Earth system modeling and its application

Land surface processes and global change

Human and Earth system interactions

09/2003–07/2008: Institute of Atmospheric Physics, Chinese Academy of Sciences, Ph.D., Atmospheric sciences

09/1999–07/2003: Nanjing University of Information Science and Technology, B.S., Atmospheric sciences

01/2018–present: Professor, Institute of Atmospheric Physics, Chinese Academy of Sciences

04/2012–01/2018: Associate professor, Institute of Atmospheric Physics, Chinese Academy of Sciences

07/2008–04/2012: Assistant professor, Institute of Atmospheric Physics, Chinese Academy of Sciences

3/2016–3/2017:  Visiting scientist, National Center for Atmospheric Research (NCAR), Boulder, CO, USA

[1] Chae Yeon Park, Kiyoshi Takahashi, Fang Li, Junya Takakura, Shinichiro Fujimori, Tomoko Hasegawa, Akihiko Ito, Dong Kun Lee, Wim Thiery. Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions. GLOBAL ENVIRONMENTAL CHANGE. 2023, 80: http://dx.doi.org/10.1016/j.gloenvcha.2023.102667.

[2] W Tang, S Tilmes, D M Lawrence, F Li, C He, L K Emmons, R R Buchholz, L Xia. Impact of solar geoengineering on wildfires in the 21st century in CESM2/WACCM6. ATMOSPHERIC CHEMISTRY AND PHYSICS[J]. 2023, 23: https://doaj.org/article/396c8548111c4292bf0be9749392fc35.

[3] Yuanyu Xie, Meiyun Lin, Bertrand Decharme, Christine Delire, Larry W Horowitz, David M Lawrence, Fang Li, Roland Sfrian. Tripling of western US particulate pollution from wildfires in a warming climate. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 2022, 119(14): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168465/.

[4] Li, Fang, Lawrence, David M, Jiang, Yiquan, Liu, Xiaohong, Lin, Zhongda. Fire Aerosols Slow Down the Global Water Cycle. JOURNAL OF CLIMATE[J]. 2022, 35(22): 3619-3633, [5] 尹德震, 李芳, 林中达. 中国生态脆弱区高温热浪和干旱历史变化特征分析. 气候与环境研究[J]. 2022, 27(5): 604-618, http://lib.cqvip.com/Qikan/Article/Detail?id=7108126970.

[6] Harrison, Sandy P, VillegasDiaz, Roberto, CruzSilva, Esmeralda, Gallagher, Daniel, Kesner, David, Lincoln, Paul, Shen, Yicheng, Sweeney, Luke, Colombaroli, Daniele, Ali, Adam, Barhoumi, Cheima, Bergeron, Yves, Blyakharchuk, Tatiana, Bobek, Premysl, Bradshaw, Richard, Clear, Jennifer L, Czerwinski, Sambor, Daniau, AnneLaure, Dodson, John, Edwards, Kevin J, Edwards, Mary E, Feurdean, Angelica, Foster, David, Gajewski, Konrad, Galka, Mariusz, Garneau, Michelle, Giesecke, Thomas, Gil Romera, Graciela, Girardin, Martin P, Hoefer, Dana, Huang, Kangyou, Inoue, Jun, Jamrichova, Eva, Jasiunas, Nauris, Jiang, Wenying, JimenezMoreno, Gonzalo, KarpinskaKolaczek, Monika, Kolaczek, Piotr, Kuosmanen, Niina, Lamentowicz, Mariusz, Lavoie, Martin, Li, Fang, Li, Jianyong, Lisitsyna, Olga, LopezSaez, Jose Antonio, LuelmoLautenschlaeger, Reyes, Magnan, Gabriel, Magyari, Eniko Katalin, Maksims, Alekss, Marcisz, Katarzyna, Marinova, Elena, Marlon, Jenn, Mensing, Scott, MiroslawGrabowska, Joanna, Oswald, Wyatt, PerezDiaz, Sebastian, PerezObiol, Ramon, Piilo, Sanna, Poska, Anneli, Qin, Xiaoguang, Remy, Cecile C, Richard, Pierre J H, Salonen, Sakari, Sasaki, Naoko, Schneider, Hieke, Shotyk, William, Stancikaite, Migle, Steinberga, Dace, Stivrins, Normunds, Takahara, Hikaru, Tan, Zhihai, Trasune, Liva, Umbanhowar, Charles E, Valiranta, Minna, Vassiljev, Juri, Xiao, Xiayun, Xu, Qinghai, Xu, Xin, Zawisza, Edyta, Zhao, Yan, Zhou, Zheng, Paillard, Jordan. The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records. EARTH SYSTEM SCIENCE DATA[J]. 2022, 14(3): 1109-1124, http://dx.doi.org/10.5194/essd-14-1109-2022.

[7] Zhao, Zhiyi, Lin, Zhongda, Li, Fang, Rogers, Brendan M. Influence of atmospheric teleconnections on interannual variability of Arctic-boreal fires. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2022, 838: http://dx.doi.org/10.1016/j.scitotenv.2022.156550.

[8] Dong, Xiao, Li, Fang, Lin, Zhongda, Harrison, Sandy P, Chen, Yang, Kug, JongSeong. Climate influence on the 2019 fires in Amazonia. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2021, 794: http://dx.doi.org/10.1016/j.scitotenv.2021.148718.

[9] Xu, Xin, Li, Fang, Lin, Zhongda, Song, Xiang. Holocene fire history in China: Responses to climate change and human activities. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2021, 753: http://dx.doi.org/10.1016/j.scitotenv.2020.142019.

[10] Song Xiang, Wang DanYun, Li Fang, Zeng XiaoDong. Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution. ADVANCES IN CLIMATE CHANGE RESEARCH[J]. 2021, 12(4): 584-595, http://dx.doi.org/10.1016/j.accre.2021.06.008.

[11] Huang, Huilin, Xue, Yongkang, Liu, Ye, Li, Fang, Okin, Gregory S. Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model. GEOSCIENTIFIC MODEL DEVELOPMENT[J]. 2021, 14(12): 7639-7657, http://dx.doi.org/10.5194/gmd-14-7639-2021.

[12] 孙康慧, 曾晓东, 李芳. 中国生态脆弱区叶面积指数变化的主导气象因子研究. 自然资源学报[J]. 2021, 36(7): 1873-1892, http://lib.cqvip.com/Qikan/Article/Detail?id=7105224315.

[13] Park, C Y, Takahashi, K, Takakura, J, Li, F, Fujimori, S, Hasegawa, T, Ito, A, Lee, D K. How Will Deforestation and Vegetation Degradation Affect Global Fire Activity?. EARTHS FUTURE[J]. 2021, 9(5): https://doaj.org/article/40bc68b31a3345c2b69bcca9e15666a7.

[14] Fang LI. Quantifying the impacts of fire aerosols on global terrestrial ecosystem productivity with the fully-coupled Earth system model CESM. ATMOSPHERIC AND OCEANIC SCIENCE LETTERS[J]. 2020, 13(4): 330-337, https://doaj.org/article/ac041827d6d54166bdba33c721947804.

[15] Jiang, Yiquan, Yang, XiuQun, Liu, Xiaohong, Qian, Yun, Zhang, Kai, Wang, Minghuai, Li, Fang, Wang, Yong, Lu, Zheng. Impacts of Wildfire Aerosols on Global Energy Budget and Climate: The Role of Climate Feedbacks. JOURNAL OF CLIMATE[J]. 2020, 33(8): 3351-3366, http://dx.doi.org/10.1175/JCLI-D-19-0572.1.

[16] Song, Xiang, Li, Fang, Harrison, Sandy P, Luo, Tianxiang, Arneth, Almut, Forrest, Matthew, Hantson, Stijn, Lasslop, Gitta, Mangeon, Stephane, Ni, Jian, Yue, Chao, Hickler, Thomas, Luo, Yiqi, Sitch, Stephen, Xu, Xin, Zhu, Zaichun. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations. ENVIRONMENTAL RESEARCH LETTERS[J]. 2020, 15(9): http://dx.doi.org/10.1088/1748-9326/ab94e8.

[17] Huang, Huilin, Xue, Yongkang, Li, Fang, Liu, Ye. Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation-fire model SSiB4/TRIFFID-Fire v1.0. GEOSCIENTIFIC MODEL DEVELOPMENT[J]. 2020, 13(12): 6029-6050, https://doaj.org/article/fbb61a77292c417a80c6e0f7795b572c.

[18] Lasslop, Gitta, Hantson, Stijn, Harrison, Sandy P, Bachelet, Dominique, Burton, Chantelle, Forkel, Matthias, Forrest, Matthew, Li, Fang, Melton, Joe R, Yue, Chao, Archibald, Sally, Scheiter, Simon, Arneth, Almut, Hickler, Thomas, Sitch, Stephen. Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and carbon storage reduction. GLOBAL CHANGE BIOLOGY[J]. 2020, 26(9): 5027-5041, http://dx.doi.org/10.1111/gcb.15160.

[19] Hantson, Stijn, Kelley, Douglas, I, Arneth, Almut, Harrison, Sandy P, Archibald, Sally, Bachelet, Dominique, Forrest, Matthew, Hickler, Thomas, Lasslop, Gitta, Li, Fang, Mangeon, Stephane, Melton, Joe R, Nieradzik, Lars, Rabin, Sam S, Prentice, I Colin, Sheehan, Tim, Sitch, Stephen, Teckentrup, Lina, Voulgarakis, Apostolos, Yue, Chao. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project. GEOSCIENTIFIC MODEL DEVELOPMENT[J]. 2020, 13(7): 3299-3318, https://doaj.org/article/be70f1cdf7634a1c987eb407ce5abf7b.

[20] Lawrence, David M, Fisher, Rosie A, Koven, Charles D, Oleson, Keith W, Swenson, Sean C, Bonan, Gordon, Collier, Nathan, Ghimire, Bardan, van Kampenhout, Leo, Kennedy, Daniel, Kluzek, Erik, Lawrence, Peter J, Li, Fang, Li, Hongyi, Lombardozzi, Danica, Riley, William J, Sacks, William J, Shi, Mingjie, Vertenstein, Mariana, Wieder, William R, Xu, Chonggang, Ali, Ashehad A, Badger, Andrew M, Bisht, Gautam, van den Broeke, Michiel, Brunke, Michael A, Burns, Sean P, Buzan, Jonathan, Clark, Martyn, Craig, Anthony, Dahlin, Kyla, Drewniak, Beth, Fisher, Joshua B, Flanner, Mark, Fox, Andrew M, Gentine, Pierre, Hoffman, Forrest, KeppelAleks, Gretchen, Knox, Ryan, Kumar, Sanjiv, Lenaerts, Jan, Leung, L Ruby, Lipscomb, William H, Lu, Yaqiong, Pandey, Ashutosh, Pelletier, Jon D, Perket, Justin, Randerson, James T, Ricciuto, Daniel M, Sanderson, Benjamin M, Slater, Andrew, Subin, Zachary M, Tang, Jinyun, Thomas, R Quinn, Martin, Maria Val, Zeng, Xubin. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS[J]. 2019, 11(12): 4245-4287, https://doaj.org/article/dd00a1af9b464bd5b5a09d3856a6feaf.

[21] Forkel, Matthias, Andela, Niels, Harrison, Sandy P, Lasslop, Gitta, van Marle, Margreet, Chuvieco, Emilio, Dorigo, Wouter, Forrest, Matthew, Hantson, Stijn, Heil, Angelika, Li, Fang, Melton, Joe, Sitch, Stephen, Yue, Chao, Arneth, Almut. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models. BIOGEOSCIENCES[J]. 2019, 16(1): 57-76, https://doaj.org/article/f07835d9d2e34f4c888cc4ea5ad53a99.

[22] Teckentrup, Lina, Harrison, Sandy P, Hantson, Stijn, Heil, Angelika, Melton, Joe R, Forrest, Matthew, Li, Fang, Yue, Chao, Arneth, Almut, Hickler, Thomas, Sitch, Stephen, Lasslop, Gitta. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models. BIOGEOSCIENCES[J]. 2019, 16(19): 3883-3910, https://doaj.org/article/6a343e53dc314a6d9e7396c9b4db98cc.

[23] F Li, M Val Martin, M O Andreae, A Arneth, S Hantson, J W Kaiser, G Lasslop, C Yue, D Bachelet, M Forrest, E Kluzek, X Liu, S Mangeon, J R Melton, D S Ward, A Darmenov, T Hickler, C Ichoku, B I Magi, S Sitch, G R van der Werf, C Wiedinmyer, S S Rabin. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP). ATMOSPHERIC CHEMISTRY AND PHYSICS[J]. 2019, 19(19): 12545-12567, https://doaj.org/article/292f4f6bd758481bb276657756f884ce.

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[26] 李芳. Fire and fire emissions. In: Technical description of version 5.0 of the Community Land Model (CLM). CLM5 Tech Note. 2018, [27] Kondo, Masayuki, Ichii, Kazuhito, Patra, Prabir K, Canadell, Joseph G, Poulter, Benjamin, Sitch, Stephen, Calle, Leonardo, Liu, Yi Y, van Dijk, Albert I J M, Saeki, Tazu, Saigusa, Nobuko, Friedlingstein, Pierre, Arneth, Almut, Harper, Anna, Jain, Atul K, Kato, Etsushi, Koven, Charles, Li, Fang, Pugh, Thomas A M, Zaehle, Soenke, Wiltshire, Andy, Chevallier, Frederic, Maki, Takashi, Nakamura, Takashi, Niwa, Yosuke, Roedenbeck, Christian. Land use change and El Nino-Southern Oscillation drive decadal carbon balance shifts in Southeast Asia. NATURE COMMUNICATIONS[J]. 2018, 9: http://dx.doi.org/10.1038/s41467-018-03374-x.

[28] Li, Fang, Lawrence, David M, BondLamberty, Ben. Human impacts on 20th century fire dynamics and implications for global carbon and water trajectories. GLOBAL AND PLANETARY CHANGE[J]. 2018, 162: 18-27, http://dx.doi.org/10.1016/j.gloplacha.2018.01.002.

[29] ZhongDa LIN, Fang LI. Impact of interannual variations of spring sea ice in the Barents Sea on East Asian rainfall in June. ATMOSPHERIC AND OCEANIC SCIENCE LETTERS[J]. 2018, 11(3): 275-281, http://lib.cqvip.com/Qikan/Article/Detail?id=675959481.

[30] Zhu, Jiawen, Zeng, Xiaodong, Zhang, Minghua, Dai, Yongjiu, Ji, Duoying, Li, Fang, Zhang, Qian, Zhang, He, Song, Xiang. Evaluation of the New Dynamic Global Vegetation Model in CAS-ESM. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2018, 35(6): 659-670, http://dx.doi.org/10.1007/s00376-017-7154-7.

[31] ZhongDa LIN, Fang LI. Impact of interannual variations of spring sea ice in the Barents Sea on East Asian rainfall in June. 大气和海洋科学快报：英文版[J]. 2018, 11(3): 275-281, http://lib.cqvip.com/Qikan/Article/Detail?id=675959481.

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[34] 李芳. Role of fire in the global land water budget during the 20th century through changing ecosystems. Journal of Climate. 2017, [35] Li, Fang, Lawrence, David M. Role of Fire in the Global Land Water Budget during the Twentieth Century due to Changing Ecosystems. JOURNAL OF CLIMATE[J]. 2017, 30(6): 1893-1908, https://www.webofscience.com/wos/woscc/full-record/WOS:000395765900002.

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[39] Fang Li, David M Lawrence, Ben BondLamberty. Impact of fire on global land surface air temperature and energy budget for the 20th century due to changes within ecosystems. IOP PUBLISHING LIMITED. 2017, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201902189833728ZK.

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[43] Song Xiang, Zeng Xiaodong, Li Fang. Evaluation of the individual allocation scheme and its impacts in a dynamic global vegetation model. 大气和海洋科学快报：英文版[J]. 2016, 38-44, http://lib.cqvip.com/Qikan/Article/Detail?id=667934305.

[44] Song Xiang, Zeng XiaoDong, Li Fang. Evaluation of the individual allocation scheme and its impacts in a dynamic global vegetation model. ATMOSPHERIC AND OCEANIC SCIENCE LETTERS[J]. 2016, 9(1): 38-44, http://lib.cqvip.com/Qikan/Article/Detail?id=667934305.

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[46] WANG Huijun, FAN Ke, SUN Jianqi, LI Shuanglin, LIN Zhaohui, ZHOU Guangqing, CHEN Lijuan, LANG Xianmei, LI Fang, ZHU Yali, CHEN Hong, ZHENG Fei. A Review of Seasonal Climate Prediction Research in China. 大气科学进展：英文版[J]. 2015, 32(2): 149-168, http://lib.cqvip.com/Qikan/Article/Detail?id=663762639.

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[48] Li Fang, Lin Zhongda. Improving Multi-model Ensemble Probabilistic Prediction of Yangtze River Valley Summer Rainfall. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2015, 32(4): 497-504, http://lib.cqvip.com/Qikan/Article/Detail?id=664227441.

[49] Zhu Jiawen, Zeng Xiaodong, Li Fang, Song Xiang. Preliminary Assessment of the Common Land Model Coupled with the IAP Dynamic Global Vegetation Model. 大气和海洋科学快报：英文版[J]. 2014, 505-509, http://lib.cqvip.com/Qikan/Article/Detail?id=662779078.

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[58] Li Fang, Zeng Xiaodong, Song Xiang, Tian Dongxiao, Shao Pu, Zhang Dongling. Impact of spin-up forcing on vegetation states simulated by a dynamic global vegetation model coupled with a land surface model. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2011, 28(4): 775-788, http://lib.cqvip.com/Qikan/Article/Detail?id=38699097.

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