Buchori, D. et al
Socioecological data from smallholder oil palm plantations in Riau, Sumatra, Indonesia, 2021-2022
Cite this dataset as:
Buchori, D.; Hidayat, P.; Caliman, J.; Naim, M.; Azhar, B.; Barrock, I.; Drewer, J.; Harianja, M.F.; Siti Zulaikah, A.J.; Jones, J.A.; Luke, S.H.; Wan Zaki, W.M.; Popkin, M.; Reiss-Woolever, V.J.; Stone, J.; Turner, E.C. (2023). Socioecological data from smallholder oil palm plantations in Riau, Sumatra, Indonesia, 2021-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/b61a12a2-d091-41af-b451-a14de4f4a3c3
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This dataset is available under the terms of the Open Government Licence
https://doi.org/10.5285/b61a12a2-d091-41af-b451-a14de4f4a3c3
This dataset includes results from biodiversity, social and environmental surveys of 46 oil palm smallholders and farms in Riau, Indonesia. Biodiversity data includes: pitfall trap data on arthropod abundance and higher-level order identification, sticky trap data on flying invertebrate abundance (identified to higher-level order), transect data on assassin bugs, Nephila spp. spiders and butterflies (identified to species), counts of insects visiting oil palm inflorescences if any open (identified to Elaeidobius kamerunicus and higher-level orders for other groups) and data on meal worm removal from each plot. Environmental data includes: soil temperature readings recorded over 24 hours, information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, leaf litter depth, horizon depths, 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 November 2021 to June 2022.
Publication date: 2023-07-05
View numbers valid from 05 July 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
2021-11-01 to 2023-06-30
Provenance & quality
Biodiversity, environmental and social data were collected in a series of field campaigns, led by researchers from Institut Pertanian Bogor (IPB) University, supported by researchers and staff from Sinar Mas Agro Resources and Technology Research Institute.
Biodiversity data collection included standard transect walks of 100m to record abundance and activity of butterflies, as well as numbers of Assassin bugs and Nephila spiders within a 5m x 5m box in front of the recorder. At four points along the transect, separated by 20m, we also recorded ground invertebrate abundance, understory flying invertebrate abundance, and predation. Plastic cups, filled with 70% alcohol and a few drops of detergent, covered with a plate to protect from rain, were used as pitfall traps to sample ground invertebrates. Samples were stored in 70% alcohol. Clear plastic sheets smeared with glue were used as sticky traps, suspended 40cm above the ground and facing south, to collect understory invertebrates. Both traps were collected after 24hours. Sticky traps were photographed to allow later recording of invertebrate abundance. Cards with 6 dead meal worms attached and hung on palm trunks next to sample points were used to assess predation, by recording removal over 24 hours. Finally, the plots were thoroughly searched for any open male or female oil palm inflorescences. These were scored for % openness and observed for 10 minutes, during which time the highest number of insects in major groups were recorded. This survey was repeated 24 hours later.
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 the same four sample points used to set pitfalls and sticky traps, 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 dug small soil pits to assess leaf litter depth and then used a standard 10cm deep and 5cm diameter tube to collect soil samples. We also conducted a Visual Evaluation of Soil Structure (VESS) survey to measure depth of soil horizons and associated characteristics, following standard methods.
Social data were collected through a mixture of telephone and face to face interviews with smallholders, at a time convenient to the smallholders. Some telephone interviews were necessary owing to the impacts of COVID. 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.
On return to the lab, collected pitfall trap insects were stored in fresh alcohol and identified to order-level. Soil samples were weighed wet and then dried to a constant weight, allowing water content and soil compaction to be calculated. Sticky trap photos had insects counted and identified to order-level.
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.
Biodiversity data collection included standard transect walks of 100m to record abundance and activity of butterflies, as well as numbers of Assassin bugs and Nephila spiders within a 5m x 5m box in front of the recorder. At four points along the transect, separated by 20m, we also recorded ground invertebrate abundance, understory flying invertebrate abundance, and predation. Plastic cups, filled with 70% alcohol and a few drops of detergent, covered with a plate to protect from rain, were used as pitfall traps to sample ground invertebrates. Samples were stored in 70% alcohol. Clear plastic sheets smeared with glue were used as sticky traps, suspended 40cm above the ground and facing south, to collect understory invertebrates. Both traps were collected after 24hours. Sticky traps were photographed to allow later recording of invertebrate abundance. Cards with 6 dead meal worms attached and hung on palm trunks next to sample points were used to assess predation, by recording removal over 24 hours. Finally, the plots were thoroughly searched for any open male or female oil palm inflorescences. These were scored for % openness and observed for 10 minutes, during which time the highest number of insects in major groups were recorded. This survey was repeated 24 hours later.
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 the same four sample points used to set pitfalls and sticky traps, 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 dug small soil pits to assess leaf litter depth and then used a standard 10cm deep and 5cm diameter tube to collect soil samples. We also conducted a Visual Evaluation of Soil Structure (VESS) survey to measure depth of soil horizons and associated characteristics, following standard methods.
Social data were collected through a mixture of telephone and face to face interviews with smallholders, at a time convenient to the smallholders. Some telephone interviews were necessary owing to the impacts of COVID. 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.
On return to the lab, collected pitfall trap insects were stored in fresh alcohol and identified to order-level. Soil samples were weighed wet and then dried to a constant weight, allowing water content and soil compaction to be calculated. Sticky trap photos had insects counted and identified to order-level.
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:
Buchori, D.; Hidayat, P.; Caliman, J.; Naim, M.; Azhar, B.; Barrock, I.; Drewer, J.; Harianja, M.F.; Siti Zulaikah, A.J.; Jones, J.A.; Luke, S.H.; Wan Zaki, W.M.; Popkin, M.; Reiss-Woolever, V.J.; Stone, J.; Turner, E.C. (2023). Socioecological data from smallholder oil palm plantations in Riau, Sumatra, Indonesia, 2021-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/b61a12a2-d091-41af-b451-a14de4f4a3c3
Related
Correspondence/contact details
Authors
Caliman, J.
Sinar Mas Agro Resources and Technology Research Institute
Naim, M.
Sinar Mas Agro Resources and Technology Research Institute
Azhar, B.
Universiti Putra Malaysia
Barrock, I.
Wild Asia
Siti Zulaikah, A.J.
Wild Asia
Wan Zaki, W.M.
Universiti Putra Malaysia
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