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Major publications：

• 1. Fang J, Lutz JA, Shugart HH, Yan X. 2020. A physiological model for predicting dynamics of tree stem-wood non-structural carbohydrates. Journal of Ecology, 108: 702-718.
  2. Fang J, Lutz JA, Wang L, Shugart HH, Yan X. 2020. Using climate-driven leaf phenology and growth to improve predictions of gross primary productivity in North American forests. Global Change Biology, 26: 6974-6988.
  3. Fang J, Lutz JA, Shugart HH, Yan X, Xie W, Liu F. 2021. Improving intra-and inter-annual GPP predictions by using individual tree inventories and leaf growth dynamics. Journal of Applied Ecology, 58: 2315-2328.
  4. Fang J, Lutz JA, Shugart HH, Wang L, Liu F, Yan X. 2022. Continental-scale parameterization and prediction of leaf phenology for the North American forests. Global Ecology and Biogeography, 31: 1603-1615.
  5. Fang J, Shugart HH, Liu F, Yan X, Song Y, Lv F. 2022. FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics. Geoscientific Model Development, 15: 6863-6872.
  6. Fang J, Lutz JA, Shugart HH., Liu F, Yan X. 2022. Predicting soil mineralized nitrogen dynamics with fine root growth and microbial processes in temperate forests. Biogeochemistry, 158: 1-17.
  7. Fang J, Liu F, Shugart HH, Yan X. 2022. Using a Simple Representation of Non‐Structural Carbohydrates Allocation to Predict Wood Growth in Temperate Forests. Journal of Geophysical Research: Biogeosciences, 127: 1-14.
  8. Fang J, Li X, Xiao J, Yan X, Li B, Liu F. 2023. Vegetation photosynthetic phenology dataset in northern terrestrial ecosystems. Scientific Data, 10: 1-11.