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Hyperdominance in Amazonian forest carbon cycling

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Journal 28 Apr 2015 United States, Netherlands, Brazil, France, Brazil, France, France, Australia, France, Netherlands, United Kingdom Publisher:Springer Science and Business Media LLCJournal:Nature Communications, volume 6 (eissn: 2041-1723,

Copyright policy )Funded by:UKRI | Niche evolution of South ..., EC | GEM-TRAIT, UKRI | Amazon Integrated Carbon ... +8 projects

Authors: Fauset, S; Johnson, MO; Gloor, E; Baker, TR; Monteagudo M, A; Brienen, RJW; Feldpausch, TR; +91 Authors

doi: 10.1038/ncomms7857

pmid: 25919449

pmc: PMC4423203

handle: 10088/26280 , 10871/18066

Hyperdominance in Amazonian forest carbon cycling

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Abstract

AbstractWhile Amazonian forests are extraordinarily diverse, the abundance of trees is skewed strongly towards relatively few ‘hyperdominant’ species. In addition to their diversity, Amazonian trees are a key component of the global carbon cycle, assimilating and storing more carbon than any other ecosystem on Earth. Here we ask, using a unique data set of 530 forest plots, if the functions of storing and producing woody carbon are concentrated in a small number of tree species, whether the most abundant species also dominate carbon cycling, and whether dominant species are characterized by specific functional traits. We find that dominance of forest function is even more concentrated in a few species than is dominance of tree abundance, with only ≈1% of Amazon tree species responsible for 50% of carbon storage and productivity. Although those species that contribute most to biomass and productivity are often abundant, species maximum size is also influential, while the identity and ranking of dominant species varies by function and by region.

Countries

United States, Netherlands, Brazil, France, Brazil, France, France, Australia, France, Netherlands, United Kingdom

Related Organizations

UNIVERSITE PARIS DESCARTES
France
University of Wisconsin–Oshkosh
United States
State University of Campinas
Brazil
Universidad Estatal Amazónica
Ecuador
University College London
United Kingdom

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Keywords

arbre forestier, Production du bois, [SDV]Life Sciences [q-bio], plant sciences, Carbon Cycling, espèce dominante, earth sciences, Biomasse, Biomass, Forêt tropicale humide, stockage du carbone, tropical forests, Life Sciences, trees, F40 - Ecologie végétale, Wood, Physiologie végétale, P01 - Conservation de la nature et ressources foncières, ecology, Tree, 570, rain-forest, Écologie, productivity, croissance et développement [F62 - Physiologie végétale], forêt amazonienne, experimental drought, Article, Carbon Cycle, Amazonia, allometry, Forest, Croissance, Densité du peuplement, Dominance, Ecosystem, 580, Forest Ecosystem, [ SDV ] Life Sciences [q-bio], biomass, Composition botanique, Analyse de données, species composition, Plant Sciences, Carbon Storage, mortality, Carbon, Longévité, economics spectrum, abondance spécifique, F60 - Physiologie et biochimie végétales, Espèce dominante, ta1181, Cycle du carbone, Espacement, agrovoc: agrovoc:c_7976, agrovoc: agrovoc:c_2362, agrovoc: agrovoc:c_35781, agrovoc: agrovoc:c_4428, agrovoc: agrovoc:c_28194, agrovoc: agrovoc:c_32372, agrovoc: agrovoc:c_926, agrovoc: agrovoc:c_15962, agrovoc: agrovoc:c_15945, agrovoc: agrovoc:c_7272, agrovoc: agrovoc:c_17299, agrovoc: agrovoc:c_3394, agrovoc: agrovoc:c_2467, agrovoc: agrovoc:c_25189

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	242
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%