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Rowland, L. et al

Traits data from juvenile trees exposed to a 50% reduction in canopy throughfall at the Caxiuan drought experiment, Brazil, 2017

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This dataset is available under the terms of the Open Government Licence

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https://doi.org/10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85
A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall to the soil and was conducted over a 1ha area, alongside the experiment there is a control (non- drought plot) of a corresponding size.

The samples were collected in 2017, fifteen years after the start of the experiment on trees with a diameter at breast height (1.3m) of 1-10cm. The purpose of the dataset was to assess if traits relating to plant metabolism (photosynthesis and respiration) and plant hydraulic processes had been significantly altered in trees growing under drought conditions.
Publication date: 2023-01-10
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 / Pseudo-Mercator

Temporal information

Temporal extent
2017-09-01    to    2017-10-31

Provenance & quality

The data was from August to September (dry season) in 2017. In total twenty species from nine genera were sampled, with replication at genera level on the drought and control plot. For each individual, we collected two branches from the top of the crown, representing the point maximally exposed to light and the 17 traits were measured off these two branches. The quality control processes were trait specific and the related papers detail how this was done.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Rowland, L.; Oliveira, R.S.; Bittencourt, P.R.L.; Giles, A.L.; de Britto Costa, P.; Domingues, T.; Ferreira, L.V.; Vasconcelos, S.S.; Junior, J.A.S.; Oliveira, A.A.R.; da Costa, A.C.L.; Meir, P.; Mencuccini, M.; Coughlin, S.I.; Miatto, R.C. (2023). Traits data from juvenile trees exposed to a 50% reduction in canopy throughfall at the Caxiuan drought experiment, Brazil, 2017. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

Supplemental information

Bartholomew et al. Small tropical forest trees have a greater capacity to adjust carbon metabolism to long-term drought than large canopy trees. Plant Cell and Environment 43(10) 2380-2393
Giles et al (2022) Small understorey trees have greater capacity than canopy trees to adjust hydraulic traits following prolonged experimental drought in a tropical forest. Tree Physiology 42 (3) 537-556

Correspondence/contact details

Rowland, L.
University of Exeter
 l.rowland@exeter.ac.uk

Authors

Rowland, L.
University of Exeter
Oliveira, R.S.
University of Campinas
Bittencourt, P.R.L.
University of Exeter
Giles, A.L.
University of Campinas
de Britto Costa, P.
University of Campinas
Domingues, T.
University of São Paulo
Ferreira, L.V.
Museu Paraense Emílio Goeldi
Vasconcelos, S.S.
EMBRAPA
Junior, J.A.S.
Federal University of Para
Oliveira, A.A.R.
Museu Paraense Emílio Goeldi
da Costa, A.C.L.
Federal University of Para
Meir, P.
Australian National University
Mencuccini, M.
CREAF
Coughlin, S.I.
Australian National University
Miatto, R.C.
University of São Paulo

Other contacts

Rights holder
University of Exeter
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
biota
Keywords
drought , leaf , photosynthesis , Plant hydraulics , respiration , Through-fall exclusion experiment , tropical forest
Funding
Natural Environment Research Council Award: NE/N014022/1
Last updated
21 March 2025 13:21