Vegetation and climate interactions

  1. Li, Y.*, Xu, R., Yang, K., Liu, Y., Wang, S., Zhou, S., Yang, Z., Feng, X., He, C., Xu, Z., & Zhao, W. (2023). Contribution of Tibetan Plateau ecosystems to local and remote precipitation through moisture recycling. Global Change Biology, 29(3), 702– 718 [Link]
  2. Xu, R., Li, Y.*, Teuling, A. J., Zhao, L., Spracklen, D. V, Garcia-Carreras, L., … Fu, B. (2022). Contrasting impacts of forests on cloud cover based on satellite observations. Nature Communications, 13(1), 670. [Link]
  3. Lin, H., Li, Y, Zhao, L. (2022). Partitioning of sensible and latent heat fluxes in different vegetation types and their spatiotemporal variations based on 203 FLUXNET sites. Journal of Geophysical Research: Atmospheres, e2022JD037142 [Link]
  4. Li, Y.*, Sulla-Menashe, D., Motesharrei, S., Song, X., Ying, Q., Li, S., Ma, Z. (2017). Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions. Scientific Report 7, 1–12. [Link]
  5. Li, Y.*, Zhao, M., Mildrexler, D.J., Motesharrei,S., Mu, Q., Kalnay, E., Zhao, F., Li, S., Wang, K. (2016). Potential and Actual impacts of deforestation and afforestation on land surface temperature. Journal of Geophysical Research: Atmospheres, 121(24):14,372–14,386 [Link]
  6. Li, Y.*, deNoblet-Ducoudré, N., Davin, E.L., Zeng, N., Motesharrei, S., Li, S., Kalnay, E. (2016). The role of spatial scale and background climate inthe latitudinal temperature response to deforestation. Earth System Dynamics, 7(1):167–181. [Link]
  7. Li, Y.*, Zhao, M., Motesharrei, S., Mu, Q., Kalnay, E., Li, S. (2015). Local cooling and warming effects of forests based on satellite observations. Nature Communications, 6:6603 [Link]

Crop and climate interactions

  1. Xu, R., Li, Y.*, Guan, K., Zhao, L., Peng, B., Miao, C., & Fu, B. (2022). Divergent responses of maize yield to precipitation in the United States. Environmental Research Letters, 17(1), 014016. [Link]
  2. Li, Y.*, Guan, K.*, Peng, B., Franz, T. E., Wardlow, B., Pan, M. (2020). Quantifying irrigation cooling benefits to maize yield in the US Midwest. Global Change Biology, 1–14. [Link]
  3. Li, Y.*, Guan, K.*, Schnitkey, D. G., DeLucia, E., Peng, B. (2019). Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States. Global Change Biology, 25, 2325–2337. [Link]
  4. Li, Y.*, Guan, K.*, Yu, A., Peng, B., Zhao, L., Li, B., Peng, J., (2019). Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S. Field Crops Research, 234, 55–65. [Link]

Feedbacks of renewable energy on climate

  1. Xu, Z., Li, Y., Qin, Y., Bach, E. (2024). A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing. Solar Energy, 268, 112198. [Link]
  2. Qin, Y., Li, Y.*, Xu, R., Hou, C., Armstrong, A., Bach, E., … Fu, B. (2022). Impacts of 319 wind farms on surface temperature and vegetation in the United States. Environmental Research Letters, 17(2), 024026. [Link]
  3. Li, Y.*, Kalnay, E.*, Motesharrei, S.*, Rivas, J., Kucharski, F., Kirk-Davidoff, D., Bach,E., Zeng, N. (2018). Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation. Science. 361, 1019–1022. [Link]

Feedbacks of urbanization on climate

  1. Li, Y.*, Li, Y., Zhu, L., Zhao, X., Li, S., Yan, Y. (2013). Urbanization Impact on Temperature Change in China with Emphasis on Land Cover Change and Human Activity. Journal of Climate, 26(22):8765–8780. [Link]
  2. Li, Y.*, X. Zhao, (2012). An empirical study of the impact of human activity on long-term temperature change in China : A perspective from energy consumption. Journal of Geophysical Research, 117, 1–12. [Link]

Coupled human and natural systems

  1. Li, Y.*, Sang, S., Mote, S., Rivas, J., & Kalnay, E. (2023). Challenges and opportunities for modeling coupled human and natural systems. National Science Review, nwad054 [Link]
  2. Fu, B.* and Li, Y.. (2016). Bidirectional coupling between the earth and human systems is essential for modeling sustainability. National Science Review, 3(4):397–398, [Link]

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