Rowland, L. et al

Traits data from trees exposed to a 50% reduction in canopy throughfall for 14 years in Caxiuanã, Brazil, September to October 2016

Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil.
17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation capacity, electron transport capacity, leaf respiration in the dark, stomatal conductance, stem CO2 efflux, leaf mass per area, leaf nitrogen and phosphorus content, branch wood density, leaf water potential, xylem pressure, lumen conductance, percentage loss of conductivity, hydraulic Safety Margin and leaf area to sapwood area ratio) of 176 trees (most common genera) were sampled across two experimental plots: a one-hectare through-fall exclusion plot with a plastic panel structure that excludes 50% of the canopy through-fall and has done since 2002 and a corresponding one-hectare control plot without any drought structure.

This data comes from the Caxiuanã through-fall exclusion (TFE) experiment located in the terra firma forest, on yellow oxisol soils at 15 m above sea level, with a mean annual rainfall between 2,000–2,500 mm and a pronounced dry season between June and November.

Publication date: 2020-10-19

Get the data

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

Format of the data: Comma-separated values (CSV)

You must cite: Rowland, L.; Oliveira, R.S.; Bittencourt, P.R.L.; Giles, A.L.; Coughlin, I.; 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. (2020). Traits data from trees exposed to a 50% reduction in canopy throughfall for 14 years in Caxiuanã, Brazil, September to October 2016. NERC Environmental Information Data Centre.


© University of Exeter


Study area
Temporal extent
2016-09-01    to    2016-10-31

Provenance & quality

To sample the traits, three branches from the same tree were gathered at three specific time periods each day in September and October 2016. Stem CO2 efflux measurements (Rstem) were made in October 2016 using a gas analyser attached in a close loop system to a 75cm2 area of each of our study trees. Growth rates were calculated for each tree using mean stem increment data measured every three months using dendrometers, as presented in Rowland et al., ( Mean growth increment was calculated by averaging three-monthly growth rate data from 2010-2016 for each tree and then log-transforming these data.

Supplemental information

This dataset is a supplement to:

Rowland, L., Oliveira, R.S., Bittencourt, P.R.L., Giles, A.L., Coughlin, I., Costa, P. de B., Domingues, T., Ferreira, L.V., Vasconcelos, S.S., Junior, J.A.S., Oliveira, A.A.R., Costa, A.C.L., Meir, P., & Mencuccini, M. (2020). Plant traits controlling growth change in response to a drier climate. New Phytologist, 229(3), 1363–1374.

Correspondence/contact details

Rowland, L.
University of Exeter


Rowland, L.
University of Exeter
Oliveira, R.S.
University of Campinas
Bittencourt, P.R.L.
University of Exeter
Giles, A.L.
University of Campinas
Coughlin, I.
Australian National University
de Britto Costa, P.
University of Campinas
Domingues, T.
University of Sao Paulo
Ferreira, L.V.
Museu Paraense Emílio Goeldi
Vasconcelos, S.S.
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.
Centre for Research on Ecology and Forestry Applications (CREAF)

Other contacts

NERC EDS Environmental Information Data Centre
NERC Environmental Information Data Centre

Additional metadata

Topic categories
Brazil Caxiuanã National Forest Reserve climate change,  drought,  intra‐specific variation,  light availability,  Phenology plant functional traits,  tree growth,  tropical forests
Environmental Monitoring Facilities
Natural Environment Research Council Award: NE/N014022/1
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Last updated
25 June 2021 18:35