c2fbd22c-1ce9-4435-b4b0-e333addef346 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 2025-11-13T16:24:32 UK GEMINI 2.3 WGS 84 Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia 2020-02-25 publication https://catalogue.ceh.ac.uk/id/c2fbd22c-1ce9-4435-b4b0-e333addef346 10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346 doi: Eycott, A.E., Turner, E.C., Luke, S.H., Advento, A.D. (2020). Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia. NERC Environmental Information Data Centre 10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346 Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Herbivory was measured 17 times in total (every 3-4 months) between April 2013 and August 2017. 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 data only) were replanted in 2014. Plots were organised in triplets; 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. The data contain damage estimated in three ways: by eye for the whole crown, by eye for the 17th frond, and by image processing for 20 leaflets of the 17th frond. Full details about this dataset can be found at https://doi.org/10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346 Eycott, A. 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 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 University of Cambridge EMAIL NOT PROVIDED owner Environmental risk Indonesia Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) oil palm otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions © Natural Environment Research Council otherRestrictions © University of Cambridge Department of Zoology otherRestrictions If you reuse this data, you should cite: Eycott, A.E., Turner, E.C., Luke, S.H., Advento, A.D. (2020). Palm frond damage from herbivory 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/c2fbd22c-1ce9-4435-b4b0-e333addef346 textTable English utf8 biota environment economy farming 2013-04-01 2017-08-31 100.003 101.662 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/c2fbd22c-1ce9-4435-b4b0-e333addef346 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/c2fbd22c-1ce9-4435-b4b0-e333addef346.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 At each recording session, three palms were selected at random from within experimental plots. Random palm selection was done using the rnd function in excel before visiting the field, as each palm in the experimental plots has a unique identifying tag. In the replanted stands where palms are not tagged, the randomisation was done by counting steps from the corner of the plot, again using the rnd function in excel. First the damage to the crown form herbivory was estimated visually from the ground. Then, counting from the youngest fully-opened frond, the 17th frond in the crown of the palm was cut and caught in a white cloth. Frond 17 represents a middle-aged frond (aged between 8.5 and 9 months) in mature palms and is commonly used by the oil palm industry as a standard to measure herbivory and herbivore load. The damage to the frond (in percent) was estimated visually. Then twenty paired leaflets, spaced evenly along the frond, were cut, placed flat on a white board and photographed (using a Nikon D90). Photography and visual damage estimates were always carried out by the same person, from the same angle (bottom left), to reduce sampling bias. Photographs were pre-processed to remove noise and converted to binary images in Microsoft Paint. The total leaflet area was then measured in Fiji (https://fiji.sc/). A second image was prepared in Microsoft Paint, with all herbivory damage 'filled in', such that the leaflets appeared to be intact. Where leaflet tips were missing, a conservative estimate for the leaflet tip was drawn in, based on the length of neighbouring leaflets. This second image was measured in Fiji in the same way and the percent of the leaflet area consumed by herbivores was calculated. Basic data checks were carried out (checks for impossible values, such as an increase in leaf area after processing or extreme discrepancy between visual estimate and image processing values).