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  Predicting resilience through the lens of competing adjustments to vegetation function

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-9765-A Version Permalink: https://hdl.handle.net/21.11116/0000-000E-3B21-B
Genre: Journal Article

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 Creators:
Sabot, Manon E. B.1, Author           
De Kauwe, Martin G., Author
Pitman, Andy J., Author
Ellsworth, David S., Author
Medlyn, Belinda E., Author
Caldararu, Silvia2, Author           
Zaehle, Sönke2, Author                 
Crous, Kristine Y., Author
Gimeno, Teresa E., Author
Wujeska-Klause, Agnieszka, Author
Mu, Mengyuan, Author
Yang, Jinyan, Author
Affiliations:
1External Organizations, ou_persistent22              
2Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3281104              

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 Dates: 2022-06-102022-09
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC4002
DOI: 10.1111/pce.14376
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Title: Plant, Cell and Environment
  Other : Plant, Cell & Environment
Source Genre: Journal
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Publ. Info: Oxford, England : Blackwell Science
Pages: - Volume / Issue: 45 (9) Sequence Number: - Start / End Page: 2744 - 2761 Identifier: ISSN: 0140-7791
CoNE: https://pure.mpg.de/cone/journals/resource/954925471334