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Australian Dryland Salinity Assessment Spatial Data (1:2,500,000) – NLWRA 2001
Australian Bureau of Agricultural and Resource Economics and Sciences
The maps represent a compilation of dryland salinity risk and hazard mapping for 2000, 2020 and 2050. The map shows the broad distribution of areas considered as having either a... -
New South Wales – Dryland Salinity Assessment 2000 – Assessmet of Dryland...
Australian Bureau of Agricultural and Resource Economics and Sciences
The data shows areas of dryland salinity risk in 2020 in the Murray-Darling Basin within NSW and coastal NSW catchments.Areas of risk are based on groundwater levels and air... -
New South Wales – Dryland Salinity Assessment 2000 – Assessmet of Dryland...
Australian Bureau of Agricultural and Resource Economics and Sciences
The data shows areas of dryland salinity risk in 2000 in the Murray-Darling Basin within NSW and coastal NSW catchments.Areas of risk are based on groundwater levels and air... -
Elevation of the Pre-Tertiary Basement in the Murray Basin
Australian Bureau of Agricultural and Resource Economics and Sciences
ABARES has tried to make the information in this product as accurate as possible. However, it does not guarantee that the information is totally accurate or completed.... -
Forests of Australia (2003)
Australian Bureau of Agricultural and Resource Economics and Sciences
This is a superseded dataset, the current Forest's of Australia (2023) dataset can be found at: https://www.agriculture.gov.au/abares/forestsaustralia/forest-data-maps-and-... -
Boreholes in the Murray Basin, Southeastern Australia
Australian Bureau of Agricultural and Resource Economics and Sciences
ABARES has tried to make the information in this product as accurate as possible. However, it does not guarantee that the information is totally accurate or completed.... -
Equivalent Fresh Water Head Difference Between the Shallowest and Deepest Aquifers
Australian Bureau of Agricultural and Resource Economics and Sciences
ABARES has tried to make the information in this product as accurate as possible. However, it does not guarantee that the information is totally accurate or completed.... -
Surface Water Gauging Stations (Part of the Australian Water Resources...
Australian Bureau of Agricultural and Resource Economics and Sciences
Contains the spatial location of Surface Water Gauging Stations and their unique identifiers.These locations and attributes were entered into a database by each State and... -
New South Wales – Dryland Salinity Assessment 2000 – Assessmet of Dryland...
Australian Bureau of Agricultural and Resource Economics and Sciences
The data shows areas of dryland salinity risk in 2050 in the Murray-Darling Basin.Areas of risk are based on groundwater levels and air photo interpretation. The merged data, at... -
ost of Salinity to Local Infrastructure 1996-97 – Total cost of the rail...
Australian Bureau of Agricultural and Resource Economics and Sciences
This dataset contains 14 national surfaces, represented by 1km grids, relating to the cost of salinity damage to local infrastructrure. The infrastructure cost impacts are... -
Mean transpiration in September from the plant canopy for the present day scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean trasnpiration in September from the plant canopy for the pre 1788 scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in October from the plant canopy for the present day scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in October from the plant canopy for the pre 1788 scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in November from the plant canopy for the present day scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in November from the plant canopy for the pre 1788 scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in May from the plant canopy for the present day scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in May from the plant canopy for the pre 1788 scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in March from the plant canopy for the present day scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in March from the plant canopy for the present day scenario
Australian Bureau of Agricultural and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than...