基本信息

姓名：何明珠

联系方式：0756-3683480

邮箱：hemingzhu@bnu.edu.cn

通讯地址：广东省珠海市金凤路8号北师大珠海校区燕华苑6栋

研究方向与招生

专业领域：生态安全

研究方向：气候变化；植被遥感；陆地生态系统碳水循环模拟；陆气交互作用；水网工程的生态效应

欢迎具有地理、生态、环境、大气、水文、数理、计算机等相关专业背景的学生报考

教育经历

2013.08—2018.12，University of Montana，System Ecology，博士

2010.09—2013.06，南京大学，地图学与地理信息系统，硕士

2006.09—2010.06，南京大学，地理信息系统，本科

工作经历

2024.07—至今，北京师范大学，国家安全与应急管理学院，副教授

2023.01—2024.06，北京师范大学，国家安全与应急管理学院，特聘副研究员

2019.03—2022.11，北京大学，城市与环境学院，博雅博士后

承担课程

“亚洲水塔”—青藏高原的文化和环境效应，本科生通识课

国家安全导论，本科生通识课• 气候变化与国家安全，研究生学位基础课

MATLAB数理统计分析与应用，研究生专业方向课

科研项目

国家自然科学基金面上项目，干旱、热浪以及干热复合事件对中国陆地植被生产力的影响机制研究，2025.1-2028.12，主持

国家自然科学基金重大项目课题，水网工程综合评价与规划方法，2024.1-2028.12，主持子课题

国家自然科学基金青年项目，陆地生态系统光能利用率时空格局及其驱动机制研究，2021.1-2023.12，主持

代表论文

围绕全球气候变化背景下生态安全和陆地生态系统碳水循环变化机制，开展了如下研究：

· 陆地生态系统对气候变化的响应与反馈

1. 阐明了未来大气CO₂浓度升高对全球和区域（中国）生态气候区分布的迁移机制，定量评估了植被生理反馈的贡献，划分了未来高CO₂浓度下全球生态气候敏感区域，揭示了植被在重塑未来全球和区域生态气候分区中的重要作用，有助于制定因地制宜、切实可行的生态保护和修复政策。

He, M., Cui, J., Yi, Y., Chen, H. W., Zhang, Q., Li, L., et al. (2024). Vegetation increases global climate vulnerability risk by shifting climate zones in response to rising atmospheric CO₂. Science of The Total Environment, 949, 174810.

He, M., Cui, J., Zhang, Q., Huang, L., Hong, S., 2024. Unraveling the role of vegetation CO₂ physiological forcing on climate zone shifts in China. Geophysical Research Letters, 51 (5), e2023GL107826

2. 定量解析了未来大气CO₂浓度升高的植被生理升温效应的时空驱动机制，系统评估了陆地植被缓解气候变化的净潜力，为阐明植被在气候系统中的作用提供新视角。

He, M., Piao, S., Huntingford, C., Xu, H., Wang, X., Bastos, A., Cui, J., Gasser, T., 2022. Amplified warming from CO₂ physiological effect reduces vegetation potential for climate change mitigation. Communications Earth & Environment, 3,160.

3. 阐明未来植被CO₂生理效应减缓了全球气温季节变化振幅变小的趋势，深入理解植被在气候系统中的作用。

He, M., Lian, X., Cui, J., Xu, H., Piao, S., 2022. Vegetation physiological response to increasing atmospheric CO₂ slows the decreases in the seasonal amplitude of temperature. Geophysical Research Letters, 49, e2022GL097829.

· 陆地生态系统碳吸收估算

1. 表征了植被光能利用率的全球分布格局，明确其驱动机制。

He, M., Chen, S., Lian, X., Wang, X., Peñuelas, J., Piao, S., 2022. Global spectrum of vegetation light-use efficiency. Geophysical Research Letters, Accepted.

2. 发展了两叶光能利用率模型，定量表征了植被碳吸收对散射辐射的响应。

He, M., Ju, W., Zhou, Y., Chen, J., He, H., Wang, S., Wang, H., Guan, D., Yan, J., Li, Y., Hao, Y., Zhao, F., 2013. Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity. Agricultural and Forest Meteorology, 17, pp: 28-39.

He, M., Zhou, Y., Ju, W., Chen, J., Zhang, L., Wang, S., Saigusa, N., Hirata, R., Murayama, S., Liu, Y., 2013. Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements. Journal of Forest Research, 18, pp: 31-40.

3. 阐明了水分胁迫对植被碳吸收的影响，表明利用卫星遥感动态监测植被受水分胁迫的可行性。

He, M., Kimball, J.S., Running, S., Ballantyne, A., Guan, K., Huemmrich, F., 2016. Satellite detection of soil moisture related water stress impacts on ecosystem productivity using the MODIS-based photochemical reflectance index. Remote Sensing of Environment, 186, pp: 173-183.

4. 融合Landsat和MODIS数据，准确模拟和监测农作物产量的变化。

He, M., Kimball, J.S., Maneta, M.P., Maxwell, B.D., Moreno, A., Begueria, S., Wu, X., 2018. Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data. Remote Sensing, 10, pp:372.

· 陆地生态系统蒸散发估算及其对干旱的响应

He, M., Kimball, J.S., Yi, Y., Mu, Q., Running, S., Guan, K., Moreno, A., Wu, X., Maneta, M., 2019. Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework. Remote Sensing of Environment, 230, 111201.

He, M., Kimball, J.S., Yi, Y., Running, S., Guan, K., Jensco, K., Maxwell, B., Maneta, M., 2019. Impacts of 2017 flash drought in the US Northern Plains informed by satellite-based evapotranspiration and solar-induced fluorescence. Environmental Research Letters, 14, 074019.

Cui, J. *, He, M.*, Lian, X., Wei, Z., Wang, T., 2023. Spatial pattern of plant transpiration over China constrained by observations. Geophysical Research Letters, 50 (20), e2023GL105489

· 合作论文

Huang, L., Yuan, W., Zheng, Y., Zhou, Y., He, M., Jin, J., Huang, X., Chen, S., Liu, M., Guan, X., Jiang, S., Lin, X., Li, Z., Tang, R., 2024. A dynamic-leaf light use efficiency model for improving gross primary production estimation. Environmental Research Letters, 19, 014066

Kan, F., Lian, X., Cui, J., Chen, A., Mao, J., He, M., Xu, H., Piao, S., 2023. Discrepant trends in global land-surface and air temperatures controlled by vegetation biophysical feedbacks. Environmental Research Letters, 18, 124013.

Jin, J., Yan, T., Wang, H., Ma, X., He, M., Wang, Y., Wang, W., Guo, F., Cai, Y., Zhu, Q., Wu, J., 2022. 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.

Cui, J., Yang, H., Huntingford, C., Kooperman, G.J., Lian, X., He, M., Piao, S., 2021. Vegetation response to rising CO₂ amplifies contrasts in water resources between global wet and dry land areas. Geophysical Research Letters, 48, e2021GL094293

Brust, C., Kimball, J.S., Maneta, M.P., Jencso, K., He, M., Reichle, R.H., 2021. Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA. Remote Sensing of Environment, 255, 112277

Maneta, M.P., Cobourn, K., Kimbal, J.S., He, M., Silverman, N.L., Chaffin, B.C., Ewing, S., Ji, X., Maxwell, B., 2020. A satellite-driven hydro-economic model to support agricultural water resources management. Environmental Modelling & Software, 134, 104836.

Tang, S., Wang, X., He, M., Huang, L., Zhang, Y., Yang, H., Piao, S., 2020. Global patterns and climate controls of terrestrial ecosystem light use efficiency. Journal of Geophysical Research: Biogeosciences, 125(12), e2020JG005908.

Zhou, W., Guan, K., Peng, B., Shi, J., Jiang, C., Wardlow, B., Pan, M., Kimball, J.S., Franz, T.E., Gentine, P., He, M., Zhang, J., 2020. Connections between the hydrological cycle and crop yield in the rainfed US Corn Belt. Journal of Hydrology, 590, 125398.

Smith, W.K., Biederman, J.A., Scott, R.L., Moore, D.J.P., He, M., Kimball, J.S., Yan, D., Hudson, A., Barnes, M.L., Macbean, N., Fox, A.M., Litvak, M.E., 2018. Chlorophyll fluorescence better captures seasonal and interannual gross primary productivity dynamics across dryland ecosystems of southwestern North America. Geophysical Research Letters, 45, pp: 748-757.

Wu, X., Xiao, X., Zhang, Y., He, W., Wolf, S., Chen, J., He, M., Gough, C.M., Qin, Y., Zhou, Y., Doughty, R., Blanken, P.D., 2018. Spatiotemporal consistency of four gross primary production products and solar-induced chlorophyll fluorescence in response to climate extremes across CONUS in 2012. Journal of Geophysical Research: Biogeosciences, 123.

Zhang, Q., Ju, W., Chen, J., Wang, H., Yang, F., Fan, W., Huang, Q., Zheng, T., Feng, Y., Zhou, Y., He, M., Qiu, F., Wang, X., Wang, J., Zhang, F., Chou, S., 2015. Ability of the photochemical reflectance index to track light use efficiency for a subtropical planted coniferous forest. Remote Sensing, 7, pp: 16938-16962.

Wu, X., Ju, W., Zhou, Y., He, M., Law, B.E., Black, T.A., Margolis, H.A., Cescatti, A., Gu, L., Montagnani, L., Noormets, A., Griffis, T.J., Pilegaard, K., Varlagin, A., Valentini, R., Blanken, P.D., Wang, S., Wang, H., Han, S., Yan, J., Li, Y., Zhou, B., Liu, Y., 2015. Performance of linear and nonlinear two-leaf light use efficiency models at different temporal scales. Remote Sensing, 7, pp: 2238-2278.

Liu, Y., Zhou, Y., Ju, W., Wang, S., Wu, X., He, M., Zhu, G., 2014. Impacts of droughts on carbon sequestration by China’s terrestrial ecosystems from 2000 to 2011. Biogeosciences, 11, pp: 2583.

Liu, Y., Ju, W., Chen, J., Zhu, G., Xing, B., Zhu, J., He, M., 2012. Spatial and temporal variations of forest LAI in China during 2000-2010. Chinese Science Bulletin, 57, pp: 2846-2856.

其他

担任Global Change Biology, Agriculture and Forest Meteorology, Remote Sensing of Environment, Environmental Research Letters, Remote Sensing, Science of Total Environment等多个期刊审稿人。

Google Scholar个人网页: https://scholar.google.com/citations?hl=en&user=w0hdhHwAAAAJ&view_op=list_works&sortby=pubdate

ResearchGate个人网页：https://www.researchgate.net/profile/Mingzhu-He-2