清华大学武超--中文主页--学术论文

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武超

助理教授

个人信息

电子邮箱：chao-wu@tsinghua.edu.cn

学科：生态学

中文主页 > 科学研究 > 学术论文

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)

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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)

首页

科学研究

奖励荣誉

教学研究

招生信息

学生信息

教师博客

个人信息

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)

[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.