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Functional composition of the Amazonian tree flora and forests

ter Steege, Hans ; Poorter, Lourens; Aguirre-Gutiérrez, Jesús; Fortunel, Claire; Magnusson, William E.; Phillips, Oliver L.; Pos, Edwin; Luize, Bruno Garcia; Baraloto, Chris; Guevara, Juan Ernesto; Endara, María-José; Baker, Tim R.; Umaña, Maria Natalia; van der Sande, Masha; Pombo, Maihyra Marina; McGlone, Matt; Draper, Freddie C.; do Amaral, Iêda Leão; Coelho, Luiz de Souza; ... mehr

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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000180708
Veröffentlicht am 01.04.2025
Originalveröffentlichung
DOI: 10.1038/s42003-025-07768-8
Scopus
Zitationen: 9
Web of Science
Zitationen: 9
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2399-3642
KITopen-ID: 1000180708
Erschienen in Communications Biology
Verlag Nature Research
Band 8
Heft 1
Seiten 355
Vorab online veröffentlicht am 03.03.2025
Nachgewiesen in OpenAlex
Dimensions
Web of Science
Scopus
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