Radial Growth and Physiological Response of Coniferous Trees to Arctic Amplification.
    Journal of Geophysical Research: Biogeosciences 122(11), 2786-2803
    [DOI link]
  5. Fisher RA, Koven CD, Anderegg WRL, Christoffersen BO, Dietze MC, Farrior C, Holm JA, Hurtt G, Knox RG, Lawrence PJ, Lichststein JM, Longo M, Matheny AM, Medvigy D, Muller-Landau HC, Powell TL, Serbin SP, Sato H, Shuman J, Smith B, Trugman AT, Viskari T, Verbeeck H, Weng E, Xu C, Xu X, Zhang T, Moorcroft P (2018)
    Vegetation Demographics in Earth System Models: a review of progress and priorities.
    Global Change Biology 24(1) 35-54
    [DOI link]
  6. Tei S, Sugimoto A, Yonenobu H, Matsura Y, Osawa A, Sato H, Fujinuma J, Maximov T (2017)
    Tree-ring analysis and modeling approaches yield contrary response of circumboreal forest productivity to climate change.
    Global Change Biology 23, 5179-5188
    [DOI link]
  7. Kondo M, Saito TM, Sato H, Ichii K (2017)
    Comprehensive synthesis of spatial variability in carbon flux acrossmonsoon Asian forests
    Agricultural and Forest Meteorology, 232, 623-634
    [DOI link] Open Access
  8. Sato H, Kobayashi H, Iwahana G, Ohta T (2016)
    Endurance of larch forest ecosystems in eastern Siberia under warming trends
    Ecology and Evolution, 6(16), 5690-5704
    [DOI link] Open Access
  9. T. Sueyoshi, K. Saito, S. Miyazaki, J. Mori, T. Ise, H. Arakida, R. Suzuki, A. Sato, Y. Iijima, H. Yabuki, H. Ikawa, T. Ohta, A. Kotani, T. Hajima, H. Sato, T. Yamazaki, and A. Sugimoto (2016)
    The GRENE-TEA Model Intercomparison Project (GTMIP) stage 1 forcing dataset
    Earth Syst. Sci. Data, 8, 1-14
    [DOI link] Open Access
  10. S. Miyazaki, K. Saito, J. Mori, T. Yamazaki, T. Ise, H. Arakida, T. Hajima, Y. Iijima, H. Machiya, T. Sueyoshi, H. Yabuki, E. J. Burke, M. Hosaka, K. Ichii, H. Ikawa, A. Ito, A. Kotani, Y. Matsuura, M. Niwano, T. Nitta, R. O'ishi, T. Ohta, H. Park, T. Sasai, A. Sato, H. Sato, A. Sugimoto, R. Suzuki, K. Tanaka, S. Yamaguchi, and K. Yoshimura (2015)
    The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1
    Geosci. Model Dev., 8, 2841-2856
    [DOI link] Open Access
  11. Sato H, Kumagai T, Takahashi A, Katul G (2015)
    Effects of different representations of stomatal conductance response to humidity across the African continent under warmer CO2-enriched climate conditions
    Journal of Geophysical Research - Biogeosciences 120
    [DOI link] Open Access
  12. Sato H, Ito A, Ito A, Ise T, Kato E (2015)
    Current Status and Future of Land Surface Models
    Soil Science and Plant Nutrition 61(1), 34-47
    [DOI link] Open Access
  13. Guan K, Good SP, Caylor KK, Sato H, Wood EF, Li H (2014)
    Continental-scale impacts of intra-seasonal rainfall variability on simulated ecosystem responses in Africa
    Biogeosciences, 11, 6939-6954
    [DOI link]
  14. Ishii S, Sato H, Yamazaki T (2013)
    Geographical variability of relationships among black carbon from wildfires, climate and vegetation in Africa
    Climate Research 57(3), 221-231
    [DOI link] Open Access
  15. Sato H, Ise T (2012)
    Effect of plant dynamic processes on African vegetation responses to climate change: analysis using the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM)
    Journal of Geophysical Research - Biogeosciences 117
    [DOI link] Open Access
  16. Watanabe S, Hajima T, Sudo K, Nagashima T, Takemura T, Okajima H, Nozawa T, Kawase H, Abe M, Yokohata T, Ise T, Sato H, Kato E, Takata K, Emori S, Kawamiya M (2011)
    MIROC-ESM: model description and basic results of CMIP5-20c3m experiments
    Geosci. Model Dev. Discuss., 4, 1063-1128
    [DOI link]
  17. Sato H, Kobayashi H, Delbart N (2010)
    Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM
    Forest Ecology and Management, 259, 301-311
    [DOI link]
  18. Sato H (2009)
    Simulation of the vegetation structure and function in a Malaysian tropical rain forest using the individual-based dynamic vegetation model SEIB-DGVM
    Forest Ecology and Management 257(11), 2277-2286
    [DOI link]
  19. Ise T, Hajima T, Sato H, and Kato T (2009)
    Simulating the two-way feedback between terrestrial ecosystems and climate: Importance of forest ecological processes on global change.
    In Forest Canopies: Forest Production, Ecosystem Health, and Climate Conditions. pp. 111-126. New York, NOVA.
  20. Ise T, H. Sato (2008)
    Representing subgrid-scale edaphic heterogeneity in a large-scale ecosystem model: A case study in the circumpolar boreal regions.
    Geophysical Research Letters 35, L20407., doi:10.1029/2008GL035701
    [DOI link]
  21. Sato H, Itoh A, Kohyama T (2007)
    SEIB-DGVM: A New Dynamic Global Vegetation Model using a Spatially Explicit Individual-Based Approach
    Ecological Modelling 200(3-4), 279-307.
    [DOI link]
  22. Kawamiya M, Yoshikawa C, Sato H, Sudo K, Watanabe S, Matsuno T (2005)
    Development of an Integrated Earth System Model on the Earth Simulator.
    Journal of Earth Simurator 4, 18-30.
  23. Sato H (2002)
    Invasion of unisexuals in hermaphrodite populations of animal-pollinated plants: Effects of pollination ecology and floral size-number trade-offs.
    Evolution 56(12), 2374-2382.
    [DOI link]
    Sato H (2003)
    Invasion of unisexuals in hermaphrodite populations of animal-pollinated plants: effects of pollination ecology and floral size-number trade-offs (ERRATUM)
    Evolution 57(3), 690-690.
    [DOI link] Open Access
  24. Sato H (2002)
    The role of autonomous self-pollination in the evolution of floral longevity in varieties of Impatiens hypophylla (Balsaminaceae).
    American Journal of Botany 89(2), 263-269.
    [link] Open Access
  25. Sato H, Yahara T (1999)
    Trade-offs between flower number and investment to a flower in selfing and outcrossing varieties of Impatiens hypophylla (Balsaminaceae).
    American Journal of Botany 86(12), 1699-1707.
    [link] Open Access
  26. Murakami N, Nishiyama T, Satoh H, Suzuki T (1997)
    Marked spatial genetic structure in three populations of a weedy fern, Pteris multifida Poir., and reestimation of its selfing rate Plant Species Biology 12, 97-106.

In Japanese

  1. Hisashi SATO, Akihiko ITOH, Shoji HASHIMOTO (2018)
    Japanese Journal of Soil Science and Plant Nutrition 89(2)
    Simulating material cycles on land surface at global scales, a review
  2. Sato H (2008),
    Japanese Journal of Ecology 58(1), 11-21.
    Current status and future direction of biogeochemical models, a review
  3. Ito A, Ichii K, Tanaka K, Sato H, Emori S, Oikawa T (2004)
    Tenki 51(4), 227-239.
    Land process models used in earth-system models: State-of-the-Art

Press Releases

Hisashi SATO (22 July 2016)
Siberian Larch Forests Can Persist Despite Permafrost Melting under Forecasted Warming Trends - A new model presents more accurate prediction of global climate changes - [link]

Membership in Professional Organizations

1. Ecological Society of Japan.
2. Meteorological Society of Japan.
3. American Geophysical Union.


Fluent in Japanese; can read, write, and communicate in English.

Curriculum Vitae

Professional Experiences

Current Position

Associate Professor at Graduate School of Environmental Studies, Nagoya University

Researcher at Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology

Postdoctoral research fellow at Biotron Institute, Kyushu Univ.

JSPS [Japan Society for Promotion of Science] Research fellow at Kyushu Univ.


March 2000: Dr. of Science, Kyushu Univ., Advisor: Prof. Tetsukazu YAHARA
Thesis:"Evolutionary study on the mating-system differentiation between two varieties of Impatiens hypophylla (Balsaminaceae)"

March 1997: M.S. of Science, The Kyushu Univ., Advisor: Prof. Tetsukazu YAHARA
Thesis: "Differentiation in floral morphology and its function between two varieties of Impatiens hypophylla"

March 1995: B.S. of Science, The University of Tokyo.

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