Socioecological data from smallholder oil palm plantations in Selangor, Peninsular Malaysia, 2022
Cite this dataset as:
Azhar, B.; Wan Zaki, W. M.; Harianja, M.F.; Stone, J.; Barrock, I.; Buchori, D.; Caliman, J-P.; Drewer, J.; Hidayat, P.; Howlett, K.; Siti Zulaikah, A.J.; Jones, J.A.; Luke, S.H.; Naim, M.; Popkin, M.; Reiss-Woolever, V.J.; Turner, E.C. (2023). Socioecological data from smallholder oil palm plantations in Selangor, Peninsular Malaysia, 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/81b02484-a87e-4a49-baba-678654059091
Download/Access
PLEASE NOTE: By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence 
https://doi.org/10.5285/81b02484-a87e-4a49-baba-678654059091
This dataset includes results from social and environmental surveys of 27 oil palm smallholders and farms in Selangor, Malaysia. Environmental data includes: information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, palm herbivory and palm health. Social data includes information (all anonymised) on: plot area, number of palms, sociodemographic data, plantation management practices applied, knowledge and value assigned to wildlife, and yield. Data were collected from March to September 2022.
Publication date: 2023-06-12
View numbers valid from 12 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2022-03-01 to 2022-09-30
Provenance & quality
Environmental and social data were collected in a series of field campaigns, led by researchers from Universiti Putra Malaysia (UPM) and supported by University of Cambridge.
Environmental data collection methods included visual inspection of plots to record cover of different crop types, and using handheld GPS units to record plantation boundaries and size of plantations. At four points distributed across the plantation and separated by 20m, we also made direct measurements of vegetation, palm and soil characteristics. These included field readings of canopy openness using a convex spherical densiometer, direct measures of vegetation height and cover (into categories by eye within a 3m x3m area), and field measures of soil pH and moisture using a Suplong probe. We also scored height, health, % epiphyte cover on the trunk, and level of herbivory by eye on the closest palm to each point. We also measured leaf litter depth.
Social data were collected through face to face interviews with smallholders, at a time convenient to the smallholders. Ethical permission for interviews were gained from the University of Cambridge Department of Psychology ethics board before work took place, no information was withheld from participants and full written consent was obtained in advance.
Data were entered digitally by field teams and returned to the University of Cambridge for quality and error checking, and to ensure a standard format.
Environmental data collection methods included visual inspection of plots to record cover of different crop types, and using handheld GPS units to record plantation boundaries and size of plantations. At four points distributed across the plantation and separated by 20m, we also made direct measurements of vegetation, palm and soil characteristics. These included field readings of canopy openness using a convex spherical densiometer, direct measures of vegetation height and cover (into categories by eye within a 3m x3m area), and field measures of soil pH and moisture using a Suplong probe. We also scored height, health, % epiphyte cover on the trunk, and level of herbivory by eye on the closest palm to each point. We also measured leaf litter depth.
Social data were collected through face to face interviews with smallholders, at a time convenient to the smallholders. Ethical permission for interviews were gained from the University of Cambridge Department of Psychology ethics board before work took place, no information was withheld from participants and full written consent was obtained in advance.
Data were entered digitally by field teams and returned to the University of Cambridge for quality and error checking, and to ensure a standard format.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Azhar, B.; Wan Zaki, W. M.; Harianja, M.F.; Stone, J.; Barrock, I.; Buchori, D.; Caliman, J-P.; Drewer, J.; Hidayat, P.; Howlett, K.; Siti Zulaikah, A.J.; Jones, J.A.; Luke, S.H.; Naim, M.; Popkin, M.; Reiss-Woolever, V.J.; Turner, E.C. (2023). Socioecological data from smallholder oil palm plantations in Selangor, Peninsular Malaysia, 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/81b02484-a87e-4a49-baba-678654059091
Related
Correspondence/contact details
Authors
Azhar, B.
Universiti Putra Malaysia
Wan Zaki, W. M.
Universiti Putra Malaysia
https://orcid.org/0000-0002-9607-6151
Barrock, I.
Wild Asia
Caliman, J-P.
Sinar Mas Agro Resources and Technology Research Institute
Siti Zulaikah, A.J.
Wild Asia
Naim, M.
Sinar Mas Agro Resources and Technology Research Institute
Other contacts
Rights holder
University of Cambridge
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk