Jing Tang

Jing Tang

Assistant Professor, Tenure Track Assistant Professor

Member of:

ORCID: 0000-0001-7961-8214

Publication year:
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1 - 10 out of 45Page size: 10
  1. 2024
  2. Published

    A new temperature-photoperiod coupled phenology module in LPJ-GUESS model v4.1: Optimizing estimation of terrestrial carbon and water processes

    Chen, S., Fu, Y. H., Li, M., Jia, Z., Cui, Y. & Tang, Jing, 2024, In: Geoscientific Model Development. 17, 7, p. 2509-2523 15 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Accounting for Winter Warming Events in the Ecosystem Model LPJ-GUESS: Evaluation and Outlook

    Pascual, D., Johansson, M., Pongracz, A. & Tang, Jing, 2024, In: Journal of Geophysical Research: Biogeosciences. 129, 3, 13 p., e2023JG007464.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    The Advancement in Spring Vegetation Phenology in the Northern Hemisphere Will Reverse After 2060 Under Future Moderate Warming Scenarios

    Mo, Y., Chen, S., Wu, Z., Tang, Jing & Fu, Y., 2024, In: Earth's Future. 12, 3, 17 p., e2023EF003788.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. 2023
  6. Published

    Global warming is increasing the discrepancy between green (actual) and thermal (potential) seasons of temperate trees

    Fu, Y. H., Geng, X., Chen, S., Wu, H., Hao, F., Zhang, X., Wu, Z., Zhang, J., Tang, Jing, Vitasse, Y., Zohner, C. M., Janssens, I., Stenseth, N. C. & Penuelas, J., 2023, In: Global Change Biology. 29, 5, 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    High-latitude vegetation changes will determine future plant volatile impacts on atmospheric organic aerosols

    Tang, Jing, Zhou, P., Miller, P. A., Schurgers, Guy, Gustafson, A., Makkonen, R., Fu, Y. H. & Rinnan, Riikka, 2023, In: npj Climate and Atmospheric Science. 6, 1, 13 p., 147.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes

    Chen, S., Fu, Y. H., Wu, Z., Hao, F., Hao, Z., Guo, Y., Geng, X., Li, X., Zhang, X., Tang, Jing, Singh, V. P. & Zhang, X., 2023, In: Journal of Hydrology. 616, 13 p., 128817.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Long-term changes of nitrogen leaching and the contributions of terrestrial nutrient sources to lake eutrophication dynamics on the Yangtze Plain of China

    Guan, Qi, Tang, Jing, Feng, L., Olin, S. & Schurgers, Guy, 2023, In: Biogeosciences. 20, 8, p. 1635–1648

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Recent decrease of the impact of tropical temperature on the carbon cycle linked to increased precipitation

    Zhang, Wenmin, Schurgers, Guy, Peñuelas, J., Fensholt, Rasmus, Yang, H., Tang, Jing, Tong, Xiaowei, Ciais, P. & Brandt, Martin Stefan, 2023, In: Nature Communications. 14, 1, 9 p., 965.

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. Published

    Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models

    Lin, S., Hu, Z., Wang, Y., Chen, X., He, B., Song, Z., Sun, S., Wu, C., Zheng, Y., Xia, X., Liu, L., Tang, Jing, Sun, Q., Joos, F. & Yuan, W., 2023, In: Global Biogeochemical Cycles. 37, 4, 15 p., e2023GB007696.

    Research output: Contribution to journal › Journal article › Research › peer-review

  12. Published

    Warming, permafrost thaw and increased nitrogen availability as drivers for plant composition and growth across the Tibetan Plateau

    Yun, Hanbo, Zhu, Q., Tang, Jing, Zhang, W., Chen, D., Ciais, P., Wu, Q. & Elberling, Bo, 2023, In: Soil Biology and Biochemistry. 182, 9 p., 109041.

    Research output: Contribution to journal › Journal article › Research › peer-review

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ID: 136822113