nonCciKeyword

Sabah

8 record(s)

 

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  • [This dataset is embargoed until November 22, 2020]. This dataset includes capture data for insectivorous bats captured with harp traps in Sabah, Malaysia, and dietary metabarcoding data. The dietary data was generated through obtaining bat faeces, extracting the DNA, amplifying it using ZBJ-ArtF1c ZBJ-ArtR2c primers, and then sequencing it on an illumina miseq. Code to aid interpreting the data can be found at https://doi.org/10.17636/01044623 This data was collected as part of the NERC-funded LOMBOK HMTF project, also using a small grant from Bat Conservation International. Full details about this dataset can be found at https://doi.org/10.5285/8b106445-d8e0-482c-b517-5a372a09dc91

  • This dataset contains the results from a metabarcoding study of terrestrial leech blood meals to detect differences in the diets of two leech species, Haemadipsa picta and Haemadipsa sumatrana. Mammal taxa were identified using metabarcoding of 16s rRNA and comparisons of operational taxonomic units (OTUs) to a curated reference database from NCBI (National Center for Biotechnology Information) GenBank. All leeches were collected from the Stability of Altered Forest Ecosystems project (SAFE; www.SAFEproject.net) as part of the NERC Human Modified tropical Forest Programme and the LOMBOK consortia (Land-use Options for Maintaining BiOdiversity & eKosystem functions). Leech samples were collected at different sites across a habitat gradient, to assess these invertebrates as molecular sampling tools for mammals. Individuals were pooled before amplicon sequencing with Illumina MiSeq 150-200bp x2. The resultant raw sequences were filtered and clustered at 97%, curated and then assigned to the reference database using BLAST and MEGAN programmes. Full details about this dataset can be found at https://doi.org/10.5285/3affed0d-fe6f-4916-89e3-e672639191e5

  • Data are presented for Above ground Carbon Density (ACD) estimated from a series of forest census surveys which took place from 1992 – 2016 in a mixture of logged and unlogged tropical lowland dipterocarp forest in the Ulu Segama Forest Reserve (USFR) and Danum Valley Conservation Area (DVCA), Sabah, Malaysia. Additional data on logging method, coupe and year of logging is also presented. The USFR comprises of forested land divided into coupes that were each logged once, between 1972 and 1993 using either ‘tractor’ or ‘high-lead’ methods. Between 1993 and 2004, forest restoration treatments were carried out, including climber cutting and tree planting, annually across logging coupes within the USFR. The data-set was compiled from census carried out in three independent plot networks. The first led by researchers from the Universities of Dundee, Aberdeen and Nottingham. The second led by researchers from the University of Aberdeen. The third through the INnoprise FAce PROject INFAPRO project. Between 1992 and 2016 a forest census survey was carried out on at least two occasions in 553 forest plots to determine the rate of ACD accumulation and understand the impact of forest restoration treatments on ACD accumulation. Tree stem diameter, height and identity measurements at each plot were collected by project members and research assistants employed by the SouthEast Asian Rainforest Research Partnership (SEARRP). The ACD carbon estimation and modelling was led by researchers from the Universities of Dundee, ETH Zurich and Aberdeen. The data were compiled and submitted by researchers from the University of Dundee and ETH Zurich. Funding for the establishment of the original plot networks was provided by the EU-funded INDFORSUS project (ER-BIC18T960102), from New England Electric Systems, National Geographic Society and the Garden Club of America, and from Face the Future Foundation. Funding for the repeated measurements was provided by the NERC ‘Spatio-TEmporal Dynamics of Forest Response to ENSO Drought (STEED)’ (NERC grant reference NE/P004806/1) and the Carnegie Trust for the Universities of Scotland funded project ‘Changing species diversity and biomass accumulation in conserved and regenerating tropical forests: two decades on’. Full details about this dataset can be found at https://doi.org/10.5285/a75e6371-a931-4676-9199-d1f5af565ab2

  • 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

  • This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014. This includes the number of trees in plots and the average forest canopy per hectare at different heights. Data were collected 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/10.5285/6e18121c-2184-49df-a852-f3227c28d82f

  • This dataset contains records of exotic plant occurrence within 21 oil palm-dominated sites in Sabah, Malaysian Borneo. Within each site, exotic plants were recorded along 100m transects in up to four habitats that represented a gradient of disturbance. The four habitats included oil palm, forest-oil palm edge, disturbed forest and intact forest. In addition to exotic plant data, the dataset contains measurements of forest structure for each transect, including canopy cover and number of large native trees. These data were collected in order to examine the change in exotic species composition along a disturbance gradient from oil palm areas into intact rainforest remnants. Full details about this dataset can be found at https://doi.org/10.5285/372861ee-67c5-4bb3-b765-cf8c03c06199

  • Temperatures recorded 5cm above the forest floor in a gridded design (1 to 13m distance) within three, 1 hectare forest plots in Sabah, Borneo. The dataset also includes air temperature data from a nearby weather station at the same temporal resolution, and spatially-interpolated measurements of topography and canopy structure in each forest plot at a 1m resolution. iButton temperature measurement 5cm above the forest floor in gridded design (1-13m distance) within three 1-ha forest plots in Sabah, Borneo. Measurements were taken at 20 minute intervals over one continuous month (November 2015). Dataset also includes nearby weather station air temperature data at identical temporal resolution, as well as spatially-interpolated (1-m) measurements of topography and canopy structure in each forest plot. Output of BALI project (NERC funded Human-modified Tropical Forest Programme). Full details about this dataset can be found at https://doi.org/10.5285/17501db1-7a2b-4f4b-8965-f309d2d1c557

  • This dataset consists of invertebrate abundance data and associated ecosystem measurements (Including leaf litter depth and mass, seedlings, soil moisture and nutrients, and rainfall) measured within an area of lowland, old growth dipterocarp rainforest in the Maliau Basin Conservation Area, Sabah, Malaysia between 2015 and 2016. Data were collected during a collaborative 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/10.5285/1e9993ae-add7-497a-b54b-745b0fc6a7ca