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 2,000â2,500 mm and a pronounced dry season between June and November. Full details about this dataset can be found at https://doi.org/10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
dataset
https://data-package.ceh.ac.uk/data/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
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https://data-package.ceh.ac.uk/sd/441565b3-0a7d-4d3c-a7a8-7d7b487c1462.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
doi:
eng
biota
Environmental Monitoring Facilities
publication
2008-06-01
creation
2006-01-01
plant functional traits
drought
light availability
tropical forests
climate change
intraâspecific variation
tree growth
-62.403
-41.133
7.188
-12.039
2016-09-01
2016-10-31
publication
2020-10-19
creation
2020-10-07
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., (https://doi.org/10.1038/nature15539). Mean growth increment was calculated by averaging three-monthly growth rate data from 2010-2016 for each tree and then log-transforming these data.
publication
2010-12-08
Comma-separated values (CSV)
© University of Exeter
If you reuse this data, you should 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 https://doi.org/10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
University of Exeter
pointOfContact
University of Exeter
author
University of Campinas
author
University of Exeter
author
University of Campinas
author
Australian National University
author
University of Campinas
patricia.britto.costa@gmail.com
author
University of Sao Paulo
author
Museu Paraense EmÃlio Goeldi
author
EMBRAPA
author
Federal University of Para
author
Museu Paraense EmÃlio Goeldi
author
Federal University of Para
author
Australian National University
author
Centre for Research on Ecology and Forestry Applications (CREAF)
author
Environmental Information Data Centre
custodian
NERC Environmental Information Data Centre
publisher
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2021-02-24T17:52:27