Showing results for: [ Hoskins, Andrew ]
BILBI (the Biogeographic Infrastructure for Large-scaled Biodiversity Indicators) is a CSIRO capability for global biodiversity assessment. BILBI uses best available biological and environmental data,... more modelling and high performance computing to assess biodiversity change at fine spatial resolution across the global land surface. The example dataset and code are designed to be used together, to provide a demonstration of the BILBI implementation, stepping through an example of model fitting, through to indicator calculation and mapping.less
STRATEGIC - Global Biodiversity Modelling: Business model implementation for SDG, CBD and UN SEEA applications - - Published 13 Jul 2020
The control difficulty index (CDI) has been developed to provide a spatial assessment of the estimated difficulty of enacting an African Swine Fever (ASF) suppression program given an outbreak for any... more region across Australia. This layer is estimated at a spatial grain of 30-arcseconds (approx. 1 km2). The index provides a representation of the estimated difficulty for human enacted control actions and does not include information on the predicted densities of feral pigs or their ecology/behaviours given different habitat types. As such, the index does not integrate difficulties of control that could arise from the ability to find and kill pigs or the efficacy of any particular control strategy (e.g. baiting vs shooting) given differences in terrain.
Using satellite remote sensing data products and distance measures, this index combines several factors that will influence the difficulty of undertaking control across Australia by capturing the difficulty in mobilising resources into a region, the difficulty in undertaking ground control once arrived in the infected zone and the ability to undertake aerial control and/or carcass removal. To achieve this the index integrates measure that include, terrain ruggedness, road and track networks, land use type and canopy cover and remoteness from population centres.
This Index was developed to support national planning for African Swine Fever and was developed rapidly at a coarse resolution. The index can be modified for local conditions and the base code is available on request.
NESP NAER wetland mgmt - - Published 20 May 2020
This global spatial layer of contextual intactness aims to identify priority areas around the world where protection and management will best promote biodiversity persistence. This layer was derived b... morey integrating both the condition of each focal location and the condition of all other locations expected to have supported shared species with the focal location prior to any habitat degradation. The contextual intactness of each location (grid cell) is the proportion of habitat predicted to have once supported a similar assemblage of species but is now in worse condition than the focal location. This was derived using the BILBI global biodiversity assessment system, by integrating: (1) an updated map of the terrestrial human footprint on natural systems, and; (2) generalized dissimilarity models of species assemblage turnover for terrestrial vertebrates, invertebrates, and plants.less
The value of intact habitat for conserving biodiversity - - Published 23 Mar 2020
A global map of 5 land use types at 30s (approx. 1km) resolution for 2005. The data set was generated through the statistical downscaling of the Land-use Harmonisation data set (Hurt et al 2011) at ht... moretp://luh.umd.edu/. Five land use types (primary, secondary, pasture, crop, urban) are provided as separate raster layers, with the value of each cell representing the proportion of the grid cell occupied by that land use type. An additional layer representing cells defined as permanent ice (value of 1) is also provided.less
1173.3 Strat: WPC Global Prot Area Ass - Land-use downscaling - Published 04 Apr 2016