b61a12a2-d091-41af-b451-a14de4f4a3c3 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 2025-11-13T16:22:33 UK GEMINI 2.3 WGS 84 Socioecological data from smallholder oil palm plantations in Riau, Sumatra, Indonesia, 2021-2022 2023-07-05 publication https://catalogue.ceh.ac.uk/id/b61a12a2-d091-41af-b451-a14de4f4a3c3 10.5285/b61a12a2-d091-41af-b451-a14de4f4a3c3 doi: 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 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. Full details about this dataset can be found at https://doi.org/10.5285/b61a12a2-d091-41af-b451-a14de4f4a3c3 Buchori, D. IPB University damibuchori@gmail.com https://orcid.org/0000-0002-2843-0737 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 Hidayat, P. IPB University phidayat@apps.ipb.ac.id https://orcid.org/0000-0001-9507-6275 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 Caliman, J. Sinar Mas Agro Resources and Technology Research Institute caliman@indo.net.id author Naim, M. Sinar Mas Agro Resources and Technology Research Institute naim.smartri@gmail.com author Azhar, B. Universiti Putra Malaysia b_azhar@upm.edu.my author Barrock, I. Wild Asia isaac@wildasia.org author Drewer, J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-6263-6341 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 Harianja, M.F. University of Cambridge mfh46@cam.ac.uk https://orcid.org/0000-0002-9607-6151 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 Siti Zulaikah, A.J. Wild Asia zulaikah@wildasia.org author Jones, J.A. University of Oxford joshua.aaron.jones1@gmail.com https://orcid.org/0000-0002-7331-7485 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 Luke, S.H. Nottingham University sarah.luke@nottingham.ac.uk https://orcid.org/0000-0002-8335-5960 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 Wan Zaki, W.M. Universiti Putra Malaysia wanzakiwm@gmail.com author Popkin, M. University of Cambridge mp844@cam.ac.uk https://orcid.org/0000-0001-9508-171X 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 Reiss-Woolever, V.J. University of Cambridge vjr30@cam.ac.uk https://orcid.org/0000-0002-6905-4387 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 Stone, J. University of Cambridge js2453@cam.ac.uk https://orcid.org/0000-0003-2151-4353 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 Turner, E.C. University of Cambridge ect23@cam.ac.uk https://orcid.org/0000-0003-2715-2234 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 Turner, E.C. University of Cambridge ect23@cam.ac.uk https://orcid.org/0000-0003-2715-2234 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 pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Cambridge ect23@cam.ac.uk owner soil vegetation crop production GEMET - Concepts, version 4.1.3 2019-01-28 creation Riau oil palm smallholder social 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: 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 textTable English utf8 farming 2021-11-01 2023-06-30 99.272 104.238 -1.614 2.669 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/b61a12a2-d091-41af-b451-a14de4f4a3c3 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/b61a12a2-d091-41af-b451-a14de4f4a3c3.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 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.