冯禹，宁波东方理工大学副教授、博士生导师。入选国家级青年人才、宁波市特优人才，主持国自然面上、甬江人才工程青年创新人才等项目。主要从事全球植被变化及其生态水文效应等领域研究。累计发表SCI论文50余篇，其中第一/通讯作者SCI论文24篇，包括多篇子刊论文，谷歌学术总被引3900余次，H指数34。部分研究结果被遴选为Nature Sustainability封面文章和亮点文章，成为联合国粮农组织报告支撑材料，并被国内外媒体广泛报道（中国科学报、Mongabay、英国卫报等）。连续入选2023–2025年度“全球2%顶尖科学家排行榜”；本硕博学位论文分别获四川大学、中国农业科学院和香港大学优秀/最佳学位论文奖。
主要从事植被变化及其生态水文效应相关研究，目前关注植被碳循环与水循环过程的格局、机制与环境影响。
2018-2022：博士，香港大学
2015-2018：硕士，中国农业科学院研究生院
2011-2015：学士，四川大学
2023-至今：宁波东方理工大学，副教授
2022-2023：法国气候与环境科学实验室（LSCE），博士后
总体情况
50余篇 SCI论文
论著信息及引用数据
Google Scholar：https://scholar.google.com/citations?user=2pJ66KkAAAAJ&hl=en
10篇代表作（*表示通讯作者，#表示共同贡献）
1. Feng, Y., et al. 2024. Global patterns and drivers of tropical aboveground carbon changes, Nature Climate Change 14: 1064-1070.
2. Wu, J.#, Feng, Y.#, et al. 2024. Earth greening mitigates hot temperature extremes despite the effect being dampened by rising CO2, One Earth 7: 100-109.
3. Feng, Y., et al. 2022. Doubling of annual forest carbon loss over the tropics during the early twenty-first century. Nature Sustainability 5: 444-451
4. Feng, Y., et al. 2021. Upward expansion and acceleration of forest clearance in the mountains of Southeast Asia. Nature Sustainability 4: 892-899.
5. Feng, Y., et al. 2020. Machine learning models to quantify and map daily global solar radiation and photovoltaic power. Renewable and Sustainable Energy Reviews 118: 109393.
6. Feng, Y., et al. 2021. High-resolution assessment of solar radiation and energy potential in China. Energy Conversion and Management 240: 114265.
7. Feng, Y., et al. 2019. Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation. Energy Conversion and Management 198: 111780.
8. Wu, J., Feng, Y.*, et al. 2023. Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration. Journal of Hydrology 622: 129743.
9. Wu, J., Feng, Y.*, et al. 2022. Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems. Agricultural Water Management 269:107706.
10. Feng, Y., et al. 2018. National-scale assessment of pan evaporation models across different climatic zones of China. Journal of Hydrology 564: 314-328.
2023：国家级青年人才
2023：香港大学李嘉诚奖（最佳毕业论文奖）
Frontiers in Remote Sensing副编辑
