Download CURRICULUM VITAE: Dr Han Wang

CURRICULUM VITAE: Dr Han Wang
Personal Information
Nationality:
Chinese
Email:
[email protected]
Education and Employment
07.2015  current:
10.2012  03.2015:
05.2013:
05.2011:
06.2006:
Postdoctoral fellow, Northwest A & F University, China
Postdoctoral fellow, Macquarie University, Australia
Doctor of Philosophy (Ecology). Macquarie University, Australia
Doctor of Philosophy (Global Change Biology). Institute of Botany,
Chinese Academy of Sciences, Beijing, China
Bachelor of Science (Biology). Shaanxi Normal University, China
Research Focus
 Global vegetation modelling, with a specific emphasis on applying evolutionary optimization in the
development of the next generation vegetation models
 Assessment of the likely impacts of projected future climate and [CO2] changes on natural and
agriculture ecosystems in China with process-based vegetation models.
Professional Experience
Conferences
 Chair and primary convenor of the session ‘The next generation of land ecosystem models:
optimality principles in theory and practice’ at the EGU General Assembly, Vienna, 2016.
 Chair and primary convenor of the session ‘Next-generation Land Ecosystem Models: optimality,
acclimation and adaptation principles in theory and practice’ at the AGU Fall Meeting, San
Francisco, 2015.
 Chair and primary convenor of the session ‘Optimality concepts for Terrestrial Ecosystem
Modelling’ at the AGU Fall Meeting, San Francisco, 2014.
 Presentations at international conferences: AGU Fall Meeting 2014, 2015; The ninth International
Carbon Dioxide Conference in 2013; The third iLEAPS international science conference in 2011.
Workshops
 International Workshop on Forest Canopies: Frontiers of Ecosystem Services, Xishuangbanna, 2015
(Leading the eco-physiology discussion group).
 Fluxnet Synthesis Workshop, Beijing, 2015.
 Environmental Science Summit, Garmish-Partenkirchen, 2014 (One of 30 young scientists selected
from among 500 applicants).
 Biosphere-Climate Dynamics workshop on ‘Analysing patterns in fire-response trait abundances in
Australia’, Sydney, 2013.
 Australian Centre for Ecological Analysis and Synthesis (ACEAS) workshop on ‘Unifying principles for
terrestrial ecosystem carbon, water and land-surface modelling’, Cairns, 2013.
 Integrated Land Ecosystem‐Atmosphere Processes Study (iLEAPS) Early Career Scientists Workshop,
Garmish-Partenkirchen, 2011.
Invited lectures
 ‘Applying optimality concepts in modelling terrestrial ecosystems’: Zhejiang University, China, 2014.
 ‘Modelling Vegetation Changes in China’: Institute of Geochemistry, CAS, China, 2012.
Reviewer for journals
 Geophysical Research Letters; Global Change Biology; Ecology Letters; Perspectives in Plant Ecology;
Biogeosciences; Evolution and Systematics; Journal of Geophysical Research–Atmospheres; Global
Ecology and Biogeography; International Journal of Climatology; Chinese Science Bulletin.
Fieldwork
 Logistical group leader, and responsible for collecting data on area, fresh weight and dry weight of
leaves on the Vegetation and Plant Traits Field Survey in Yunnan Province, China, November 2012.
 Responsible for collecting data on photosynthesis and assisting with other data collection on the
Vegetation and Plant Traits Field Survey of the North-East China Transect, July-August 2006.
Grants and Funds
2015-2016: Understanding and predicting the response of key photosynthetic traits to air pressure changes
along elevation gradient, 2015M580878, China Postdoctoral Science Foundation Grant.
01.04.2016-30.06.2016: Developing a first-principles based NPP model with eco-physiological optimality,
Ernst Mach Grant, Eurasia-Pacific Uninet.
Awards and Scholarships
2011-2012: Cotutelle International Macquarie University Research Excellence Scholarship (iMQRES),
Macquarie University.
2010-2011: ‘Triple-A’ outstanding student, Chinese Academy of Science.
2010-2011: State Scholarship Fund from China Scholarship Council to visit Macquarie University,
Publications
Yang Y, Zhu Q, Peng C, Wang H, Xue W, Lin G, Wen Z, Chang J, Wang M, Liu G, Li S (2015): A novel approach
for modelling vegetation distributions and analysing vegetation sensitivity through trait-climate
relationships in China. Scientific Reports, accepted.
Meng T-T, Wang H, Harrison SP, Prentice IC, Ni J and Wang G (2015): Responses of leaf traits to climatic
gradients: adaptive variation vs. compositional shifts. Biogeosciences, 12: 1-14.
Lin Y, Belinda EM, Duursma RA, Prentice IC, Wang H et al. (2015): Optimal stomatal behaviour around the
world. Nature Climate Change, 5: 495-464.
Yang Y, Zhu Q, Peng C, Wang H, Chen H (2015): From plant functional types to plant functional traits: A new
paradigm in modelling global vegetation dynamics. Progress in Physical Geography, 39: 514-535.
Wang H, Prentice IC, Davis TW (2014): Biophysical constraints on gross primary production by the
terrestrial biosphere. Biogeosciences, 11: 5987-6001.
Atwell BJ, Wang H, Scafaro AP (2014): Could abiotic stress tolerance in wild relatives of rice be used to
improve Oryza sativa? Plant Science, 215-216: 48-58.
Wang H (2013): A multi-model assessment of climate change impacts on the distribution and productivity
of ecosystems in China. Regional Environmental Change, 14: 133-144.
Wang H, Prentice IC, Ni J (2013): Data-based modelling and environmental sensitivity of vegetation in
China. Biogeosciences, 10: 5817-5830.
Wang H, Prentice IC, Ni J (2012): Global change and primary production in China: contrasting light- and
water-use efficiency models. Biogeosciences, 9: 4689-4705
Kelley DI, Prentice IC, Harrison S, Wang H, Simard M, Fisher JB, Willis K (2012): A comprehensive
benchmarking system for evaluating global vegetation models. Biogeosciences, 10: 3313–3340.
Wang H, Ni J, Prentice IC (2011): Sensitivity of potential natural vegetation in China to projected changes in
temperature, precipitation and atmospheric CO2. Regional Environmental Change, 11: 715-727.
Prentice IC, Meng T, Wang H, Harrison S, Ni J, Wang GH (2011): Evidence for a universal scaling relationship
of leaf CO2 drawdown along an aridity gradient. New Phytologist, 190: 169-180.