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Research Article

A test of the fast–slow plant economy hypothesis in a subtropical rain forest

ORCID Icon, , , ORCID Icon, ORCID Icon & ORCID Icon
Pages 267-277 | Received 30 Jul 2020, Accepted 03 Feb 2022, Published online: 24 Feb 2022
 

ABSTRACT

Background

The fast–slow plant economy hypothesis predicts strong co-variation in key resource-use traits due to the trade-off between growth and survival of species. Accordingly, it is expected that trait variation may be reduced to a single dimension along a growth-survival gradient. However, some studies warn against such reductionism and promote investigating how a multi-dimensional trait space can be interpreted in a growth-survival trade-off context.

Aim

To quantify the dimensionality of the trait variation of trees and tree-like species to test the fast–slow plant economy hypothesis in a subtropical rain forest.

Methods

We conducted phylogenetic Principal Components Analyses and correlation test on traits describing carbon and water economy in the leaves, stem, and seeds to evaluate the dimensionality of trait space and covariation among traits.

Results

We found five axes explaining 71% of trait variation. The first and second axes described carbon capture and allocation. Water use economy was related to carbon capture and was also represented on the third axis. Stomata traits were related to the fourth axis and plant potential height to the fourth and fifth axes.

Conclusion

The high dimensionality we found suggests that ecological strategies to water and carbon use are diverse in (sub)tropical montane forest species. Therefore, contrary to the expectation, these plants could use different ecological strategies to achieve a similar fitness in the growth–survival gradient.

Acknowledgements

We thank Gabriel Nakamura, Aline Richter, and members of Laboratório de Ecologia Funcional e Filogenética (LEFF-UFRGS) for discussions in early version of the manuscript. Also, to Laszlo Nagy and the anonymous referees of the manuscript for the important comments and constructive criticism, which contributed to improving the text.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed here.

Additional information

Funding

This study was financed in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES [Finance code - 001; Finance Code 001], awarded to AVR and FFP. The IFFSC project was funded by Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (FAPESC)[grant 2016TR2524]. ACV was supported by CNPq (research grant 312075/2013-8). AE-M was funded by the European Research Council (ERC) [grants TreeMort 758873 and T‐FORCES 291585] , the NERC project ‘TREMOR’ [NE/N004655/1] and MEMBRA [NE/V021346/1]. FB was supported by CNPq (research grant [121397/2016-5). ALG thanks to CNPq for the productivity grant [311303/2020-0];CNPQ [121397/2016-5,311303/2020-0,312075/2013-8];H2020 European Research Council [TreeMort 758873,T‐FORCES 291585];Natural Environment Research Council [project “TREMOR” (NE/N004655/1)];

Notes on contributors

Arthur V. Rodrigues

Arthur V. Rodrigues, a Ph.D. student in ecology, is interested in the quantifying the impact of evolutionary history and functional traits on species distribution and biodiversity patterns, from local to biogeographic scale.

Fábio F. Pastório

Fábio F. Pastório is a biologist interested in species richness patterns, vegetation classification, legislation and classification of subtropical secondary forests.

Fábio L. V. Bones

Fábio L. V. Bones is reading for a master’s degree.

Adriane Esquivel-Muelbert

Adriane Esquivel-Muelbert is an ecologist studying the impacts of global change on forests, with particular interest in the tropical region.

Alexander C. Vibrans

Alexander C. Vibrans is a forester, who works on large scale forest inventory and monitoring, forest ecology. secondary forests and remote sensing.

André L. de Gasper

André L. de Gasper is a botanist and plant ecologist research that investigates species taxonomic delimitation, as well as diversity patterns.

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