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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.
  9. Fang J, Shugart HH, Wang L, Lutz JA, Yan X, Liu F. 2024. Optimal representation of spring phenology on photosynthetic productivity across the northern hemisphere forests, Agricultural and Forest Meteorology, 350: 1-10.