83a10b11-23ef-4378-a56d-c63cce365275 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 2025-11-13T16:23:37 UK GEMINI 2.3 Plot identifiers Invertebrate pests, natural enemies, pollinators, pest damage and yields associated with different understorey treatments in an agroforestry system, Nottinghamshire, UK, 2020 2021-03-18 publication https://catalogue.ceh.ac.uk/id/83a10b11-23ef-4378-a56d-c63cce365275 10.5285/83a10b11-23ef-4378-a56d-c63cce365275 doi: Staton, T., Walters, R.J., Smith, J., Breeze, T.D., Girling, R.D. (2021). Invertebrate pests, natural enemies, pollinators, pest damage and yields associated with different understorey treatments in an agroforestry system, Nottinghamshire, UK, 2020. NERC Environmental Information Data Centre 10.5285/83a10b11-23ef-4378-a56d-c63cce365275 This resource comprises abundance data for invertebrates, pest damage to apples, and yields from an agroforestry system subject to two different understorey management treatments, comprising an unmown flowering understorey and a mown understorey. The data was collected from an intercropped apple-arable agroforestry site in Screveton, Nottinghamshire, UK, from five experimental blocks, each block split between the two understorey management treatments. The data was collected between April and September 2020. Data was collected using (i) pitfall traps, (ii) sticky traps, (iii) visual searches of apple trees for natural enemies, pests and fruit damage from pests and disease, (iv) flower visitation counts for pollinators, (v) apple fruit yield and quality metrics, and (vi) grain yield samples. The data was collected to compare the effect of understorey management in agroforestry on functional invertebrates and associated ecosystem services. All data was collected by Tom Staton (University of Reading). Three pitfall traps were damaged and are excluded from the dataset, comprising (i) Visit 1, Block 2, Mown treatment, Position 4; (ii) Visit 4, Block 2, Mown treatment, Position 3; and (iii) Visit 4, Block 3, Unmown treatment, Position 2. The research was funded under NERC grant NE/R012229/1 Quantitative and Modelling Skills in Ecology and Evolution (QMEE) CDT Full details about this dataset can be found at https://doi.org/10.5285/83a10b11-23ef-4378-a56d-c63cce365275 Staton, T. University of Reading t.staton@pgr.reading.ac.uk https://orcid.org/0000-0003-0597-0121 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 Staton, T. University of Reading t.staton@pgr.reading.ac.uk https://orcid.org/0000-0003-0597-0121 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 Walters, R.J. Lund University richard.walters@biol.lu.se https://orcid.org/0000-0002-9653-8512 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 Smith, J. MV Agroecological Research Centre josmith@mvarc.eu https://orcid.org/0000-0001-8761-8556 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 Breeze, T.D. University of Reading t.d.breeze@reading.ac.uk https://orcid.org/0000-0002-8929-8354 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 Girling, R.D. University of Reading EMAIL NOT PROVIDED https://orcid.org/0000-0001-8816-8075 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 NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian University of Reading EMAIL NOT PROVIDED owner notPlanned Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Agriculture conservation biological control natural pest control pests pollination silvoarable alley cropping flower strip sustainable agriculture pests invertebrates 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: Staton, T., Walters, R.J., Smith, J., Breeze, T.D., Girling, R.D. (2021). Invertebrate pests, natural enemies, pollinators, pest damage and yields associated with different understorey treatments in an agroforestry system, Nottinghamshire, UK, 2020. NERC Environmental Information Data Centre https://doi.org/10.5285/83a10b11-23ef-4378-a56d-c63cce365275 textTable English utf8 biota 2020-04-01 2020-09-30 -0.984 -0.821 52.924 53.047 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/83a10b11-23ef-4378-a56d-c63cce365275 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/83a10b11-23ef-4378-a56d-c63cce365275.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 Data was collected from five experimental blocks , each containing one apple tree variety. Each block was equally divided into two management treatments, comprising un-mown vegetation to promote flowering (‘flowering understoreys’), and a frequently mown treatment to suppress flowering (‘mown understoreys’). Data was collected using pitfall traps, (ii) sticky traps, (iii) visual searches of apple trees for natural enemies, pests and fruit damage from pests and disease, (iv) flower visitation counts for pollinators, (v) apple fruit yield and quality metrics, and (vi) grain yield samples. Invertebrate specimens captured using pitfall traps and sticky traps were stored in a freezer and identified using an optical microscope. The taxonomic resolution selected for each taxon was that which was sufficient to establish functional group. Data was subject to standard sense checking, including checking values were within a feasible range, all samples collected were represented in the data, and no duplicate samples. Data were entered into Excel spreadsheets and exported as comma separated value files for ingestion into the Environmental Information Data Centre.