学术论文（部分）（*通讯作者）

1. 陆地生物地球化学循环与气候反馈：

[4] Wu C*, Sitch S, Huntingford C, Mercado LM, Venevsky S, Lasslop G, Archibald S, Staver AC (2022) Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake. Proceedings of the National Academy of Sciences, 119, e2101186119.

[3] Wang M, Venevsky S*, Wu C*, Berdnikov S, Sorokina V, Kulygin V (2021) Description of local carbon flux from large scale gridded climate data by a global dynamic vegetation model at variable time steps: example of Euroflux sites. Science of the Total Environment, 756, 143492.

[2] Huang X, Ni S, Wu C, Zorn C, Zhang W, Yu C* (2020) GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales. Environmental Modelling & Software, 134, 104807.

[1] Chu H, Venevsky S*, Wu C, Wang M (2019) NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015. Science of the Total Environment, 650, 2051-2062.

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2. 干扰与极端气候风险：

[8] Zhang W, Liu R*, He J, Liu Y, Wu C (2025) Global fire season types and their characteristics based on MODIS burned area data. Chinese Geographical Science, 35, 374-383.

[7] Akter S, Dube OP, Villagra P, Mockrin M, Taylor S, Roald LA, Di Giuseppe F, Wu C, Fernandes PM, Rouet-Leduc J (2024) Fire risk in a warming world. One Earth, 7, 927-931. (Invited Voices panel article)

[6] Chen B*, Wu S, Jin Y, Song Y, Wu C, Venevsky S, Xu B, Webster C, Gong P. (2024) Wildfire risk for global wildland–urban interface areas. Nature Sustainability, 7, 474–484.

[5] Anderegg WRL*, Wu C, Acil N, Carvalhais N, Pugh TAM, Sadler JP, Seidl R (2022) A climate risk analysis of Earth’s forests in the 21st century. Science, 377, 1099-1103.

[4] Wu C*, Venevsky S*, Sitch S, Mercado LM, Huntingford C, Staver AC (2021) Historical and future global burned area with changing climate and human demography. One Earth, 4, 517-530.

[3] Venevsky S*, Le Page Y, Pereira JMC, Wu C* (2019) Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations. Geoscientific Model Development, 12, 89-110.

[2] Wu C, Wang M, Lu C, Venevsky S*, Sorokina V, Kulygin V, Berdnikov S (2018) Climate-induced fire regimes in the Russian biodiversity hotspots. Global Ecology and Conservation, 16, e00495.

[1] Wu C, Venevsky S*, Sitch S, Yang Y, Wang MH, Wang L, Gao Y (2017) Present-day and future contribution of climate and fires to vegetation composition in the boreal forest of China. Ecosphere, 8, e01917.

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3. 森林碳汇与基于自然的气候解决方案：

[5] Anderegg WRL*, Blanchard L, Anderson C, Badgley G, Cullenward D, Gao P, Goulden ML, Haya B, Holm JA, Hurteau MD., Lague M, Liu M, Novick KA., Randerson JT, Trugman AT, Wang JA, Williams CA, Wu C, Yang L (2025) Towards more effective nature-based climate solutions in global forests. Nature, 643, 1214-1222

[4] Anderegg WRL*, Trugman AT, Vargas G G, Wu C, Yang L (2025) Current forest carbon offset buffer pool contributions do not adequately insure against disturbance-driven carbon losses. Global Change Biology, 31, e70251

[3] Blanchard L*, Haya B, Anderson C, Badgley G, Cullenward D, Gao P, Goulden ML, Holm JA, Novick KA, Trugman AT, Wang JA, Williams CA, Wu C, Yang L, Anderegg WRL (2024) Funding forests’ climate potential without carbon offsets. One Earth, 7, 1147-1150.

[2] Wu C*, Coffield SR, Goulden ML, Randerson JT, Trugman, AT, Anderegg WRL (2023) Uncertainty in US forest carbon storage potential due to climate risks. Nature Geoscience, 16, 422–429.

[1] Anderegg WRL*, Trugman, AT, Wang, J, Wu C (2022) Open science priorities for rigorous nature-based climate solutions. PLOS Biology, 20, e3001929.

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4. 森林生态系统韧性与气候变化：

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2019年 北京市优秀毕业生

2022年 细胞出版社2021中国年度论文奖-交叉科学

2023年 国家级青年人才项目