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  4. Shitephen Wang
 

Shitephen Wang

王仁

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OrganizationRole
Forestry and Resource Conservation  
Assistant Professor
Web Site
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NTU forests
Tel
+886 2 3366 4640
Add.
Room 315, No. 1, Sec. 4, Roosevelt Road, Taipei, 106319 Taiwan(R.O.C)
Email
shitephenwang@ntu.edu.tw
Email
gn03138868@gmail.com
Scopus Author ID
57190396778
Researcher ID
0000-0003-2719-7459
Biography
My research mainly focuses on quantifying the biomass in forests and the physiological responses of plants in ecosystems using mathematical and stable isotope methods. A recurring theme in my research is the utilisation of theory-based summary quantification with machine learning techniques to capture linchpin aspects of natural systems. Quantifying biomass in forests is central to estimating the carbon stocks and sinks (CSSs) in terrestrial ecosystems. One main strand of my research quantifies biomass and CSSs in ecosystems. [1] synthesis results in the agriculture and forestry sectors, including results of biomass and CSSs investigation in bamboo species from [2-6]. Among all land use types, the CSS of bamboo forests is more difficult to estimate than that of forests and fields. Thus, [7] indicates that the aboveground and belowground parts of bamboo forests are more irregular than trees due to mature bamboo transferring carbohydrates to immatures via rhizome systems. To conquer the problem of estimating CCSs in divergent forests, [8] builds a hybrid machine-learning algorithm, and finds the key factors for precisely estimating the CSSs are temperature in situ, leaf net primary production, and protein content in organs. A second agenda studies how carbon transfers from mature individuals to young individuals and what kinds of fundamental physiological mechanisms are behind them using plant physiological parameters, quantification of carbohydrates, isotope labelling with mathematical and machine-learning methodologies. [7] measures dynamics of photosystem II throughout the year and quantifies non-structural and structural carbohydrates between individuals of different ages. We design an individual carbon budget model and demonstrate that even young individuals who are already productive partially receive carbohydrates stored in the entire bamboo forest society in the early stages of facing abiotic stress. We then further hypothesise that mature individuals will also provide carbohydrates to unproductive immature individuals. [9] reveals that when immature bamboo individuals are in the fast-growing period, the main carbon source is carbohydrates synthesised from the leaves of mature individuals, and rejects that the carbon source is synthesised by C4 photosynthesis itself. [10] find direct evidence that mature individuals provide carbohydrates to bamboo shoots by using the stable isotope 13CO2 to label mature individuals. [11] designs a partial equilibrium model of the carbon budget of the entire bamboo forest based on protein content with stable isotope labelling experiments to describe the seasonal dynamics of the carbon cycle in the bamboo forest. [12-13] uses a non-destructive sampling scanning method combined with a deep learning model to estimate the hourly dynamics of root growth of various trees. This can effectively remove most of the treatment effects in estimating root growth in a very short time scale. A third strand of my research involves simulating the future impacts of climate change on ecosystems and evaluating the costs and benefits of environmental policy implementation on carbon sequestration and its effects on human society and the economy. Using data compiled in [1], [14] applies general equilibrium and agricultural DNDC models to estimate greenhouse gas emissions baselines. [15-16] pick up the mitigation and adaptation measures, and then we assess the impact of various climate policies on society and the economy. We have established demos for accurately estimating growth and ecosystem productivity for species or forest tree organs that are difficult to estimate. In the future, it is hoped that a partial equilibrium model based on protein content and stable isotopes can be constructed on a global scale. References [1] Taiwan Environmental Protection Administration (2022). National Greenhouse Gas Inventory Report (NIR). Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan. (Wang, S. was a main editor in CRF Sector 3 & 4 during 2017-2019, and one of the field investigators of biomass in pine, juniper, cryptomeria, and all bamboo species during 2008-2014) https://unfccc.saveoursky.org.tw/nir/2022nir/uploads/00_abstract_en.pdf [2] Chen, T. H., Wong, D. S., Wang, S.* (2016). The trend of growth characteristics of Moso bamboo (Phyllostachys pubescens) forests under an unmanaged condition in central Taiwan. Taiwan Journal of Forest Science, 31(2), 75-87. [3] Chen, T. H., Liu, C. P., Wang, S.* (2015). The stand structure and biomass of Bambusa oldhami plantations in Wugu, New Taipei and Longqi, Tainan. Quarterly Journal of Forest Research, 37(3), 209-218. [4] Chen, T. H., Liao, T. S., Chung, Y. J., Wang, S.* (2014). The stand structure and biomass of Dendrocalamus Latiflorus plantations in Liukuei, Kaohsiung and Baihe, Tainan. Quarterly Journal of Forest Research, 36(4), 263-272. [5] Chen, T. H., Chiu, C. Y., Xie, Z. Y., Wang, S.* (2014). Growth characteristics of moso bamboo (Phyllostachys Pubescens) plantations at various altitudes-for instance in Daan Area, Nantou County. Quarterly Journal of Chinese Forestry, 47(2), 181-192. [6] Wang, S., Chen, T. H., Chang, H. C., Chung, H. Y., Li, T. I., Liu, C. P.* (2009). Structures, Aboveground Biomass, Carbon Storage of Phyllostachys pubescens Stands in Huisun Experimental Forest Station and Shi-Zhuo. Quarterly Journal of Forest Research, 31(4), 17-26. [7] Wang, S., Chen, T. H., Liu, E. U. and Liu, C. P.* (2020). Accessing the nursing behaviour of Moso bamboo (Phyllostachys edulis) on carbohydrates dynamics and photosystems. Scientific Reports, 10, 1015. [8] Wang, S.*, Kobayashi, K., Takanashi, S., Liu, C. P., Li, D. R., Chen, S. W., Cheng, Y. T., Moriguchi, K., Dannoura, M. (2023). Estimating divergent forest carbon stocks and sinks via a knife set approach. Journal of Environmental Management, 330, 117114. [9] Wang, S.*, Epron, D., Kobayashi, K., Takanashi, S., Dannoura, M. (2023). Sources of carbon supporting the fast growth of developing immature moso bamboo (Phyllostachys edulis) culms: inference from carbon isotopes and anatomy. Annals of Botany Plants, 15(4), 1-11. [10] Wang, S.*, Kobayashi, K.*, Takanashi, S.*, Epron, D.*, Dannoura, M.* The process of transferring carbohydrates from mature bamboos to young shoots in a Phyllostachys edulis stand revealed by 13C pulse labelling in situ. (submitting) [11] Wang, S.*, Kobayashi, K., Dannoura, M., Takanashi, S., Fukushima, K., Onish, Y., Kitayama, K., Onoda, Y., Kominami, Y. (2021). Seasonal dynamics of carbon allocation between different organs in Phyllostachys edulis (Moso bamboo) forests. The Japanese Forest Society Congress, 132(0), 473. [12] Wang, S.*, Yasue, K., Ohashi, M., Ikeno, H., Yabuki, A., Dannoura, M. (2023). Analysis of fine root growth dynamics of larch, cedar, and cypress using scanning method with convolutional neural network. The Japanese Society for Root Research (JSRR) conference, 58(0), P15. [13] Wang, S.*, Nose, M., Hirao, T., Yabuki, A., Dannoura, M. (2024). Analysis of fine root growth dynamics of Japanese cedar in three clones using scanning method with convolutional neural network. The Japanese Society for Root Research (JSRR) conference, 59(0), B09. [14] Hsu, S. M., Wang, S., Lee, D. H., Lin, H. C., Su, J. J., Chiou, C. R., Chang, C. C. and Hsu, S. H.* (2020). Greenhouse gas (GHG) baseline forecasting for Taiwan's agricultural sector using the dynamic computable general equilibrium (CGE) approach. Taiwan Economic Forecast and Policy, 51(1), 111-157. [15] Chou, M. F., Hsu, S. H., Chen, C. L., Chiu, C. R., Wang, Y. W.*, Wang, S.* (2019). The report of COA participated in "The 24th Conference of the Parties to the United Nations Framework Convention on Climate Change, the 14th Conference of the Parties to the Kyoto Protocol and the 1-3rd Conference of the Parties to the Paris Agreement (COP24/CMP14/CMA1-3)". Executive Yuan, R.O.C. Taiwan. [16] Liu, J. I., Lin, J. C., Hsu, S. H., Lin, Y. R., Cheng, M. R., Chen, C. L., Lin, S. Z., Chang, C. Y.*, Wang, S.* (2018). The report of COA participated in "The 23th Conference of the Parties to the United Nations Framework Convention on Climate Change, the 13th Conference of the Parties to the Kyoto Protocol and the 1-2rd Conference of the Parties to the Paris Agreement (COP23/CMP13/CMA1-2)". Executive Yuan, R.O.C. Taiwan.
Research Interests
bamboo forest utilisation
carbon cycle
plant photosynthesis
machine learning
climate change
computable general equilibrium
Organization
OrganizationMajorRoleStartEnd
Kyoto University, Kyoto, Japan
Graduate School of Agriculture
Ph.D.
April 1, 2019
March 24, 2022
Organization
OrganizationDeptTitleStart
National Taiwan University
Forestry and Resource Conservation
Asistant Professor
August 1, 2025
Organization
OrganizationDeptTitleStartEnd
Kyoto University
Agriculture
postdoctoral researcher
April 2022
July 31, 2025
Japan Society for the Promotion of Science
Research Fellow
April 1, 2020
March 31, 2022
Academia Sinica
Institute of Economics
predoctoral researcher
March 14, 2017
March 31, 2019
Executive Yuan
UNFCCC COP24 Representor
December 2, 2018
December 14, 2018
Executive Yuan
UNFCCC COP23 Representor
November 6, 2017
November 17, 2017
JEIB group
Sanoya LTD.
Quant Researcher
September 1, 2015
March 31, 2017
Taiwan Forestry Research Institute
Research Assistant
October 2013
August 31, 2015
Achievement(s)
2022 Ph.D. valedictorian of the Faculty of Agriculture, Kyoto University
2019 Participated in the doctoral course“Stable Isotopes in Forest Ecosystem Research (SIFER)” from Institut National de la Recherche Agronomique (INRA) in Nancy, France.
2018 The first place in the admission test for the Ph.D. program at the Department of Agricultural Economics, National Taiwan University.
2018 Team of Excellence (top 20% of the preliminaries in Taiwan) of the 2018 NASA International Space Apps Challenge (Hackathon). (https://2018.spaceappschallenge.org/)
Award(s)
2020-2022 Research Fellowship for Young Scientists, Japan Society for the Promotion of Science (JSPS). (日本学術振興会
2019 Ministry of Education Government Scholarship to Study Abroad /GSSA in 2019 (autonomously withdrew in 2020). (台湾教育部留學獎學金)
2019 Monbukagakusho (日本文部科学省) Honors Scholarship provided by Japan Student Services Organisation (JASSO).
2017 Award Certificate for Academic Excellence in Presentation at the 4th International Conference on Global Food and Agriculture Resource Economics (IFARE).
Country
Taiwan

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