乌兰 (Lan Wu)

Hainan University副教授

H指数:32

被引数:3,090

个人简介

"乌兰女副教授海南大学生态学院\n邮箱：wulan@hainanu.edu.cn\n通讯地址：海南省海口市美兰区人民大道58号海南大学农科楼105\n邮政编码：570228\n研究领域：陆地生态系统模拟、植被与生态遥感、森林干扰\n研究生招生专业\n学术学位博士—生态学\n学术学位硕士—生态学\n专业学位硕士—资源利用与植物保护\n教育背景\n2016.10-2020.03北海道大学生态系统生态学博士\n2013.09-2015.07东北师范大学地图学与地理信息系统硕士\n2009.09-2013.07内蒙古师范大学地理信息系统学士\n工作简历\n2020.05-2021.09 海南大学生态与环境学院讲师\n2021.09-2024.04 海南大学生态与环境学院副教授\n2024.04至今海南大学生态学院副教授\n主讲课程\n本科生：环境学概论，生态监测与评价，旅游生态学，遥感\n研究生：生态安全与评估，人、自然与生态和谐\n科研项目\n2025-2028，国家自然科学基金地区科学基金项目，不同退塘还林红树恢复模式的光合功能稳定性差异其驱动机制探究，主持；\n2024-2026，海南省高等学校教育教学改革研究项目，职业导向的专业应用型课程思政模式研究-以《生态监测与评价》为例，主持；\n2022-2025，国家自然科学基金地区科学基金项目，面向过程的热带同龄纯林碳循环干旱响应研究-天然橡胶人工林为例，参与；\n2022-2024，海南省自然科学基金高层次人才项目，海南岛红树林生态系统碳汇能力的台风扰动恢复研究，主持；\n2022-2023，海南省重点研发项目，红树林生态系统碳汇精准动态预估及增汇技术研究，参与；\n2021-2024，海南省自然科学基金青年基金项目，基于机器学习算法和多源数据融合的海南省橡胶林病虫害易受灾区域预测，主持；\n2021-2024, Richard Leaver 院士工作站，海南省重点实验室和工程技术研究中心建设专项项目，参与；\n2021–2024，国家自然科学基金项目面上基金项目，香蕉秸秆异向均切防缠抛撒还田机理及其减阻优化设计研究，参与；\n2021-2022,国家林草局，海南热带雨林国家公园退化天然林修复政策研究，参与；\n2021-2022，海南国家公园研究院，海南热带雨林国家公园人工生态系统未来演变方向研究与规划建议，参与；\n2020-2023,海南省自然科学基金青年基金项目，热带森林碳循环的干旱动态响应评估研究，参与；\n2019-2024,海南大学引进人才启动基金，基于光学遥感和雷达遥感数据的森林生物量估算，主持。\n发表论文\nZhang Xiang, Sun Zhongyi, Zheng Yinqi, Dong Lu, Wang Peng, Zhang Jie, Lu Jingli, Wu Lan*. Spatial Distribution Changes and Factor Analysis of Topsoil Organic Carbon Across Different Forest Types on Hainan Island[J]. Forests, 2025, 16(3): 550.\nSun, Zhongyi; An, Yinghe; Kong, Jiayan; Zhao, Junfu; Cui, Wei; Nie, Tangzhe; Zhang, Tianyou; Liu, Wenjie; Wu, Lan*. Exploring the spatio-temporal patterns of global mangrove gross primary production and quantifying the factors affecting its estimation, 1996–2020[J]. Science of The Total Environment, 2024, 908: 168262.\nZhang, Runqing; E, Xiaoyu; Ma, Zhencheng; An, Yinghe; Bao, Qinggele; Wu, Zhixiang; Wu, Lan*; Sun, Zhongyi*. Drought Sensitivity and Vulnerability of Rubber Plantation GPP—Insights from Flux Site-Based Simulation[J]. Land, 2024, 13(6): 745.\nShi Xian, Wu Lan, Zheng Yinqi, Zhang Xiang, Wang Yijia, Chen Quan, Sun Zhongyi. Dynamic Estimation of Mangrove Carbon Storage in Hainan Island Based on the InVEST-PLUS Model[J]. Forests, 2024, 15(5): 750.\nZhang Runqing, Xiong Qian, Wu Lan, Wang Peng, Kong Jiayan, Shi Xian, Sun Zhongyi*. Water supply following drought: Effects on drougt legacy and resilience in a tropical forest-A case study in Xishuangbanna, China[J]. Ecological Informatics, 2024, 79: 102422.\nAn Yinghe, Wu Zhixiang, Wang Yichen, Zhang Runqing, Wu Lan, Liu Wenjie, Wang Peng, Sun Zhongyi*. Spatiotemporal dynamics and underlying mechanisms of ecosystem respiration in rubber plantations: a case study in Hainan Island[J]. Journal of Rubber Research, 2024, 27(3): 283-298.\nKong Jiayan, Wu Lan, Cao Jiaxin, Cui Wei, Nie Tangzhe, An Yinghe, Sun Zhongyi*. Meteorological Impacts on Rubber Tree Powdery Mildew and Projections of Its Future Spatiotemporal Pattern[J]. Agriculture, 2024, 14(4): 619.\nWu, Lan; Guo, Enliang; An, Yinghe; Xiong, Qian; Shi, Xian; Zhang, Xiang; Sun, Zhongyi*. Evaluating the losses and recovery of GPP in the subtropical mangrove forest directly attacked by tropical cyclone: case study in Hainan Island[J]. Remote Sensing, 2023, 15(8): 2094.\nKong Jiayan, An Yinghe, Shi Xian, Wu Lan*, Cui Wei*. Meteorological-data-Driven rubber tree powdery mildew model and its application on spatiotemporal patterns: a case study of hainan island[J]. Sustainability, 2023, 15(16): 12119.\nXiong Qian, Sun Zhongyi, Cui Wei, Lei Jizhou, Fu Xiuxian, Wu Lan*. A study on sensitivities of tropical forest GPP responding to the characteristics of drought—A case study in Xishuangbanna, China[J]. Water, 2022, 14(2): 157.\nWu, Lan, Kato, Tomomichi, Sato, Hisashi, Hirano, Takashi, Yazaki, Tomotsugu. (2019). Sensitivity analysis of the typhoon disturbance effect on forest dynamics and carbon balance in the future in a cool-temperate forest in northern Japan by using SEIB-DGVM[J]. Forest ecology and management, 2019, 451: 117529.\nLi Hantao, Kato Tomomichi, Hayashi Masato, Wu Lan. Estimation of forest aboveground biomass of two major conifers in Ibaraki Prefecture, Japan, from palsar-2 and sentinel-2 data[J]. Remote Sensing, 2022, 14(3): 468.\nNinomiya Hideki, Kato Tomomichi, Végh Lea, Wu Lan. Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0)[J]. Geoscientific Model Development, 2023, 16(14): 4155-4170."