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Tropical forest seedling census data from Danum Valley, Sabah, Malaysia, 2019-2021

[This dataset is embargoed until September 1, 2023]. This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia.

These data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1).

Full details about this dataset can be found at https://doi.org/10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42

Default

Identification info

Metadata Language
English (en)
Character set
utf8
Dataset Reference Date ()
2022-10-06
Identifier
https://catalogue.ceh.ac.uk/id/c1813d0d-193f-4f23-82c6-333d5d099b42
Identifier
doi: / 10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42
Other citation details
Burslem, D.F.R.P., Banin, L.F., Bartholomew, D.C., Bin Suis, M.A.F., Bittencourt, P.R.L., Chapman, D., Dent, D.H., Hayward, R.M., O’Brien, M.J., Rowland, L.M. (2022). Tropical forest seedling census data from Danum Valley, Sabah, Malaysia, 2019-2021. NERC EDS Environmental Information Data Centre 10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42
  University of Aberdeen - Burslem, D.F.R.P.
  UK Centre for Ecology & Hydrology - Banin, L.F.
  University of Exeter - Bartholomew, D.C.
  Sabah Forestry Department - Bin Suis, M.A.F.
  University of Exeter - Bittencourt, P.R.L.
  Stirling University - Chapman, D.
  Stirling University - Dent, D.H.
  Stirling University - Hayward, R.M.
  Universidad Rey Juan Carlos - O’Brien, M.J.
  University of Exeter - Rowland, L.M.
  University of Aberdeen - Burslem, D.F.R.P.
  NERC EDS Environmental Information Data Centre
  NERC EDS Environmental Information Data Centre
  University of Aberdeen
GEMET - INSPIRE themes, version 1.0 ()
  • Agricultural and Aquaculture Facilities
Keywords
  • biodiversity
  • dipterocarp
  • demography
  • logging
  • global change
  • Malaysia
  • mast fruiting
  • plant functional trait
  • seedling
  • Sabah
  • Southeast Asia
  • tropical forest
Limitations on Public Access
otherRestrictions
Other constraints
no limitations
Use constraints
otherRestrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions
Other constraints
If you reuse this data, you should cite: Burslem, D.F.R.P., Banin, L.F., Bartholomew, D.C., Bin Suis, M.A.F., Bittencourt, P.R.L., Chapman, D., Dent, D.H., Hayward, R.M., O’Brien, M.J., Rowland, L.M. (2022). Tropical forest seedling census data from Danum Valley, Sabah, Malaysia, 2019-2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42
Spatial representation type
textTable
Topic category
  • Biota
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S
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W


Begin date
2019-01-01
End date
2021-12-31
 
Code
WGS 84

Distribution Information

Data format
  • Comma-separated values (CSV) ()

 
Quality Scope
dataset
Other
dataset

Report

Dataset Reference Date ()
2010-12-08
Statement
Seedling count data were collected on plots of size 1 m2 established in primary unlogged forest in the Danum Valley Conservation Area and logged forest in the Ulu Segama Forest Reserve in September to October 2019 during a mast fruiting event. These plots were recensused in November-December 2019, January-May 2020 and February-March 2021. Taxonomic identifications were conducted by comparison with a seedling reference collection and local knowledge.

Metadata

File identifier
c1813d0d-193f-4f23-82c6-333d5d099b42 XML
Metadata Language
English (en)
Character set
ISO/IEC 8859-1 (also known as Latin 1)
Resource type
dataset
Hierarchy level name
dataset
Metadata Date
2022-10-14T13:14:37
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
 
 

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