c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-03-01T11:28:07
UK GEMINI
2.3
WGS 84
Vegetation and habitat data for fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017
2020-06-15
publication
2020-06-02
creation
https://catalogue.ceh.ac.uk/id/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
10.5285/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
doi:
Waddell, E.H., Fleiss, S., Bala Ola, B., Bin Sailim, A., Jelling, A., Yeong, K.L., Tangah, J., Benedick, S., King, H., Hughes, M., McClean, C.J., Chapman, D.S., Hill, J.K., Banin, L.F. (2020). Vegetation and habitat data for fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017. NERC Environmental Information Data Centre 10.5285/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
This dataset contains records for vegetation in 49 plots across 14 fragmented forest sites and 4 continuous forest sites in Sabah, Malaysian Borneo. Living vegetation and deadwood were surveyed in two or three 0.28-ha plots in each of the eighteen sites. In addition to vegetation data, the dataset contains topsoil parameters, measurements of forest structure, and metrics of the degree of forest fragmentation in the landscape surrounding the plots. These data were collected in order to conduct studies examining (1) the factors supporting invasion of exotic plant species into fragmented forest areas; and (2) the value of conservation set-asides for carbon storage and associated plant diversity in oil palm plantations. Full details about this dataset can be found at https://doi.org/10.5285/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
Waddell, E.H.
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-2555-6390
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
Fleiss, S.
University of York
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-6298-236X
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
Bala Ola, B.
South East Asia Rainforest Research Partnership
enquiries@ceh.ac.uk
author
Bin Sailim, A.
South East Asia Rainforest Research Partnership
enquiries@ceh.ac.uk
author
Jelling, A.
South East Asia Rainforest Research Partnership
enquiries@ceh.ac.uk
author
Yeong, K.L.
South East Asia Rainforest Research Partnership
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-8193-2130
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
Tangah, J.
Sabah Forestry Department
enquiries@ceh.ac.uk
author
Benedick, S.
Universiti Malaysia Sabah
enquiries@ceh.ac.uk
author
King, H.
Unilever
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-7608-6280
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
Hughes, M.
Royal Botanic Garden Edinburgh
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-2168-0514
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
McClean, C.J.
University of York
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-5457-4355
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
Chapman, D.S.
University of Stirling
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-1836-4112
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
Hill, J.K.
University of York
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-1871-7715
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
Banin, L.F.
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-1168-3914
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
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
owner
University of York
enquiries@ceh.ac.uk
owner
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
Emily Waddell
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
pointOfContact
otherRestrictions
no limitations
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
If you reuse this data, you should cite: Waddell, E.H., Fleiss, S., Bala Ola, B., Bin Sailim, A., Jelling, A., Yeong, K.L., Tangah, J., Benedick, S., King, H., Hughes, M., McClean, C.J., Chapman, D.S., Hill, J.K., Banin, L.F. (2020). Vegetation and habitat data for fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017. NERC Environmental Information Data Centre https://doi.org/10.5285/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
textTable
15
English
utf8
biota
environment
farming
planningCadastre
2017-07-21
2017-10-28
117.095
118.49
4.965
6.339
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
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
Field surveys were conducted in July - October 2017. The 14 fragmented sites were all in Roundtable on Sustainable Palm Oil-certified oil palm plantations; and they varied from isolated forest fragments to sites connected to forest reserves outside the oil palm plantation. The four continuous forest sites were located in Danum Valley and Malua Forest Reserves, and include both primary and logged forest sites. At each site, vegetation was surveyed in 2-3 circular plots spaced 100 m apart along a transect (the smallest fragmented sites had only 2 plots and all other sites had 3). In each plot, living trees and palms, saplings, seedlings, other ground vegetation (herbs, shrubs, climbers, ferns and graminoids), deadwood, and lianas on trees were surveyed in a nested plot design. All living trees, saplings, seedlings and ground vegetation were identified to genus, and to species where possible; and all ground vegetation was identified as either exotic or native to Sabah. Field data were collected in collaboration with experienced local botanists. The data include measurements of forest cover and leaf litter depth, as measures of forest structure which are likely to covary with vegetation. In addition, eight soil parameters were measured from topsoil samples in each plot. The dataset also includes metrics relating to the degree of forest fragmentation in the landscape surrounding the plots, which were calculated using drone (UAV) imagery from an oil palm company.