Showing results for: [ Nolan, Martin ]
This collection of 9-second raster data was compiled for use in modelling biodiversity pattern by developers engaged in supporting the New South Wales Biodiversity Indicators Program. Substrate and la... morendform data derive from existing collections and have been altered from their native format to fill missing and erroneous data gaps as described in the lineage. Climate data were derived using existing methods as described in the lineage. Masks derived or adopted for use in processing the data are included in this collection. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994. less
BBA2: Conduct the baseline assessment and prepare a state of NSW biodiversity report - Spatial Data Preparation - Published 02 Dec 2020
Adaptive capacity index (ACI) calculated using Australian Bureau of Statistics (ABS) Census data for 2011 and 2016 reported by Statistical Areas Level 1 (SA1) geographical areas in the Murray-Darling ... moreBasin. The method developed by the Australian Bureau of Agricultural and Resource Economics and Sciences was applied to data from ABS Basic Community Profile Tables for 2011 and General Community Profile Tables for 2016 and scaled across the two time periods to provide a measure of change in the ACI. See project report for details. The files include the sub-indexes of human capital, social capital and local economic diversity as well as the ACI for each SA1 intersecting the Murray-Darling Basin.less
Water and Society - - Published 05 Nov 2020
Using the Land-Use Trade-Offs (LUTO) model, this data collection was produced via a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia... more’s intensive-use agricultural land to 2050, under intersecting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land uses and assessed sustainability of economic returns and multiple ecosystem services at high spatial (1.1 km grid cell) and temporal (annual) resolution.
Results available are for 648 scenarios covering combinations of four global outlooks, three general circulation climate models, three domestic land-use policies, three productivity growth rates, three land-use change adoption hurdle rates, and two capacity constraint settings.
Outputs included for each scenario are:
- annual land-use layers
- summary data table
- graphical dashboard summary
- animation of potential land-use change, drivers, and impacts.
This analysis was conducted in conjunction with CSIRO’s Australian National Outlook 2015 initiative to assess future potential land-use change and the impacts for the sustainability of ecosystem services. A full description of the methods and synthesis of the results can be found in the papers listed in the Related Information below and freely available via email from the author.
The data is provided to support a national conversation on the future for Australian land systems, public decision-making and policy design, and further scientific research.
SIP 59 LUTO land use modelling science p - Modelling - Published 31 Jul 2020
A selection of 9-arcsecond resolution substrate surfaces (soil and landform) for the Australian continent, aggregated from 3-arcsecond source data. These substrate surfaces have been selected because ... morethey have been found to be relevant to biodiversity modelling using generalised dissimilarity modelling. These data are intended to be used along with a similarly compiled and spatially standardised 9-arcsecond gridded climatic layers. See links for related collections. less
DEE: Enhancing landscape data and analytic capability through knowledge transfer of GDM technology - Australian 9s environmental surfaces - Published 19 Jun 2018
The maps in this data base identify most profitable land use in 2050. The information plotted on the maps is classified by current and potential land use, for seven scenarios assuming new land markets... more and recent trend agricultural productivity. Each scenario assumes a different level of carbon payment for single-species plantings, expressed as a share of the maximum payment in the very strong abatement scenario. Differences in payment rate arise from the level of global abatement incentives, interacting with biodiversity settings. The analysis assumes that no land shifts from native vegetation (including forest, woodland, shrubland and grassland) to agricultural use. The H3 map is for balanced land market settings. The CSIRO Data Access portal provides individual PowerPoint slides for each scenario, individual .tif files for each scenario map. Access to the Australian National Outlook Report and Technical Report can be found at http://www.csiro.au/nationaloutlook/.less
Integration Science and Modelling (ISAM) - Modelling - Published 14 Mar 2016