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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... -
Annual Family Income, 1996-1997 to 1998-1999 (Three Year Average)
Australian Bureau of Agricultural and Resource Economics and Sciences
This data relates to the average annual family income of broadacre and dairy farm properties which responded to the ABARE annual farm survey over a three year period from 1996... -
Statistical Local Areas 1996 for Agricultural Structure Classification
Australian Bureau of Agricultural and Resource Economics and Sciences
Analyses and classifications of demographic, farm financial and household statistics as indicators of of agricultural structural change in Australia between 1986-1996. Data is... -
Victorian Dryland Salinity Assessment 2000 – dc21cac_water_resources_new.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Consolidation of data relating to potential impacts of shallow water tables and salinity on water resource features See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc17cac_shallow_wt.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of land in Victoria into depth to water table classes See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc16cac_agric_cost.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Estimation of agricultural gross margins lost as the result of shallow water tables and salinity in each Catchment Management Authority region See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc10cac_flora_dist_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of threatened flora records located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc09cac_flora_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of threatened flora records located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc08cac_towns_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of towns located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc07cac_road_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of roads located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc06cac_util_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of utility features located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc05cac_wetland_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of wetland features located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc04cac_hydrol_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of hydrology features located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – d02cac_fauna_final.xls
Australian Bureau of Agricultural and Resource Economics and Sciences
Classification of threatened fauna records located in the potential shallow water table zone See further metadata for more detail. -
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 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 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...