2026

88. Z.Q. Zhu, H. Wang*, B.Y. Zhou, W.J. Cai, S.P. Harrison, M.G. De Kauwe, I.C. Prentice, Coupling of vegetation structure and physiology explains global greenness dynamics,

87. H. Xu, H. Wang*, I.C. Prentice, S.P. Harrison, L. Rowland, M. Mencuccini, P. Sanchez-Martinez, P. He, I.J. Wright, S. Sitch, M. Li, Q. Ye, 2026, Global variation in the ratio of sapwood to leaf area explained by optimality principles, New Phytologist, doi: 10.1111/nph.70916

86. W. Li, H. Lu, J.M. Chen, S. Piao, T.F. Keenan, G. Miao, Q. Liu, Z. Zang, N. Xu, J. Liu, Q. Cheng, H. Wang, R. Wang, W. Ji, P. Zhu, C. Li, Q. Xin, P. Gong, 2026, Enhanced effect of warming on the leaf-onset date of boreal deciduous broadleaf forest, Nature Climate Change, 16: 200-206

85. Z. Fu, X. Wang, P. Ciais, L. Wang, T. Keenan, M. De Kauwe, J. Peñuelas, G. Chen, X. Gong, J. Xiao, X. Li, Q. Xie, P. C. Stoy, D. Makowski, W. Smith, H. Wang, S. Wang, F. Zhang, S. Niu, N. Buchmann, 2026, Global distribution and changes of leaf-level intrinsic water use efficiency and their responses to water stress, Nature Communications, 17: 1530

84. J. Lamour, S. P. Serbin, A. Rogers, K. T. Acebron, E. Ainsworth, L. P. Albert, M. Alonzo, J. Anderson, O. K. Atkin, N. Barbier, M. L. Barnes, C. J. Bernacchi, N. Besson, A. C. Burnett, J. S. Caplan, J. Chave, A. W. Cheesman, I. Clocher, O. Coast, S. Coste, H. Croft, B. Cui, C. Dauvissat, K. J. Davidson, C. Doughty, K. S. Ely, J. B. Féret, I. Filella, C. Fortunel, P. Fu, M. Garcia, B. O. Gimenez, K. Guan, Z. Guo, D. Heckmann, P. Heuret, M. Isaac, S. Kothari, E. Kumagai, T. Y. Kyaw, L. Liu, L. Liu, S. Liu, J. Llusià, T. Magney, I. Maréchaux, A. R. Martin, K. Meacham-Hensold, C. M. Montes, R. Ogaya, J. Ojo, R. Oliveira, A. Paquette, J. Peñuelas, A. D. Placido, J. M. Posada, X. Qian, H. J. Renninger, M. Rodriguez-Caton, A. Rojas-González, U. Schlüter, G. Sellan, C. M. Siegert, G. Song, C. D. Southwick, D. C. Souza, C. Stahl, Y. Su, L. Sujeeun, T. C. Ting, V. Vasquez, A. Vijayakumar, M. Vilas-Boas, D. R. Wang, S. Wang, H. Wang, J. Wang, X. Wang, A. P. M. Weber, C. Y. S. Wong, J. Wu, F. Wu, S. Wu, Z. Yan, D. Yang, Y. Zhao, 2026, The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity, Earth System Science Data, 18: 245–265

2025

82. Y.Q. Wang, S.D. Zhu, H. Wang, K.F. Cao, H.X. Wang, 2025. Size-Related Variation in Tree Leaf Traits and Its Effects on Trait-Growth Relationships in a Subtropical Cloud Forest. Ecology and Evolution. 15:e72169

81. F.Y. Wang, M.M. Xue, L.M. Zhou, C.E. Doughty, P.Ciais, P.B. Reich, J.L. Shang, J.M. Chen, J.N. Liu, J.K. Green, D.L. Hao, S.L. Tao, Y.J. Su, L.L. Liu, J.Y. Xia, H. Wang, K.L. Yu, Z.C. Zhu, P. Zhu, X. Li, H. Liu, Y.L. Zeng, K. Yan, L.Y. Liu, R. Lafortezza, Y.X. Su, Y.Q. Meng, Y.X. Pan, X.Q. Yang, Y.H. Fu, N.P. He, W.P. Yuan, X.Z. Chen, 2025. Contrasting age-dependent leaf acclimation strategies drive vegetation greening across deciduous broadleaf forests in mid- to high latitudes. Nature Plants. https://doi.org/10.1038/s41477-025-02096-5

80. Z.M. Hu, I.J. Wright, P.B. Reich, A. K. Knapp, G.L. Ye, H. Wang, J. Chave, X. Zeng, G. J. Yang, L. C. Dai, G. R. Yu, 2025. Towards unifying precipitation-vegetation productivity relationships in terrestrial ecosystems. Fundamental Research. doi: https://doi.org/10.1016/j.fmre.2025.06.007

79. S. Tan, X. Zhang, L.X. Han, H.G. Huang, H. Wang, 2025, A novel Large Vision Foundation Model (LVMF)-based approach for generating high-resolution canopy height maps in plantations for precision forestry management. Forests.

78. H. Zhang, H. Wang*, I.J. Wright, I.C. Prentice, S.P. Harrison, N.G. Smith, A.C. Westerband, L. Rowland, L. Plavova, H. Morris, P.B. Reich, S. Jansen, T.F. Keenan, N.B. Nguyen, 2025. Thermal acclimation of stem respiration implies a weaker carbon-climate feedback. Science. 388: 984-988

77. Y.H. Ren, H. Wang*, S.P. Harrison, I.C. Prentice, G. Mengoli, K. Yang, L. Zhao, P. Reich, 2025. Incorporating the Acclimation of Photosynthesis and Leaf Respiration in the Noah‐MP Land Surface Model: Model Development and Evaluation. Journal of Advances in Modelling Earth Systems.17: e2024MS004599

76. Y.L. Yan, B.L. Li, B. Dechant, M.Z. Xu, X.Z. Luo, S. Qu, G.F. Miao, J.Y. Leng, R. Shang, L. Shu, C.Y. Jiang, H. Wang, S.J, Jeong, Y. Ryu, J.M. Chen. 2025. Plant traits shape global spatiotemporal variations in photosynthetic efficiency. Nature Plants, 11: 924-934

75. P. Y. Jia, R. Zhang, B. Schmid, H. Wang, J.-S. He, J.X. Liu, S.J., Liu, S.P. Jian, Y.H. Feng. 2025, A global synthesis of how plants respond to climate warming from traits to fitness. Ecology Letters, 28: e70114

74. B.Y. Zhou, W.J. Cai, Z.Q. Zhu, H. Wang, S. P. Harrison, I. C. Prentice. 2025. A general model for the seasonal to decadal dynamics of leaf area. Global Change Biology, e70125

72. P.C. He, Q. Ye, K.L. Yu, X.R. Liu, H. Liu, X.Y. Liang, H. Wang, J.H. Yan, Y-P. Wang, I. J. Wright. 2025. Relationship between wind speed and plant hydraulics at the global scale. Nature Ecology & Evolution, 9: 273-281 https://doi.org/10.1038/s41559-024-02603-5

71. P.C. He, Q. Ye, K.L. Yu, H. Wang, H.Y. Xu, Q.L. Yin, M. Yue, X.Y. Liang, W.R. Wang, Z.T. You, Y. Zhong, H. Liu. 2025. Growing-Season Precipitation Is a Key Driver of Plant Leaf Area to Sapwood Area Ratio at the Global Scale. Plant, Cell & Environment, 48(1): 746-755

70. B. D. Stocker, N. Dong, E.A. Perkowski, P.D. Schneider, H.Y. Xu, H.J de Boer, K.T. Rebel, N.G. Smith, K.V. Sundert, H.Wang, S.E. Jones, I.C. Prentice, S.P. Harrison. 2025. Empirical evidence and theoretical understanding of ecosystem carbon and nitrogen cycle interaction. New Phytologist, 415(1): 49-68

2024

69. 周建, 王焓 (2024). 森林径级结构研究: 从统计描述到理论演绎. 植物生态学报, 48, 675-689. DOI: 10.17521/cjpe.2023.0301

68. S. Tan, S.C. Qiao, H. Wang, S. Chang. 2024. Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles. Agriculture, 14(11): 2058

67. J. Xu, S. Tan, H. Wang, X. Zhang, Y. Hong. 2024. Bamboo Forests: Unleashing the Potential for Carbon Abatement and Local Income Improvements. Forests, 15(11): 1907

66. Z.B. Yan, M. Detto, Z.F. Guo, N.G. Smith, H. Wang, L. P. Albert, X.T. Xu, Z.Y. Lin, Y.Y. Zhao, S.L. Chen, T. C. Bonebrake, J. Wu. 2024. Global photosynthetic capacity jointly determined by enzyme kinetics and eco-evo-environmental drivers. Fundemental Research, doi: https://doi.org/10.1016/j.fmre.2023.12.011

65. Y.H. Ren, H. Wang*, K. Yang, W. Li, Z.M. Hu, Y.M. Ma, S.C. Qiao. 2024. Vegetation productivity slowdown on the Tibetan Plateau around the Late 1990s. Geophysical Research Letters. 51: e2023GL103865

64.J.X. Jin, W.Y. Hou, X.L. Ma, H. Wang, Q.Y. Xie, W.F. Wang, Q.A Zhu, X.Q Fang, F. Zhou, Y. Liu, F.Y Zhang, Y.L Cai, J. Wu. 2024. Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems, Forest Ecology and Management, 556: 121742

2023

63.T. F. Keenan, X. Luo, M. G. De Kauwe, B. E. Medlyn, I. C. Prentice, B. D. Stocker, N. G. Smith,C. Terrer, H. Wang, Y. Zhang, S. Zhou. 2023. A constraint on historic growth in global photosynthesis due to rising CO2. Nature Climate Change, 13: 1376-1381.

62. Y. Ren, H. Wang*, S. P. Harrison, I. C. Prentice, O. Atkin, N. Smith, G. Mengoli, A. Stefanski, P. Reich. 2023. Reduced global plant respiration due to the acclimation of leaf dark respiration coupled with photosynthesis. New Phytologist, 241: 578-591.

61.H. Y. Xu, H. Wang*, I. C. Prentice, S. P. Harrison, 2023. Leaf carbon and nitrogen stoichiometric variation along environmental gradient. Biogeosciences, 20: 4511-4525.

60. S. Tan, H. Wang*, I. C. Prentice, K. Yang, R. L.B. No ́brega, X. M. Liu, Y. Wang, Y. T. Yang, 2023. Towards a universal evapotranspiration model based on optimality principles.Agricultural and Forest Meteorology, 336: 109478.

59. N. Dong, B. Dechant, H. Wang, I. J. Wright, I. C. Prentice. Global leaf-trait mapping based on optimality theory.Global Ecology and Biogeography, 32: 1152-1162.

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. 金佳鑫, 张凤焰, 王焓, 等. 常绿林“导度-光合”模型斜率参数优化与蒸腾估算改进［J］.地球科学进展, 2023, 38(9): 931-942

2022

53. 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, 2022, 42(4): 1487-1499

52. 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

51. 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

50. 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

48. 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

47. 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

46. 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

45. 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

2021

44. 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

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

41. X. Z. Luo, T. F. Keenan, J. M. Chen, H. Croft, I. C. Prentice, N. G. Smith, A. P. Walker, H. Wang, A. R. Wang, C. G. Xu, Y. Zhang: Global variation in the fraction of leaf nitrogen allocated to photosynthesis. Nature Communication, 12:4866

40. H. Y. Xu, H. Wang*, I. C. Prentice, S. P. Harrison, I. Wright: Coordination of plant hydraulic and photosynthetic traits: confronting optimality theory with field measurements. New Phytologist, 232: 1286–1296

39. Z. B. Yan, Z. F. Guo, S. Serbin, G. Q. Song, Y. Y. Zhao, Y. Chen, S. B. Wu, J. Wang, X. Wang, J. Li, B. Wang, Y. T. Wu, Y. J. Su, H. Wang, A. Rogers, L. L. Liu, J. Wu: Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types. New Phytologist, 232: 134–147

38. S. P. Harrison, W. Cramer, Franklin, Oskar; I. C. Prentice, H. Wang, Åke Brännström, H. de Boer, U. Dieckmann, J. Joshi, T. Keenan, A. Lavergne, S. Manzoni, G. Mengoli, C. Morfopoulos, J. Peñuelas, S. Pietsch, K. Rebel, Y. Ryu, N. Smith, B. Stocker, I. Wright: Eco-evolutionary optimality as a means to improve vegetation and land-surface models. New Phytologist, 231: 2125–2141

37. Y. H. Ren, K. Yang, H. Wang, L. Zhao, Y. Y. Chen, X. Zhou, Z. La: The South Asia Monsoon Break Promotes Grass Growth on the Tibetan Plateau. Journal of Geophysical Research: Biogeosciences. 126: e2020JG005951

36. H. Y. Xu, H. Wang*, I. C. Prentice, S. P. Harrison, G. X. Wang, X. Y. Sun: Predictability of leaf traits with climate and elevation: a case study in Gongga Mountain, China. Tree Physiology, 41: 1336–1352

2020

35. C. Y. Jiang, Y. Rye, H. Wang and T. F. Keenan: An optimality-based model explains seasonal variation in C3 plant photosynthetic capacity. Global Change Biology. 26:6493–6510

34. J. Kattge, et al. (724 co-authors including H. Wang): TRY plant trait database – enhanced coverage and open access. Global Change Biology. 26: 119-188.

33. J. Paillassa, I. J. Wright, I. C. Prentice, S. Pepin, N. G. Smith, G. Ethier, A. C. Westerband, L. J. Lamarque, H. Wang, W. K. Cornwell and M. Vincent: When and where soil is important to modify the carbon and water economy of leaves. New Phytologist. 228: 121–135

1. 入选国家级高层次青年人才计划

2. 清华大学第十八届”良师益友”

3. 清华大学优秀博士学位论文指导教师

4. 清华大学2023年课程思政示范教师

5. 清华大学—浪潮集团2020年计算地球科学青年人才奖

6. 清华大学第九届青年教师教学大赛二等奖

1. 科技部国家重点研发计划 高寒区数据深度分析智能软件平台研制与应用。2024-2027 在研

2. 国家基金委 碳达峰碳中和路径与对策综合研究。2022-2025 结题

3. 科技部国家重点研发计划 亚热带山地森林复杂下垫面碳源汇精准计量与模拟。2023-2026 在研

4. 国家基金委 光伏发电组件对青藏高原土壤水热过程和植被生长的影响。2024-2026 在研,国家基金委

5. 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 结题

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

7. 国家自然科学基金委 青年科学基金 植物功能性状与植被模拟。2020-2023 结题

8. 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 结题

9. 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 结题

10. 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

11. 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

12. 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

13. 澳大利亚科学研究基金委 ARC项目 Next-generation vegetation model based on functional traits。结题

14. 奥地利欧亚太平洋联盟研究基金课题 Developing a first-principles based NPP model with eco-physiological optimality。结题

15. 国际应用系统研究所IIASA研究基金 Dynamic Vegetation Models- The Next Generation。结题