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Functional composition of the Amazonian tree flora and forests

Abstract:
Plants cope with the environment by displaying large phenotypic variation. Two spectra of global plant form and function have been identified: a size spectrum from small to tall species with increasing stem tissue density, leaf size, and seed mass; a leaf economics spectrum reflecting slow to fast returns on investments in leaf nutrients and carbon. When species assemble to communities it is assumed that these spectra are filtered by the environment to produce community level functional composition. It is unknown what are the main drivers for community functional composition in a large area such as Amazonia. We use 13 functional traits, including wood density, seed mass, leaf characteristics, breeding system, nectar production, fruit type, and root characteristics of 812 tree genera (5211 species), and find that they describe two main axes found at the global scale. At community level, the first axis captures not only the ‘fast-slow spectrum’, but also most size-related traits. Climate and disturbance explain a minor part of this variance compared to soil fertility. Forests on poor soils differ largely in terms of trait values from those on rich soils. Trait composition and soil fertility exert a strong influence on forest functioning: biomass and relative biomass production.
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-8738-2659
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Institution:
University of Oxford
Role:
Author


Publisher:
Nature Research
Journal:
Communications Biology More from this journal
Volume:
8
Issue:
1
Article number:
355
Publication date:
2025-03-03
Acceptance date:
2025-02-18
DOI:
EISSN:
2399-3642
ISSN:
2399-3642


Language:
English
Pubs id:
2094943
Local pid:
pubs:2094943
Source identifiers:
2733023
Deposit date:
2025-03-04
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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