Core SAFE project small mammal trapping data

This is the combined dataset for the SAFE project's core small mammal trapping programme, which was run from 2011-2014 by O.R. Wearn, from 2015-2017 by P. M. Chapman, and from 2018-2019 by S. Heon. In total, trapping grids have been run at 30 sites across the SAFE landscape and control areas, covering blocks D, E, F, OG1, OG2, OG3 and OP2. However, since 2014 trapping has been limited to 12 standard permanent grids which are resampled annually: two in D (the 100ha fragment site), six in E (two each in the 1, 10 and 100ha sites), two in OG2 at the Maliau Basin Conservation area and two in OP2 at the Selangan Batu Oil Palm estate. In 2018, 2 new mammal grids were added : Dmatrix-1 and Ematrix-1 grid. The following grids were dropped E1-1, E10-1, E100-1 and D100-1, while D1-2 and D10-2 were sampled. In 2019, OG2-N, trap lines 1-8 were not accessible due to a massive landslide. In replacement, lines 47-56 were added to the trap grid for OG2-N. trapping grids Dmatrix-2 and Ematrix-2 were also added. All the new grids are reflected on the locations sheet. One standard annual sampling session comprises 96 traps run for seven nights, and the first sheet in the dataset ("Deployment") records this as 672 rows detailing the basic outcome of each trap night in the sampling session. There are several grids which form exceptions to this trapping pattern; details of these are recorded in the metadata. The subsequent two sheets (Corrected_Trapping_Data and Raw_Trapping_Data) form a more detailed record of captured animals. These sheets have the non-capture rows removed, along with most of the basic trap location and state data; however they can easily be linked back to the relevant rows in "Deployment" by the date and the unique trap identifier. At first capture, all possible details of captured animals are recorded, including age, sex, biometric measurements, crude estimates of parasite load, and the ID of any associated samples. All animals captured in good health were fitted with a Passive Integrated Transponder (PIT) Tag so the unique 10-digit alphanumeric number associated with each PIT tag is also recorded. Upon recapture, the animals are merely weighed and the PIT tag number and trap location recorded; this is partly to save time and partly to avoid unneccessary repeat anaesthesia. In 2018, Prevost's squirrel with the species code PVSQ was added into the species list. The entire dataset from 2011-2017 was extensively error-checked by PMC in 2018, then from 2018-2019 by SH with many errors identified, recorded, and where possible, rectified. These errors are most frequently duplications or typos in the PIT tag string. Where these errors are unresolvable, the true unique ID of the individual is no longer certain, and its independence from other individuals cannot be guaranteed. These records will require omitting from most analyses. The detailed dataset with capture data is therefore presented in both its raw and corrected forms. ("Raw_Trapping_Data" and "Corrected_Trapping_Data", respectively). In the corrected datasheet, all the resolvable errors have been corrected, with a brief note made of what was done and why. Notes have also been added to irresolvable errors briefly explaining the problem, and recommending omission from analyses where appropriate. We strongly recommend that all users rely on the corrected version; however we also include the raw data for completeness. In 2018, an additional sheet - general site information details was added

Authors

• Heon, S — SAFE Project, Southeast Asia Rainforest Research Partnership
• Chapman, Philip M. — Imperial College London
• Wearn, Oliver R — Zoological Society of London
• Berhard, Henry — Universiti Malaysia Sabah
• Ewers, Robert M — Imperial College London

Keywords

• Small mammals
• Muridae
• Tupaiidae
• Sciuridae
• Logged forest
• Primary forest
• Oil palm

Funders

• No funders recorded.

Permits

• No permits recorded.

Worksheets

Files

• SAFE_Core_Small_Mammal_Data_V3_2019_ROB_SUI.xlsx

Taxa

74 GBIF taxa, 0 sequence-derived taxa.