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Published September 9, 2019 | Version v1
Dataset Open

Anatomical wood traits of two tree species in old-growth and selectively logged forest

  • 1. Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
  • 2. University of New England, Australia; University of Aberdeen, UK
  • 3. University of Aberdeen, UK

Contributors

Contact person:

  • 1. Imperial College London

Description

Description:

Anatomical wood traits of Macaranga gigantea from selectively logged forest at SAFE and Vatica dulitensis from old-growth forest in Maliau Basin. Sampled during the BALI project traits campaign

Project: This dataset was collected as part of the following SAFE research project: Biodiversity and land-use impacts on tropical ecosystem function (BALI): Quantifying functional trait distributions across the disturbance gradient

Funding: These data were collected as part of research funded by:

  • NERC (Standard grant, NE/K016253/1)

This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.

Permits: These data were collected under permit from the following authorities:

  • Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2.2(385))

XML metadata: GEMINI compliant metadata for this dataset is available here

Files: This consists of 1 file: Jotan_wood_anatomical_traits.xlsx

Jotan_wood_anatomical_traits.xlsx

This file contains dataset metadata and 1 data tables:

  1. Wood_anatomical_traits (described in worksheet Wood_anatomical_traits)

    Description: Anatomical wood traits of Macaranga gigantea from selectively logged forest at SAFE and Vatica dulitensis from old-growth forest in Maliau Basin. Sampled during the BALI project traits campaign

    Number of fields: 17

    Number of data rows: 12

    Fields:

    • location: Location within the SAFE landscape (Field type: location)
    • forest_type: Forest type: OG: old-growth plots, Maliau and Danum; SL: selectively logged plots at SAFE (Field type: categorical)
    • forestplots_name: Plot name coherent with forestplots database (Field type: id)
    • plot_name_trait_campaign: Plot name used during the BALI trait campaign (Field type: id)
    • sample_code: Sample code referencing: plot-'T'(ree) ID-branch type (Field type: id)
    • branch_type: Binary classification of branch sampled depending on their position in the tree crown. BS: sun branch; BSH: shade branch (Field type: id)
    • sampling_date: Date of sampling (Field type: date)
    • tree_id: Reference for tree tag label (Field type: id)
    • species: Tree species (Field type: taxa)
    • VD: Mean vessel diameter, VD (mm). Vessel diameter is determined as the mean of the maximum and minimum (lumen) diameters because vessels often are not exactly circular, and total area of all vessels in each cross-sectional image. (Field type: numeric trait)
    • Dh: Hydraulically weighted mean diameter, Dh (mm). (Dh) was calculated as (∑ diameter5) / (∑ diameter4), which weights the importance of diameter in estimated hydraulic conductance. (Field type: numeric trait)
    • A: Mean vessel area, A (mm2). Vessel area is determined by the average cross-sectional area of all vessel lumens (excluding vessel walls) in the wedge-shaped transect of the branch wood cross-section. (Field type: numeric trait)
    • F: Vessel lumen fraction, F (unitless). From the vessel areas and transect areas, vessel lumen fraction (F) is calculated as the fraction of transect area filled by vessel lumens. (Field type: numeric trait)
    • N: Vessel number per area/vessel density, N (mm-2). Vessel number per area is calculated as vessel lumen fraction in the cross-section divided by vessel area (A) (N= F/A) (Field type: numeric trait)
    • S: Vessel area to number ratio, S (mm4), the average vessel area to number of vessels per area ratio. (S) is calculated as vessel area (A) divided by vessel number per area (N) (S= A/N) which measures the variation in vessel size composition. (Field type: numeric trait)
    • Kp: Potential (theoretical) hydraulic conductivity, Kp (Kp) is calculated as: (Kp= (πρw/128η) × N × Dh4, where Kp is the potential (xylem area-specific) hydraulic conductivity (in kg·m-1·MPa-1·s-1), ρw is the density of water at 20 ºC (998.2 kg·m-3), and η is the viscosity of water at 20 ºC (1.002 × 10-3 Pa·s)). (Field type: numeric trait)
    • Wood_density: Branch wood density from branch segment without bark (bark removed prior measurement) (Field type: numeric trait)

Date range: 2014-05-01 to 2018-09-01

Latitudinal extent: 4.5000 to 5.0700

Longitudinal extent: 116.7500 to 117.8200

Taxonomic coverage:
All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.

 -  Plantae
 -  -  Tracheophyta
 -  -  -  Magnoliopsida
 -  -  -  -  Malpighiales
 -  -  -  -  -  Euphorbiaceae
 -  -  -  -  -  -  Macaranga
 -  -  -  -  -  -  -  Macaranga gigantea
 -  -  -  -  Malvales
 -  -  -  -  -  Dipterocarpaceae
 -  -  -  -  -  -  Vatica
 -  -  -  -  -  -  -  Vatica dulitensis

Files

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