Selected Publication

Li, Y. (2024). Climate feedback of plant physiological responses to increasing atmospheric CO2 in Earth system models. New Phytologist. https://doi.org/10.1111/nph.20184

Li, Y., Baker, J., Brando, P., Hoffman, F., Lawrence, D., Morton, D., Swann, A., Uribe, M., Randerson, J. (2023). Future increases in Amazonia water stress from CO2 physiology and deforestation. Nature Water. 1, 769-777. https://doi.org/10.1038/s44221-023-00128-y

Li, Y., Brando, P., Morton, D., Lawrence, D., Yang, H., Randerson, J. (2022). Deforestation-induced climate change reduces carbon storage in remaining tropical forests. Nature Communications. 13, 1964. https://doi.org/10.1038/s41467-022-29601-0

Li, Y., Randerson, J., Mahowald, N., & Lawrence, P. (2021). Deforestation strengthens dust transport from North Africa to the Amazon. Journal of Climate. 34(15), 6087-6096. https://doi.org/10.1175/JCLI-D-20-0786.1

Li, Y., Piao, S., Chen, A., Ciais, P., & Li, L. Z. (2020). Local and teleconnected temperature effects of afforestation and vegetation greening in China. National Science Review, 7(5), 897-912. https://doi.org/10.1093/nsr/nwz132

Li, X., Li, Y., Chen, A., Gao, M., Slette, I., Piao, S. (2019). The impact of the 2019/2020 drought on vegetation growth and terrestrial carbon cycle in Southwest China. Agricultural and Forest Meteorology, 269, 239-248. https://doi.org/10.1016/j.agrformet.2019.01.036

Li, Y., Zeng, Z., Huang, L., Lian, X., & Piao, S. (2018). Comment on “Satellites reveal contrasting responses of regional climate to the widespread greening of Earth”. Science, 360(6394). https://doi.org/10.1126/science.aap7950

Li, Y., Piao, S., Li, L. Z., Chen, A., Wang, X., Ciais, P., … & Wang, K. (2018). Divergent hydrological response to large-scale afforestation and vegetation greening in China. Science Advances, 4(5), eaar4182. https://doi.org/10.1126/sciadv.aar4182

Li, Y., Yang, H., Wang, T., MacBean, N., Bacour, C., Ciais, P., … & Piao, S. (2017). Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities. Global Biogeochemical Cycles, 31(8), 1344-1366. https://doi.org/10.1002/2017GB005714

Li, Y., Wang, T., Zeng, Z., Peng, S., Lian, X., & Piao, S. (2016). Evaluating biases in simulated land surface albedo from CMIP5 global climate models. Journal of Geophysical Research: Atmospheres, 121(11), 6178-6190. https://doi.org/10.1002/2016JD024774

Li, Y., Zeng, Z., Zhao, L., & Piao, S. (2015). Spatial patterns of climatological temperature lapse rate in mainland China: A multi–time scale investigation. Journal of Geophysical Research: Atmospheres, 120(7), 2661-2675. https://doi.org/10.1002/2014JD022978

Full Publication List

See Yue’s profile of Google Scholar (https://scholar.google.com/citations?user=yXPbKtkAAAAJ&hl=en)