Publications

Original paper with peer review (in English)

(Last updated: 12 Oct. 2024)

  • Nurrohman RK, Kato T, Ninomiya H, Vegh L, Delbart N, Miyauchi T, Sato H, Shiraishi T, Hirata R [2024] Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model. Egusphere, 21(18), 4195-4227. [DOI link]
  • Zhang R, E X, Ma Z, An Y, Bao Q, Wu Z, Wu L, Sun Z (2024). Drought Sensitivity and Vulnerability of Rubber Plantation GPP-Insights from Flux Site-Based Simulation. Land, 13(6). [DOI link]
  • Zhang RQ, Xiong Q, Wu L, Wang P, Kong JY, Shi X, Sun ZY (2024). Water supply following drought: Effects on drougth legacy and resilience in a tropical forest – A case study in Xishuangbanna, China. Ecological Informatics, 79. [DOI link]
  • Vegh L, Kato T (2023) Modified SEIB-DGVM enables simulation of masting in a temperate forest. Ecological Modelling, 488. [DOI link]
  • Ninomiya H, Kato T, Vegh L, and Wu L (2023) Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0). Geoscientific Model Development, 16(14), 4155-4170. [DOI link]
  • Sato H, Shibuya M, Hiura T (2023) Reconstructing spatiotemporal dynamics of mixed conifer and broad-leaved forests with a spatially explicit individual-based dynamic vegetation model. Ecological Research, 38(3), 465-478. [DOI link]
  • Tong S, Wang W, Chen J, Xu C, Sato H, Wang G. (2022) Impact of changes in climate and CO2 on the carbon storage potential of vegetation under limited water availability using SEIB-DGVM version 3.02. Geoscientific Model Development, 15, 7075-7098. [DOI link]
  • Yoshikai M, Nakamura T, Suwa R, Sharma S, Rollon R, Yasuoka J, Egawa R, Nadaoka K (2022) Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics. Biogeosciences, 19, 1813-1832. [DOI link]
  • Li S, Wang Y, Ciais P, Sitch S, Sato H, Shen M, Chen X, Ito A, Wu C, Kucharik C, Yuan W (2022) Deficiencies of phenology models in simulating spatial and temporal variations in temperate spring leaf phenology. Journal of Geophysical Research – Biogeosciences, 127(3), e2021JG006421. [DOI link]
  • Arakida H, Kotsuki S, Otsuka S, Sawada Y, Miyoshi T (2021) Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia. Prog Earth Planet Sci, 8, 52. [DOI link]
  • Sato H, Kobayashi H, Beer C, Fedorov A (2020) Simulating interactions between topography, permafrost, and vegetation in Siberian larch forest. Environmental Research Letters, 15, 095006. [DOI link] 
  • Pugh TAM et al. (2020) Understanding the uncertainty in global forest carbon turnover. Biogeosciences, 17, 3961-3989. [DOI link]
  • Wu L, Kato T, Sato H, Hirano T, Yazaki T (2019) Sensitivity analysis of the typhoon disturbance effect on forest dynamics and carbon balance in the future at a cool-temperate forest in northern Japan by using SEIB-DGVM. Forest Ecology and Management, 451. [DOI link]
  • Guan K, Good S, Caylor K, et al. (2018) Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity, and rainy season length. Environmental Research Letters, 13(2) [DOI link]
  • Takata K, Patra P, Kotani A, et al. (2017) Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest. Environmental Research Letters. [DOI link]
  • Tei S, Sugimoto A, Maochang L et al., (2017) Radial Growth and Physiological Response of Coniferous Trees to Arctic Amplification. Journal of Geophysical Research: Biogeosciences, 122(11), 2786-2803. [DOI link]
  • Arakida H, Miyoshi T, Ise T, et al. (2017) Non-Gaussian data assimilation of satellite-based leaf area index observations with an individual-based dynamic global vegetation model. Nonlin. Processes Geophys. 44, 553-567. [DOI link] 
  • Tei S, Sugimoto A, Yonenobu H, et al. (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]
  • 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]
  • Arakida H, Miyoshi T, Ise T, et al. (2016) Non-Gaussian data assimilation of satellite-based Leaf Area Index observations with an individual-based dynamic global vegetation model. Nonlin. Processes Geophys. Discuss. [DOI link] 
  • 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] 
  • 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]
  • 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] 
  • 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. [DOI link] 
  • Suwa R (2012) Evaluation of the wave attenuation function of a coastal black pine Pinus thunbergii forest using the individual-based dynamic vegetation model SEIB-DGVM. Journal of Forest Research, 17 [DOI link]
  • 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. 4, 845-872. [DOI link] 
  • Ito A (2011) Mega fire emissions in Siberia: potential supply of bioavailable iron from forests to the ocean. Biogeosciences, 8, 1679-1697. [DOI link]
  • Fujii S, Kubota Y (2011) Understory thinning reduces wood-production efficiency and tree species diversity in subtropical forest, southern Japan. Journal of Forest Research, 16:253-259. [DOI link]
  • Ito A, Ichii K, Kato T (2010) Spatial and temporal patterns of soil respiration over the Japanese Archipelago: a model intercomparison study. Ecological Research, DOI 10.1007/s11284-010-0729-8. [DOI link]
  • Fujii S, Kubota Y, Enoki T (2010) Long-term ecological impacts of clear-fell logging on tree species diversity in a subtropical forest, southern Japan. Journal of Forest Research 15, 289-298. [DOI link]
  • 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]
  • Fujii S, Kubota Y, Enoki T (2009) Resilience of stand structure and tree species diversity in subtropical forest degraded by clear logging. Journal of Forest Research. [DOI link]
  • Ichii K, Suzuki T, Kato T, Ito A, Hajima T, Ueyama M, Sasai T, Hirata R, Saigusa N, Ohtani Y, and Takagi K (2009) Multi-model analysis of terrestrial carbon cycles in Japan: reducing uncertainties in model outputs among different terrestrial biosphere models using flux observations. Biogeosciences, 6, 8455-8502. [DOI link]
  • 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. New York, NOVA.
  • 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:10.1016/j.foreco.2009.03.002. [DOI link]
  • Ise T, Sato H (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 link]
  • 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]
  • 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. [PDF] [DOI link]

Original paper with peer review (in Japanese)

  • Sato H (2008) Current status and future direction of biogeochemical models, a review
    Japanese Journal of Ecology 58(1), 11-21. [DOI link]
  • Ito A, Ichii K, Tanaka K, Sato H, Emori S, Oikawa T (2004) Land process models used in earth-system models: State-of-the-Art. Tenki 51(4), 227-239.