专家人才

吴朝阳

  男,研究员,杰青。主要研究植被物候变化与生态系统碳循环作用机制。获得中科院院长奖、中科院卢嘉锡青年人才奖、中科院百篇优秀博士学位论文、中科院青年创新促进会优秀会员等。主持自然基金委青年基金、面上基金、优秀青年基金、杰出青年基金、重点研发课题等项目。第一或通讯发表 SCI 论文60余篇,主要包括 Nature Climate ChangeNature CommunicationsPNASGlobal Change BiologyGlobal Ecology and BiogeographyRemote Sensing of Environment Agricultural and Forest Meteorology 等期刊。

研究领域植被物候与全球变化

主要学术成绩

  1) 构建了植被物候精细刻画模型

  构建了考虑温度、降水、积雪等气候变化因子的物候变化精细刻画模型,提出了物候模型引入气候变化因子的方法;建立了基于温度时间变化的常绿林物候模拟算法,解决了现有方法在常绿林物候变化模拟中无法应用的问题;构建了不同分辨率数据物候精细刻画的转化模型,揭示了地表异质性对降低物候数据不确定性的决定作用。

  2) 揭示了气候变化与植被物候作用机制

  揭示了冬季低温冷激对植被春季物候提前的制约作用,对春季物候提前的趋势提出了新的认识;发现了昼夜增温对植被秋季物候变化的反向驱动作用,从机制上解释了昼夜升温不对称性对秋季物候的影响;提出了风速减弱对高纬度植被秋季落叶期的推迟作用,揭示了风速变化对秋季物候的影响。

  3) 提出了物候对生态系统碳循环影响观点

  建立了植被冠层光合作用组分的物候变化信息分解模型,提出了物候研究中应该关注有效光合作用组分信息的观点;研发了基于降水累积效应的物候改进算法,支撑定量分解气候变化因子对碳循环的贡献;阐述了落叶林、常绿林对气候变化响应敏感性差异的机制,揭示了植被秋季物候对生态系统碳循环年际变化的决定作用。

代表性学术论文

  1)     Jie Peng, Chaoyang Wu*,,, 2021. Incorporating water availability into autumn phenological model improved China's terrestrial gross primary productivity (GPP) simulation. Environmental Research Letters, 16, 094012.

  2)     Chaoyang Wu*, Jian Wang*,,,, Quansheng Ge*. 2021. Widespread decline in winds delayed autumn leaf senescence over high latitudes. PNAS, doi:10.1073/pnas.2015821.

  3)     Huanjiong Wang*, Chaoyang Wu*,,,, Quansheng Ge*. 2020. Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling. Nature Communications, 11, 4945.

  4)     Xiaoyue Wang, Chaoyang Wu*. 2019. Estimating the peak of growing season (POS) for China’s terrestrial ecosystems. Agricultural and Forest Meteorology, 278, 107639.

  5)     Jie Peng, Chaoyang Wu*,,, 2019. Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere. Global Change Biology, 25, 2174-2188.

  6)     Chaoyang Wu*, Xiaoyue Wang, Huanjiong Wang*,,, Quansheng Ge*. 2018. Contrasting responses of autumn leaf senescence to daytime and nighttime warming. Nature Climate Change, 8, 1092-1096.

  7)     Xiaoyue Wang, Chaoyang Wu*, Dailiang Peng*,,, 2018. Snow cover phenology affects alpine vegetation growth dynamics on the Tibetan Plateau: Satellite observed evidence, impacts of biomes, and climate drivers. Agricultural and Forest Meteorology, 256, 61-74.

  8)     Chaoyang Wu*, Dailiang Peng*,,,. 2017. Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites. Agricultural and Forest Meteorology, 233, 171-182.

  9)     Chaoyang Wu*, Xuehui Hou*,,, 2016. Land surface phenology of China's temperate ecosystems over 1999-2013: Spatial-temporal patterns, interaction effects, covariation with climate and implications for productivity. Agricultural and Forest Meteorology, 216, 177-187.

  10)     Shiguang Xu, Chaoyang Wu*, Li Wang*,,, 2015. A new satellite based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics. Remote Sensing of Environment, 162, 119-140.

招生方向全球变化遥感、生态遥感

招生专业地图学与地理信息系统

联系方式010-64889793wucy@igsnrr.ac.cn

更新日期:202198