Predicting resilience through the lens of competing adjustments to vegetation 
function

Sabot, Manon E. B.; De Kauwe, Martin G.; Pitman, Andy J.; Ellsworth, David S.; Medlyn, Belinda E.; Caldararu, Silvia; Zaehle, Sönke; Crous, Kristine Y.; Gimeno, Teresa E.; Wujeska-Klause, Agnieszka; Mu, Mengyuan; Yang, Jinyan

doi:10.1111/pce.14376

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Predicting resilience through the lens of competing adjustments to vegetation function

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Caldararu, Silvia
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Zaehle, Sönke
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society;

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https://doi.org/10.1111/pce.14376
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Citation

Sabot, M. E. B., De Kauwe, M. G., Pitman, A. J., Ellsworth, D. S., Medlyn, B. E., Caldararu, S., et al. (2022). Predicting resilience through the lens of competing adjustments to vegetation function. Plant, Cell and Environment, 45(9), 2744-2761. doi:10.1111/pce.14376.

Cite as: https://hdl.handle.net/21.11116/0000-000A-9765-A

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