62774180-ae72-4873-9482-e8be3935f533 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 2026-03-02T09:49:40 UK GEMINI 2.3 WGS 84 Mammal detection data for the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF] 2017-09-18 publication 2015-05-08 creation https://catalogue.ceh.ac.uk/id/62774180-ae72-4873-9482-e8be3935f533 10.5285/62774180-ae72-4873-9482-e8be3935f533 doi: Deere, N.J., Guillera-Arroita, G., Baking, E.L., Bernard, H., Pfeifer, M., Reynolds, G., Wearn, O.R., Davies, Z.G., Struebig, M.J. (2017). Mammal detection data for the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]. NERC Environmental Information Data Centre 10.5285/62774180-ae72-4873-9482-e8be3935f533 This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo. Information for each camera trap sampling location, including spatial information and sampling effort is included. Data were collected in order to determine the contribution of carbon-based policies to biodiversity conservation in agricultural land-use mosaics. These data are essential to the development of the occupancy detection matrix. Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme. Full details about this dataset can be found at https://doi.org/10.5285/62774180-ae72-4873-9482-e8be3935f533 Deere, N. University of Kent njd21@kent.ac.uk pointOfContact Deere, N.J. University of Kent njd21@kent.ac.uk https://orcid.org/0000-0003-1299-2126 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 Guillera-Arroita, G. University of Melbourne gurutzeta.guillera@unimelb.edu.au https://orcid.org/0000-0002-8387-5739 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 Baking, E.L. Universiti Malaysia Sabah lonnbw@gmail.com author Bernard, H. Universiti Malaysia Sabah hbtiandun@gmail.com author Pfeifer, M. Newcastle University Marion.Pfeifer@newcastle.ac.uk https://orcid.org/0000-0002-6775-3141 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 Reynolds, G. South East Asia Rainforest Research Partnership (SEARRP) n.searrp@icloud.com author Wearn, O.R. Institute of Zoology, Zoological Society of London oliver.wearn@gmail.com https://orcid.org/0000-0001-8258-3534 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 Davies, Z.G. University of Kent z.g.davies@kent.ac.uk https://orcid.org/0000-0003-0767-1467 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 Struebig, M.J. University of Kent m.j.struebig@kent.ac.uk https://orcid.org/0000-0003-2058-8502 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 University of Kent EMAIL NOT PROVIDED owner notPlanned tropical forest mammal GEMET - Concepts, version 4.1.3 2019-01-28 creation Malaysia Borneo Sabah GeoNames 2006-01-01 creation Stability of Altered Forest Ecosystems (SAFE) Human-modified tropical forest (HMTF) fragmentation occupancy human-modified landscape oil palm otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © University of Kent 2017 otherRestrictions If you reuse this data, you should cite: Deere, N.J., Guillera-Arroita, G., Baking, E.L., Bernard, H., Pfeifer, M., Reynolds, G., Wearn, O.R., Davies, Z.G., Struebig, M.J. (2017). Mammal detection data for the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]. NERC Environmental Information Data Centre https://doi.org/10.5285/62774180-ae72-4873-9482-e8be3935f533 textTable English utf8 biota 2015-05-20 2015-10-08 117.42 117.718 4.583 4.774 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/62774180-ae72-4873-9482-e8be3935f533 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/62774180-ae72-4873-9482-e8be3935f533.zip Supporting information Supporting information available to assist in re-use of this dataset information https://eidc.ac.uk/sites/default/files/browsegraphics/safe.png SAFE 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 Remotely-operated digital cameras (HC500 Hyperfire, Reconyx, Wisconsin, U.S.A.) were deployed at 130 locations across the 203 landscape between May and September 2015. These locations were separated by a mean distance of 1.4 km and distributed across an elevational gradient (mean=376 m.a.s.l.; range=64-735 m.a.s.l.). Accounting for theft, vandalism and malfunction, data were retrieved from 120 locations. Sampling was stratified within four broad habitat classes to capture the heterogeneity of the landscape: continuous logged forest, highly disturbed forest, isolated forest remnants and oil palm plantations. Due to the number of cameras available, data collection was completed over two rotations, each comprising 65 locations. Single units were deployed for 42 consecutive nights per location, yielding a total survey effort of 4,669 camera nights. Cameras were positioned at a standardised height of 30cm, on low resistance travel routes (e.g. riparian areas, logging roads, skid trails) and off-trail to account for inter- and intra-specific differences in habitat use. Prior to analyses, all images that could not be identified to species level were discarded (blurred images and photos of non-target species, equating to 17.6% of data). A detection matrix was developed for each species, whereby 42-day sampling periods were divided into six, seven-day temporal replicates. Any camera site active for fewer than seven days was excluded from analysis, leaving 115 analytical units each with 2-6 replicates. The detection matrices denote species presence ('1'), absence ('0') or camera trap malfunction ('NA') during each sampling interval. During deployment, GPS coordinates of the specific site were documented. During the processing of camera trap data we further documented the exact date and time for deployment, collection or failure in the event of malfunction. These data were used to provide an indication of sampling effort.