This dataset is under embargo and will be made available by 31 December 2026 at the latest Find out more »
Bittencourt, P. et al see all authors
Functional traits of the tallest tropical tree species in Borneo, 2022
https://doi.org/10.5285/6ecfd160-4740-491e-a8b3-8cbb3a4c8701
Cite this dataset as:
Bittencourt, P.; Scheire, A.; Jotan, P.; Lourenço-Junior, J.; Banin, L.; Suis, M.A.F.B.; Burslem, D.F.R.P.; Christoffersen, B.; Coomes, D.; Groenendijk, P.; Jansen, S.; Jucker, T.; Matula, R.; Mencuccini, M.; Oliveira, R.; Plichta, R.; Nilus, R.; Robert, R.; Svátek, M.; Rowland, L. (2026). Functional traits of the tallest tropical tree species in Borneo, 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/6ecfd160-4740-491e-a8b3-8cbb3a4c8701
Download/Access
This dataset is under embargo and will be made available by 31 December 2026 at the latest Find out more »
This dataset comprises 25 traits related to plant hydraulic function and wood anatomy for 38 individual trees of five dipterocarp species from a site in Borneo. Traits were measured at multiple positions along each tree: at the bottom and the top of the trunk, then at 3 positions along a lower, a middle, and an upper branch in the crown of the tree - so 12 measurement points per tree for the traits. The trees that were measured ranged in height from 7.7 to 71 m in height. These data were all collected following standardised methodologies for each trait sampled and they were all collected during one very large field campaign which took place during 2022. Following this anatomy samples and data were processed. The aim of this data set was to test whether tree height alters the water transport system of trees to make them more vulnerable to the impacts of drought.
Publication date: 2026-01-27
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Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation types
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2022-05-01 to 2022-07-31
Provenance & quality
Samples were collected from 38 individual trees of five Dipterocarp species throughout May-July 2022. To measure trait values 1-2m length branches were extracted from each sample location in the tree crowns (upper crown, and when crown depth allowed, also mid-crown and lower-crown). Vertical height and horizontal distance from the main stem were recorded for each excised branch to enable hydraulic path length to be calculated. In addition, wood cores were extracted with increment borers at breast height (1.3m, or just above any buttresses). Immediately after sampling material was sealed in moist bags and transported to laboratories at the Sabah Forest Research Centre (10-30 minutes' walk), where functional traits were measured. The traits measured included leaf and wood structural traits, leaf and wood hydraulic traits and wood anatomy traits. The full list of traits measures and procedures used to measure the traits are laid out in the supporting information. All data were entered into a excel spreadsheet and saved as a .csv file.
Licensing and constraints
This dataset is under embargo and will be made available by 31 December 2026 at the latest Find out more »
This dataset will be available under the terms of the Open Government Licence
Cite this dataset as:
Bittencourt, P.; Scheire, A.; Jotan, P.; Lourenço-Junior, J.; Banin, L.; Suis, M.A.F.B.; Burslem, D.F.R.P.; Christoffersen, B.; Coomes, D.; Groenendijk, P.; Jansen, S.; Jucker, T.; Matula, R.; Mencuccini, M.; Oliveira, R.; Plichta, R.; Nilus, R.; Robert, R.; Svátek, M.; Rowland, L. (2026). Functional traits of the tallest tropical tree species in Borneo, 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/6ecfd160-4740-491e-a8b3-8cbb3a4c8701
Correspondence/contact details
Authors
Bittencourt, P.
Cardiff University
Scheire, A.
University of Exeter
Jotan, P.
Czech University of Life Sciences Prague
Lourenço-Junior, J.
Royal Botanic Gardens, Kew
Banin, L.
UK Centre for Ecology & Hydrology
Suis, M.A.F.B.
Sabah Forestry Department
Burslem, D.F.R.P.
University of Aberdeen
Christoffersen, B.
The University of Texas Rio Grande Valley
Coomes, D.
University of Cambridge
Groenendijk, P.
Universidade Estadual de Campinas (UNICAMP)
Jansen, S.
Universität Ulm
Jucker, T.
University of Bristol
Matula, R.
Czech University of Life Sciences Prague
Mencuccini, M.
Centre de Recerca i Aplicacions Forestals (CREAF)
Oliveira, R.
Universidade Estadual de Campinas (UNICAMP)
Plichta, R.
Mendel University in Brno
Nilus, R.
Sabah Forestry Department
Robert, R.
Sabah Forestry Department
Svátek, M.
Mendel University in Brno
Rowland, L.
University of Exeter
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
University of Exeter
