Articles | Volume 17, issue 4
https://doi.org/10.5194/esd-17-987-2026
https://doi.org/10.5194/esd-17-987-2026
Research article
 | 
13 Jul 2026
Research article |  | 13 Jul 2026

Amplification of ENSO-driven vegetation variability at decadal and longer timescales

Nora L. S. Fahrenbach and Robert C. J. Wills

Related authors

Impacts of land-use and land-cover change on blue–green water partitioning
Simon P. Heselschwerdt, Abhinav Dengri, Nora L. S. Fahrenbach, and Peter Greve
EGUsphere, https://doi.org/10.5194/egusphere-2026-513,https://doi.org/10.5194/egusphere-2026-513, 2026
Short summary
Mechanistic insights into tropical circulation and hydroclimate responses to future forest cover change
Nora L. S. Fahrenbach, Robert C. J. Wills, and Steven J. De Hertog
Weather Clim. Dynam., 6, 1461–1477, https://doi.org/10.5194/wcd-6-1461-2025,https://doi.org/10.5194/wcd-6-1461-2025, 2025
Short summary
Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming
Kalle Nordling, Nora L. S. Fahrenbach, and Bjørn H. Samset
Atmos. Chem. Phys., 25, 1659–1684, https://doi.org/10.5194/acp-25-1659-2025,https://doi.org/10.5194/acp-25-1659-2025, 2025
Short summary

Cited articles

Akinsanola, A. A., Wenhaji, C. N., Barimalala, R., Monerie, P. a., Dixon, R. D., Tamoffo, A. T., Adeniyi, M. O., Ongoma, V., Diallo, I., Gudoshava, M., Wainwright, C. M., James, R., Silverio, K. C., Faye, A., Nangombe, S. S., Pokam, M. W., Vondou, D. A., Hart, N. C. G., Pinto, I., Kilavi, M., Hagos, S., Rajagopal, E. N., Kolli, R. K., and Joseph, S.: Modeling of precipitation over Africa: Progress, challenges, and prospects, Adv. Atmos. Sci., 43, 59–86, https://doi.org/10.1007/s00376-024-4187-6, 2026. a
Alessandri, A. and Navarra, A.: On the coupling between vegetation and rainfall inter-annual anomalies: Possible contributions to seasonal rainfall predictability over land areas, Geophys. Res. Lett., 35, https://doi.org/10.1029/2007GL032415, 2008. a, b
Alessandri, A., Catalano, F., De Felice, M., Van den Hurk, B., Doblas Reyes, F., Boussetta, S., Balsamo, G., and Miller, P. A.: Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth, Clim. Dynam., 49, 1215–1237, https://doi.org/10.1007/s00382-016-3372-4, 2017. a
Baron, R. M. and Kenny, D. A.: The moderator mediator variable distinction in social psychological-research – Conceptual, strategic, and statistical considerations, J. Pers. Soc. Psychol., 51, 1173–1182, https://doi.org/10.1037/0022-3514.51.6.1173, 1986. a
Bellucci, A., Haarsma, R., Bellouin, N., Booth, B., Cagnazzo, C., van den Hurk, B., Keenlyside, N., Koenigk, T., Massonnet, F., Materia, S., and Weiss, M.: Advancements in decadal climate predictability: The role of nonoceanic drivers, Rev. Geophys., 53, 165–202, https://doi.org/10.1002/2014RG000473, 2015. a
Download
Short summary
The El Niño-Southern Oscillation (ENSO) drives short-term global plant changes, but its influence on decadal changes is not fully known. Using global climate models, we found that plants show pronounced ENSO-driven changes on decadal and longer timescales. Slow plant responses are influenced by soil water content and plant dynamics but only have a weak effect on the plant’s net carbon uptake. Our work shows that vegetation memory could be an important source of decadal climate predictability.
Share
Altmetrics
Final-revised paper
Preprint