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1. Fu, Y.H.* , Campioli, M., Vitasse, Y., De Boeck, H.J., Van Den Berge, J.,
AbdElgawad, H., Asard, H., Piao, S., Deckmyn, G., Janssens, I.A., 2014 .
Variation in leaf flushing date influences autumnal senescence and next year’s
flushing date in two temperate tree species. Proceedings of the National Academy
of Sciences of the United States of America (PNAS) 111, 7355–7360.
https://doi.org/10.1073/pnas.1321727111
2. Fu, Y.H. , Zhao, H., Piao, S.*, Peaucelle, M., Peng, S., Zhou, G., Ciais, P.,
Huang, M., Menzel, A., Peñuelas, J., 2015 . Declining global warming effects on
the phenology of spring leaf unfolding. Nature 526, 104–107.
https://doi.org/10.1038/nature15402
3. Fu, Y.H. , Piao, S., Zhao, H., Jeong, S.-J., Wang, X., Vitasse, Y., Ciais,
P., Janssens, I.A., 2014 . Unexpected role of winter precipitation in
determining heat requirement for spring vegetation green‐up at northern middle
and high latitudes. Global Change Biology 20, 3743–3755.
https://doi.org/10.1111/gcb.12610
4. Fu, Y.H. , Piao, S. * , Vitasse, Y., Zhao, H., De Boeck, H.J., Liu, Q., Yang,
H., Weber, U., Hänninen, H., Janssens, I.A., 2015 . Increased heat requirement
for leaf flushing in temperate woody species over 1980–2012: effects of
chilling, precipitation and insolation. Global Change Biology 21, 2687–2697.
https://doi.org/10.1111/gcb.12863
5. Fu, Y.H.* , Piao, S., Delpierre, N., Hao, F., Hänninen, H., Liu, Y., Sun, W.,
Janssens, I.A., Campioli, M., 2018 . Larger temperature response of autumn leaf
senescence than spring leaf‐out phenology. Global Change Biology 24, 2159–2168.
https://doi.org/10.1111/gcb.14021
6. Fu, Y.H.* , Piao, S., Zhou, X., Geng, X., Hao, F.*, Vitasse, Y., Janssens,
I.A., 2019 . Short photoperiod reduces the temperature sensitivity of leaf‐out
in saplings of Fagus sylvatica but not in horse chestnut. Global Change Biology
25, 1696–1703. https://doi.org/10.1111/gcb.14599
7. Fu, Y.H.* , Geng, X., Hao, F., Vitasse, Y., Zohner, C.M., Zhang, X., Zhou,
X., Yin, G., Peñuelas, J., Piao, S., 2019 . Shortened temperature‐relevant
period of spring leaf‐out in temperate‐zone trees. Global Change Biology 25,
4282–4290. https://doi.org/10.1111/gcb.14782
8. Fu, Y.H.* , Zhang, X., Piao, S., Hao, F., Geng, X., Vitasse, Y., Zohner, C.,
Peñuelas, J., Janssens, I.A., 2019 . Daylength helps temperate deciduous trees
to leaf‐out at the optimal time. Global Change Biology 25, 2410–2418.
https://doi.org/10.1111/gcb.14633
9. Geng, X., Fu, Y.H.* , Hao, F., Zhou, X., Zhang, X., Yin, G., Vitasse, Y.,
Piao, S., Niu, K., De Boeck, H.J., 2020 . Climate warming increases spring
phenological differences among temperate trees. Global Change Biology 26,
5979–5987. https://doi.org/10.1111/gcb.15301
10. Wu, Z., Chen, S., De Boeck, H.J., Stenseth, N.C., Tang, J., Vitasse, Y.,
Wang, S., Zohner, C., Fu, Y.H.* , 2021 . Atmospheric brightening counteracts
warming‐induced delays in autumn phenology of temperate trees in Europe. Global
Ecology and Biogeography 30, 2477–2487. https://doi.org/10.1111/geb.13404
11. Fu, Y.H.* , Li, Xinxi, Chen, S., Wu, Z., Su, J., Li, Xing, Li, S., Zhang,
J., Tang, J., Xiao, J., 2022 . Soil moisture regulates warming responses of
autumn photosynthetic transition dates in subtropical forests. Global Change
Biology 28, 4935–4946. https://doi.org/10.1111/gcb.16227
12. Geng, X., Fu, Y.H.* , Piao, S., Hao, F., De Boeck, H.J., Zhang, X., Chen,
S., Guo, Y., Prevéy, J.S., Vitasse, Y., 2022 . Higher temperature sensitivity of
flowering than leaf‐out alters the time between phenophases across temperate
tree species. Global Ecology and Biogeography 31, 901–911.
https://doi.org/10.1111/geb.13463
13. Chen, S., Fu, Y.H.* , Wu, Z., Hao, F., Hao, Z., Guo, Y., Geng, X., Li, X.,
Zhang, X.*, Tang, J., 2023 . Informing the SWAT model with remote sensing
detected vegetation phenology for improved modeling of ecohydrological
processes. Journal of Hydrology 616, 128817.
https://doi.org/10.1016/j.jhydrol.2022.128817
14. Fu, Y.H.* , Geng, X., Chen, S., Wu, H., Hao, F., Zhang, X., Wu, Z., Zhang,
J., Tang, J., Vitasse, Y., 2023 . Global warming is increasing the discrepancy
between green (actual) and thermal (potential) seasons of temperate trees.
Global Change Biology 29, 1377–1389. https://doi.org/10.1111/gcb.16545
15. Guo, Y., Xiao, Y., Hao, F., Zhang, X., Chen, J., de Beurs, K., He, Y., Fu,
Y.H.* , 2023 . Comparison of different machine learning algorithms for
predicting maize grain yield using UAV-based hyperspectral images. International
Journal of Applied Earth Observation and Geoinformation 124, 103528.
https://doi.org/10.1016/j.jag.2023.103528
16. Wu, Z., Fu, Y.H.* , Crowther, T.W., Wang, S., Gong, Y., Zhang, J., Zhao,
Y.-P., Janssens, I., Penuelas, J., Zohner, C.M., 2023 . Poleward shifts in the
maximum of spring phenological responsiveness of Ginkgo biloba to temperature in
China. New Phytologist 240, 1421–1432
17. Xiao, Y., Chen, J., Xu, Y., Guo, S., Nie, X., Guo, Y., Li, X., Hao, F., Fu,
Y.H.* , 2023 . Monitoring of chlorophyll-a and suspended sediment concentrations
in optically complex inland rivers using multisource remote sensing
measurements. Ecological Indicators 155, 111041.
https://doi.org/10.1016/j.ecolind.2023.111041
18. Zohner, C.M., Mirzagholi, L., Renner, S.S., Mo, L., Rebindaine, D., Bucher,
R., Palouš, D., Vitasse, Y., Fu, Y.H. , Stocker, B.D., 2023 . Effect of climate
warming on the timing of autumn leaf senescence reverses after the summer
solstice. Science 381, eadf5098. https://doi.org/10.1126/science.adf5098
19. Chen, S., Fu, Y.H.* , Li, M., Jia, Z., Cui, Y., Tang, J.*, 2024 . A new
temperature-photoperiod coupled phenology module in LPJ-GUESS model v4.1:
optimizing estimation of terrestrial carbon and water processes. Geoscientific
Model Development 17, 2509–2523 https://doi.org/10.5194/gmd-17-2509-2024
20. Mo, Y., Chen, S., Wu, Z., Tang, J., Fu, Y.H.* , 2024 . The advancement in
spring vegetation phenology in the Northern Hemisphere will reverse after 2060
under future moderate warming scenarios. Earth’s Future 12, e2023EF003788.
https://doi.org/10.1029/2023EF003788
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