799db965-3ce7-4e9b-8590-de6a8624d652 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 UTM zone 21M UTM zone 22M Dung beetle abundance data from a before-and-after El Niño experiment in the Brazilian Amazon 2019-01-09 publication https://catalogue.ceh.ac.uk/id/799db965-3ce7-4e9b-8590-de6a8624d652 10.5285/799db965-3ce7-4e9b-8590-de6a8624d652 doi: França, F.M., Oliveira, V.H., Louzada, J.N.C., Vaz-de-Mello, F.Z., Ferreira, J.N., Berenguer, E., Gardner, T., Lees, A., Barlow, J. (2019). Dung beetle abundance data from a before-and-after El Niño experiment in the Brazilian Amazon. NERC Environmental Information Data Centre 10.5285/799db965-3ce7-4e9b-8590-de6a8624d652 This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region. Dung beetles were collected during the collaborative projects AFIRE (Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems) and ECOFOR (Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests), which are part of the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at https://doi.org/10.5285/799db965-3ce7-4e9b-8590-de6a8624d652 França, F. Embrapa Amazônia Oriental filipeufla@gmail.com https://orcid.org/0000-0003-3827-1917 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 França, F.M. Embrapa Amazônia Oriental filipeufla@gmail.com https://orcid.org/0000-0003-3827-1917 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 Oliveira, V.H. Setor de Ecologia e Conservação, Universidade Federal de Lavras toru.oliveira@gmail.com https://orcid.org/0000-0002-0553-0268 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 Louzada, J.N.C. Setor de Ecologia e Conservação, Universidade Federal de Lavras jlouzada@gmail.com https://orcid.org/0000-0002-1481-3112 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 Vaz-de-Mello, F.Z. Universidade Federal de Mato Grosso vazdemello@gmail.com https://orcid.org/0000-0001-9697-320X 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 Ferreira, J.N. Embrapa Amazônia Oriental joice.ferreira@embrapa.br https://orcid.org/0000-0002-4008-2341 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 Berenguer, E. University of Oxford erikaberenguer@gmail.com https://orcid.org/0000-0001-8157-8792 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 Gardner, T. Stockholm Environment Institute toby.gardner@sei-international.org https://orcid.org/0000-0002-4007-2936 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 Lees, A. Manchester Metropolitan University Alexander.Lees@mmu.ac.uk https://orcid.org/0000-0001-7603-9081 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 Barlow, J. Lancaster University jos.barlow@lancaster.ac.uk https://orcid.org/0000-0003-4992-2594 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 EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher drought fire forest GEMET - Concepts, version 4.1.3 2019-01-28 creation Brazil Pará GeoNames 2006-01-01 creation Dung beetles Amazonia El Niño selective logging Human-modified tropical forest (HMTF) forest disturbance otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © Sistema de informação sobre a Biodiversidade Brasileira otherRestrictions © Natural Environment Research Council otherRestrictions If you reuse this data, you should cite: França, F.M., Oliveira, V.H., Louzada, J.N.C., Vaz-de-Mello, F.Z., Ferreira, J.N., Berenguer, E., Gardner, T., Lees, A., Barlow, J. (2019). Dung beetle abundance data from a before-and-after El Niño experiment in the Brazilian Amazon. NERC Environmental Information Data Centre https://doi.org/10.5285/799db965-3ce7-4e9b-8590-de6a8624d652 textTable 300 English utf8 environment biota climatologyMeteorologyAtmosphere 2010-04-01 2017-04-29 -56.515 -53.485 -5.132 -1.745 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/799db965-3ce7-4e9b-8590-de6a8624d652 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/799db965-3ce7-4e9b-8590-de6a8624d652.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 Between April and June 2010, dung beetles were sampled across all 381 study plots (total of 3429 pitfall traps set across all study plots). Post-El Niño beetle surveys happened in July 2016 and between March and April 2017 within a subset of 36 forest plots (from those 381 previously established) in the Santarém region (333 pitfall traps for each year). These plots were distributed along a gradient of previous forest degradation, including undisturbed forests (n = 10), logged-forests (n = 10), logged-and-burned forests (n = 10) and secondary forests (n = 6). Half of these forest plots were fire-affected during the 2015-16 El Niño, while the other plots suffered only with the drought effects. Forest disturbance classes were based on analysis of canopy disturbance in time series satellite images (1988 to 2010) and previous field assessments of fire scars, and logging/charcoal debris. Dung beetles were sampled using pitfall traps baited with 50 g of dung (80% pig and 20% human) and half filled with a killing solution (5% detergent and 2% salt). Traps were distributed at the corners of a 3-m equilateral triangle, at three sampling points (0, 150 and 300 m) of a 300-m transect; and were left in the field for 48 h before inspection. Beetle surveys in 2016 and 2017 happened following exactly the same methods established in 2010.