教師基本信息：
姓名：王新新 Xinxin Wang
職稱：青年研究員 Professor (tenue track)
電子郵箱：wangxinxin@fudan.edu.cn
辦公地點： 万博体育分 G區
個人網頁/課題組主頁：https://ecology.fudan.edu.cn/4b/58/c30055a674648/page.htm
研究方向：生態遙感/濕地生態學 Remote Sensing in Ecology/Ecology of Wetlands
個人簡介：
王新新，男，1991年生，青年研究員，博士生導師。2021年6月獲狗万外围充值 生態學博士學位。入選國家級青年人才計劃（2024）、中國濕地遙感優秀青年學者（2023）、中國科協青年人才智庫（2022）、上海市人才計劃（2021）等，兼任國際數字地球學會中國國家委員會數字濕地專業委員會委員。研究方向為濕地生態遙感。主持國家重點研發青年科學家項目課題、自然基金重點項目課題、國自然青年基金等，以第一作者身份在Science、Nature Sustainability、Nature Communications等期刊發表論文多篇。擔任Journal of Plant Ecology、應用生態學報、Ecosystem Health and Sustainability等期刊青年編委。
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.
招生專業：
濕地生態學、生態環境遙感
Ecology of Wetlands/Remote Sensing in Ecology
科研項目：
1、國家重點研發青年科學家項目課題，2023YFF0806900，202312-202811，主持
2、中國生態學學會青年人才托舉工程項目，STQT2022C05，2022-2024，主持
3、國家自然科學基金青年項目，42201341，2023-2025，主持
4、中國博士後科學基金特別資助（站前），2021TQ0072， 2021-2024，主持
5、中國博士後科學基金麵上資助，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).
獲獎情況：
第一屆全國生態學優秀博士論文（全國共10名），2023
狗万外围充值 優秀博士後（1/10），2023
中國濕地遙感優秀青年學者，（1/10），2023
中國生態學學會青年人才托舉工程項目（2022-2024年），2022
中國科協科技智庫青年人才計劃，2022
上海市超級博士後，2021
代表性論文和論著：
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.