592051e6-016f-49c6-9ef9-799a0f842100 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 2025-11-13T16:23:34 UK GEMINI 2.3 WGS 84 Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia 2019-12-17 publication https://catalogue.ceh.ac.uk/id/592051e6-016f-49c6-9ef9-799a0f842100 10.5285/592051e6-016f-49c6-9ef9-799a0f842100 doi: Eycott, A.E., Turner, E.C., Luke, S.H., Advento, A.D. (2019). Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia. NERC Environmental Information Data Centre 10.5285/592051e6-016f-49c6-9ef9-799a0f842100 Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: reduced vegetation cover, normal vegetation management and enhanced vegetation cover. There were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought. The project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1. Full details about this dataset can be found at https://doi.org/10.5285/592051e6-016f-49c6-9ef9-799a0f842100 Turner, E.C. University of Cambridge ect23@cam.ac.uk pointOfContact Eycott, A.E. Nord University amy.eycott@nord.no https://orcid.org/0000-0002-8609-1091 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 Luke, S.H. University of Cambridge shl47@cam.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 Advento, A.D. SMART Research Institute adadvento@gmail.com author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher Elaeis guineensis Wikidata 2012-10-29 creation Environmental survey oil palm otherRestrictions no limitations otherRestrictions © Natural Environment Research Council otherRestrictions © University of Cambridge Department of Zoology otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Eycott, A.E., Turner, E.C., Luke, S.H., Advento, A.D. (2019). Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia. NERC Environmental Information Data Centre https://doi.org/10.5285/592051e6-016f-49c6-9ef9-799a0f842100 textTable English utf8 environment 2013-04-01 2017-08-01 100.003 101.662 0.516 1.812 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/592051e6-016f-49c6-9ef9-799a0f842100 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/592051e6-016f-49c6-9ef9-799a0f842100.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 Decomposition was measured seven times from 2013 to 2017 (start point of collection period: February 2013, February 2014, July 2016, October 2016, February 2017 and May 2017). Samples were weighed using the same balance each time, at the SMARTRI Libo research station, near Pekanbaru, Indonesia and the samples remain stored there at the time of data submission. Basic data checks were carried out (checks for impossible values, such as sample collection dates occurring before sample deposit dates). We have error-checked 50% of the 2016 to 2017 data entry against the original field sheets, finding an acceptable error rate of <1% and correcting errors when we encountered them. All changes were recorded and that information remains with the dataset.