441565b3-0a7d-4d3c-a7a8-7d7b487c1462
English
ISO/IEC 8859-1 (also known as Latin 1)
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NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
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The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
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2024-03-04T16:37:52
UK GEMINI
2.3
WGS 84
Traits data from trees exposed to a 50% reduction in canopy throughfall for 14 years in Caxiuanã, Brazil, September to October 2016
2020-10-19
publication
2020-10-07
creation
https://catalogue.ceh.ac.uk/id/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
doi:
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 10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
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. Full details about this dataset can be found at https://doi.org/10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462
Rowland, L.
University of Exeter
enquiries@ceh.ac.uk
pointOfContact
Rowland, L.
University of Exeter
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-0774-3216
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
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author
Oliveira, R.S.
University of Campinas
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-6392-2526
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Bittencourt, P.R.L.
University of Exeter
enquiries@ceh.ac.uk
author
Giles, A.L.
University of Campinas
enquiries@ceh.ac.uk
author
Coughlin, I.
Australian National University
enquiries@ceh.ac.uk
author
de Britto Costa, P.
University of Campinas
enquiries@ceh.ac.uk
author
Domingues, T.
University of Sao Paulo
enquiries@ceh.ac.uk
author
Ferreira, L.V.
Museu Paraense Emílio Goeldi
enquiries@ceh.ac.uk
author
Vasconcelos, S.S.
EMBRAPA
enquiries@ceh.ac.uk
author
Junior, J.A.S.
Federal University of Para
enquiries@ceh.ac.uk
author
Oliveira, A.A.R.
Museu Paraense Emílio Goeldi
enquiries@ceh.ac.uk
author
da Costa, A.C.L.
Federal University of Para
enquiries@ceh.ac.uk
author
Meir, P.
Australian National University
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-2362-0398
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Mencuccini, M.
Centre for Research on Ecology and Forestry Applications (CREAF)
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-0840-1477
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
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NERC EDS Environmental Information Data Centre
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NERC Environmental Information Data Centre
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no limitations
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This resource is available under the terms of the Open Government Licence
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© University of Exeter
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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
textTable
English
utf8
biota
2016-09-01
2016-10-31
-62.403
-41.133
-12.039
7.188
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
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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
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dataset
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
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.