The Geophysical Borehole Log index provides details of all digital geophysical logs available to BGS. The database provides the borehole metadata related to logging and metadata for the logging itself and log data stored in a proprietary hierarchical database system (PETRIS RECALL). Contains most digital geophysically logged bores known to BGS National Geological Records Centre. Scattered distribution of boreholes, locally dense coverage, relatively few logs from Scotland & Central Wales, increasing data density on UK continental Shelf.
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
This code uses pathway modelling to look at correlations of exotic plant invasion in tropical rainforest remnants and continuous sites. Partial least squares path-modelling looks at correlations between latent variables that are informed by measured variables. The code examines the relative influence of landscape-level fragmentation, local forest disturbance, propagule pressure, soil characteristics and native community composition on invasion. The total native community is examined first. Then subsets of the native community are modelled separately, adult trees, tree saplings, tree seedlings and ground vegetation. The relationship between the native and exotic communities was tested in both directions. Full details about this application can be found at https://doi.org/10.5285/adbf6d29-ee7b-4dd1-9730-11d2308d526c