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  Higher functional diversity improves modeling of Amazon forest carbon storage

Riuz, B. F., Darela-Filho, J. P., Fleischer, K., Hofhansl, F., Casagrande Blanco, C., Rammig, A., et al. (2023). Higher functional diversity improves modeling of Amazon forest carbon storage. Ecological Modelling, 481: 110323. doi:10.1016/j.ecolmodel.2023.110323.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-D055-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-347B-E
Genre: Journal Article

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BGC4220.pdf (Publisher version), 4MB
 
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 Creators:
Riuz, Bianca Fazio, Author
Darela-Filho , João Paulo, Author
Fleischer, Katrin1, Author           
Hofhansl, Florian, Author
Casagrande Blanco, Carolina , Author
Rammig, Anja , Author
Ferreira Domingues, Tomas , Author
Montenegro Lapola, David , Author
Affiliations:
1Terrestrial 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: 2023-07
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC4220
DOI: 10.1016/j.ecolmodel.2023.110323
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Title: Ecological Modelling
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 481 Sequence Number: 110323 Start / End Page: - Identifier: ISSN: 0304-3800
CoNE: https://pure.mpg.de/cone/journals/resource/954925511442