清华大学 Han Wang--Home--Home

Han Wang

Associate Professor

Personal Information

Contact Information:http://www.lpicea.com/ 公众号“小云杉LPICEA”
E-Mail:

Discipline:Ecology

Education Background

Macquarie University，Plant Ecology，Ph.D（2013）

Institute of Botany，Chinese Academy of Science，Global Change Ecology，Ph.D（2011）

Shaanxi Normal Univeristy，Biology，Bachelor of Science（2006）

Work Experience

2121.7- Associate Professor, Department of Earth System Science Tsinghua University -- 地球系统科学系 -- 副教授

2018.04-2021.07： Assistant Professor，Tsinghua University -- 地球系统科学系 -- 助理教授

2016.08–2016.09: Visiting Scholar，Lawrence Berkeley National Lab -- 访问学者

2016.04-2016.06: Visiting Scholar，International Institute of Applied System Analysis -- 访问学者

2015.07-2018.03: Postdoc，Northwest A&F University -- 博士后

2012.10-2015.03: Postdoc，Macquarie University -- 博士后

Research Focus

Plant functional geography；
Trait-based next generation vegetation models；
Predicting carbon cycle from first-principles.

58. S. C. Qiao, I. C. Prentice, S. P. Harrison and H. Wang*: Optimality-based modelling of wheat sowing dates globally. Agricultural Systems. 206: 103608

57. H. Wang*, I. C. Prentice, I. J. Wright, D.I. Warton, S.C. Qiao, X.T. Xu, J. Zhou, K. Kikuzawa, N.C. Stenseth, Leaf economics fundamentals explained by optimality principles, Science Advances, 9: eadd5667

56. Z.B. Yan, J. Sardans, J. Peñuelas, M. Detto, N.G. Smith, H. Wang, L.L. Guo, A.C. Hughes, Z.F. Guo, Calvin K. F. Lee, L.L. Liu, J. Wu, Global patterns and drivers of leaf photosynthetic capacity: The relative importance of environmental factors and evolutionary history, Global Ecology and Biogeography, 10.1111/geb.13660

55. M.J. Zou, K. Yang, H. Liu, Y.H. Ren, J. Sun, H. Wang, S. Tan, L. Zhao, Integrating eco-evolutionary optimality principle and land processes for evapotranspiration estimation, Journal of Hydrology, 616:128855

54. Z.Q. Zhu, H. Wang*, S.P. Harrison, I.C. Prentice, S.C. Qiao, S. Tan, Optimality principles explaining divergent responses of alpine vegetation to environmental change, Global Change Biology, 29:126-142

53. H. Wang, S.P. Harrison, Li, M.Li, I. Colin Prentice, S.C. Qiao, R.X. Wang, H.Y. Xu, G. Mengoli, G, Y.K. Peng, Y.Z. Yang, The China plant trait database version 2, Scientific Data, 9:769

52. H. Hunag, Z.Q. Wang, H. Wang, J. Peñuelas, J. Sardans, Ü. Niinemets, K. J. Niklas, Y. Li, J.B. Xie, and I. J. Wright, Leaf water content contributes to global leaf trait relationships, Nature Communication, 13:5525

51. Z.Q. Zhu, H. Wang, S. P. Harrison, I.C. Prentice, S.C. Qiao, S. Tan, Optimality principles explaining divergent responses of alpine vegetation to environmental change, Global Change Biology, 29: 126-142

50. J.X. Jin, T. Yan, H. Wang, X.L. Ma, M.Z. He, Y. Wang, W.F. Wang, F.S. Guo, Y.L. Cai, Q.A Zhu and J. Wu, Improved modeling of canopy transpiration for temperate forests by incorporating a LAI-based dynamic parametrization scheme of stomatal slope, Agricultural and Forest Meteorology, 326: 109157

49. N. Dong, I. C. Prentice, I. J. Wright, H. Wang, O. K. Atkin, K. J. Bloomfield, T. F. Domingues, S. M. Gleason, V. Maire, Y. Onada, H. Poorter, N. G. Smith, Leaf nitrogen from the perspective of optimal plant function, Journal of Ecology, 00: 1-18

48. H. Wang*, R.X. Wang, S. P. Harrison and I. C. Prentice: Leaf morphological traits as adaptations to multiple climate gradients. Journal of Ecology, 00: 1-12

47. N. Dong, I. J. Wright, J. M. Chen, X. Luo, H. Wang, T. F. Keenan, N. G. Smith, I. C. Prentice: Rising CO2 and warming reduce global canopy demand for nitrogen. New Phytologist, 235: 1692-1700

46. J. M. Chen, R. Wang, Y. H. Liu, L. M. He, H. Croft, X. Z. Luo, H. Wang, N. G. Smith, T. F. Keenan, I. C. Prentice, Y. G, Zhang, W. M. Ju, N Dong. Global Datasets of Leaf Photosynthetic Capacity for Ecological and Earth System Research. Earth System Science Data

45. S. C. Qiao, H. Wang*, I. C. Prentice and S. P. Harrison: Optimality-based modelling of climate impacts on global potential wheat yield. Environmental Research Letters, 16:114013

44. 谭深, 王焓*：基于最优性原理的普适性碳水通量耦合估算方法研究. 生态学报, 已接收

43. S. Tan, X. Zhang, H. Wang, L. Yu, Y. L. Du; J. J. Yin; B. F. Wu: A CNN-based self-supervised C-band synthetic aperture radar image denoising approach. Transactions on Geoscience and Remote Sensing, accepted

42. S. Tan, H. Wang*, I.C. Prentice, K. Yang: Land-surface evapotranspiration derived from a first-principles primary production model. Environmental Research Letters, 16:104047

1. 2021年清华大学—浪潮集团计算地球科学青年人才奖

2. 2021年清华大学第九届青年教师教学大赛（理科、医科组）二等奖

1. 澳大利亚科学研究基金委ARC项目 Leaf and wood physiology and biomass allocation as drivers of plant growth 2022-2024 在研

2. THE ERIC AND WENDY SCHMIDT FUND FOR STRATEGIC INNOVATION Land Ecosystem Models based On New Theory, obseRvations, and ExperimEnts (LEMONTREE). 2021-2026 在研

3. 国家自然科学基金委优秀青年项目植物功能性状与植被模拟。2020-2023 在研

4. 国家自然科学基金委面上项目木本植物性状权衡关系的机制研究。2021-2023 在研

5. 科学技术部高技术研究发展中心重点专项全球能量循环和水循环关键参数的立体观测与遥感反演。2018-2023 在研

6. 国家自然科学基金委集成项目青藏高原典型生态系统碳氮水循环过程及其气候效应。2019-2022 结题

7. 国家自然科学基金光合能力环境响应及其大尺度模拟。结题

8. 国家重点实验室基金课题黄土高原土壤侵蚀与旱地农业新一代全球植被动态模型研发。结题

Next-generation vegetation model based on functional traits

Developing a first-principles based NPP model with eco-physiological optimality

Dynamic Vegetation Models- The Next Generation