教师基本信息：
姓名：王新新 Xinxin Wang
职称：青年研究员 Professor (tenue track)
电子邮箱：wangxinxin@fudan.edu.cn
办公地点： 生命科学学院G区
个人网页/课题组主页：https://ecology.fudan.edu.cn/4b/58/c30055a674648/page.htm
研究方向：生态遥感/湿地生态学 Remote Sensing in Ecology/Ecology of Wetlands
个人简介：
王新新，男，1991年生，青年研究员，博士生导师。2021年6月获复旦大学生态学博士学位。入选国家级青年人才计划（2024）、中国湿地遥感优秀青年学者（2023）、中国科协青年人才智库（2022）、上海市人才计划（2021）等，兼任国际数字地球学会中国国家委员会数字湿地专业委员会委员。研究方向为湿地生态遥感。主持国家重点研发青年科学家项目课题、自然基金重点项目课题、国自然青年基金等，以第一作者身份在Science、Nature Sustainability、Nature Communications等期刊发表论文多篇。担任Journal of Plant Ecology、应用生态学报、Ecosystem Health and Sustainability等期刊青年编委。
Xinxin Wang is a professor (tenue track) of Ecology at School of Life Sciences, Fudan University. He had Ph.D. in Ecology from Fudan University. Dr. Wang has three focused areas: (1) remote sensing in wetland and water resource, (2) ecological and environmental impacts of land use change, and (3) impacts of climate change on greenhouse gas emissions from wetlands. As principal investigator, Dr. Wang has been involved in 5 projects (e.g., the National Key Research and Development Program of China, the National Natural Science Foundation of China, and the China Postdoctoral Science Foundation). He has authored 9 peer-reviewed journal papers (e.g., Science, Nature Sustainability, Nature Communications, Remote Sensing of Environment), and is selected as Youth Editorial Board members for Journal of Plant Ecology, Watershed Ecology and the Environment, and Ecosystem Health and Sustainability.
招生专业：
湿地生态学、生态环境遥感
Ecology of Wetlands/Remote Sensing in Ecology
科研项目：
1、国家重点研发青年科学家项目课题，2023YFF0806900，202312-202811，主持
2、中国生态学学会青年人才托举工程项目，STQT2022C05，2022-2024，主持
3、国家自然科学基金青年项目，42201341，2023-2025，主持
4、中国博士后科学基金特别资助（站前），2021TQ0072， 2021-2024，主持
5、中国博士后科学基金面上资助，2021M700835，2021-2024，主持
As principal investigator, Dr. Wang has been involved in 5 projects (e.g., the National Key Research and Development Program of China, the National Natural Science Foundation of China, and the China Postdoctoral Science Foundation).
获奖情况：
第一届全国生态学优秀博士论文（全国共10名），2023
复旦大学优秀博士后（1/10），2023
中国湿地遥感优秀青年学者，（1/10），2023
中国生态学学会青年人才托举工程项目（2022-2024年），2022
中国科协科技智库青年人才计划，2022
上海市超级博士后，2021
代表性论文和论著：
1. Wang, X., Xiao, X*., Zhang, C., Dong, J., Li, B*. Effects of the 2022 extreme droughts on avian influenza transmission risk in Poyang Lake. The Innovation Life, 2023, 1(3), 100044.
2. Wang, X., Xiao, X*., Zhang, X., Wu, J., Li, B*. Rapid and large changes of coastal wetland structure in China’s major river deltas. Global Change Biology, 2023, 29,2286-2300.
3. Wang, X., Xiao, X., Zhang, X., Ye, H., Dong, J., He, Q., Wang, X., Liu, J., Li, B., Wu, J*. Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China. Journal of Cleaner Production, 2023, 417, 138015.
4. Wang, X., Xiao, X., He, Q., Zhang, X., Wu, J., Li, B*. Biological invasions in China’s coastal zone. Science, 2022, 378 (6623), 957.
5. Wang, X., Xiao, X*., Qin, Y., Dong, J., Wu, J., Li, B*. Improved maps of surface water bodies, large dams, reservoirs, and lakes in China. Earth System Science Data, 2022, 14, 3757-3771.
6. Wang, X., Xiao, X*., Xu X., Zou, Z., Chen, B., Qin, Y., Dong, J., Liu, D., Pan, L., Li, B*. Rebound in China’s coastal wetlands following conservation and restoration. Nature Sustainability, 2021, 4, 1076–1083.
7. Wang, X., Xiao, X*., Zou, Z., Dong, J., Qin, Y., Doughty, R., Menarguez, M., Chen, B., Wang, J., Ye, H., Ma, J., Zhong, Q., Zhao, B., Li, B*. Gainers and losers of surface and terrestrial water resources in China during 1989–2016. Nature Communications, 2020, 11(1), 1-12.
8. Wang, X., Xiao, X*., Zou, Z., Chen, B., Ma, J., Dong, J., Doughty, R., Zhong, Q., Qin, Y., Dai, S., Li, X., Zhao, B., Li, B. Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine. Remote Sensing of Environment, 2020, 238, 110987.
9. Wang, X., Xiao, X*., Zou, Z., Hou, L., Qin, Y., Dong, J., Doughty, R., Chen, B., Zhang, X., Chen, Y., Ma, J., Zhao, B., Li, B*. Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 163, 312-326.