一、个人简介
杨璐，女，中共党员，副研究员
二、教育与工作经历
2026—至今 海南大学，生态学院，副研究员
2023—2026北京大学，城市与环境学院，博士后
2019—2023北京大学，城市与环境学院，博士
2016—2019北京师范大学，地学部，硕士
三、研究方向
研究方向涵盖全球变化与植被生态、森林景观格局演变及其生态效应、城市生态与生物多样性，以及生态环境遥感监测与应用。
四、科研项目
1. 75批博士后面上：积雪融化与植被春季物候的异步性及其影响 (2024 –2025)，主持
2. 2024年度博士后创新人才支持计划C档：内陆水体甲烷排放的时空格局 (2024 – 2026)，主持
3.国家重点研发计划: 全球变化背景下植被物候变化趋势预估 (2018 – 2023), 参与
4.国家重点研发计划: 全球气候数据集生成及气候变化关键过程和要素监测 (2016 – 2021) , 参与
5.国自然面上: 城市环境对树木生长影响：基于城乡梯度方法研究 (2021 – 2024) , 参与
6.国自然面上: 中国区域地表入射太阳辐射融合估算及其时空变化分析 (2016 – 2019) , 参与
五、科研成果
[1]. Yang L, Peng S, Zhu D*. Extended gap between snowmelt and greenup increases dust storm occurrence. Global Change Biology, 2025, 31(5): e70236. https://doi.org/10.1111/gcb.70236 (SCI Q1, 5-Year IF=14, Citation: 1, JCR 2023, 被Nature Research Highlights报道)
[2]. Yang L, Zhao S*, Liu S. Urban environments provide new perspectives for forecasting vegetation phenology responses under climate warming. Global Change Biology, 2023, 29(15): 4383-4396. https://doi.org/10.1111/gcb.16761 (SCI Q1, 5-Year IF=14, Cititions:15, JCR 2023)
[3]. Yang L, Zhao S*. A stronger advance of urban spring vegetation phenology narrows vegetation productivity difference between urban settings and natural environments. Science of the Total Environment, 2023, 868: 161649. https://doi.org/10.1016/j.scitotenv.2023.161649 (SCI Q1, 5-Year IF=8.7, Cititions:14, JCR 2023)
[4]. Yang L, Zhao S*, Liu S. A global analysis of urbanization effects on amphibian richness: Patterns and drivers. Global Environmental Change, 2022, 73: 102476. https://doi.org/10.1111/gcb.16761 (SCI Q1, 5-Year IF=11.5, Cititions:24, JCR 2022)
[5]. Yang L, Liang S*, Zhang Y. A new method for generating a global forest aboveground biomass map from multiple high-level satellite products and ancillary information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 2587-2597. https://doi.org//10.1109/JSTARS.2020.2987951 (SCI Q2, 5-Year IF=5.6, Cititions:36, JCR 2020)
[6]. Yang L, Zhang X*, Liang S, et al. Estimating surface downward shortwave radiation over China based on the gradient boosting decision tree method. Remote Sensing, 2018, 10(2): 185. https://doi.org//10.3390/rs10020185 (SCI Q2, 5-Year IF=4.8, Cititions:70, JCR 2018)
[7]. Shi Y, Liu S*, Yan W, …… Yang L, et al. Influence of landscape features on urban land surface temperature: Scale and neighborhood effects. Science of the Total Environment, 2021, 771: 145381. https://doi.org/10.1016/j.scitotenv.2021.145381 (SCI Q1, 5-Year IF=8.7, Cititions:47, JCR 2021)
[8]. Lin P, Yang L, Zhao S*. Urbanization effects on Chinese mammal and amphibian richness: a multi-scale study using the urban-rural gradient approach. Environmental Research Communications, 2020, 2(12): 125002. https://doi.org//10.1088//2515-7620//abd1c5 (SCI Q3, 5-Year IF=3.1, Cititions:15, JCR 2020)
[9]. Zhang Y, Liang S*, Yang L. A review of regional and global gridded forest biomass datasets. Remote Sensing, 2019, 11(23): 2744. https://doi.org//10.3390/rs11232744 (SCI Q2, 5-Year IF=4.8, Cititions:60, JCR 2019)
七、联系方式
Email: lu.yang@hainanu.edu.cn
