-
Mean transpiration in September from the plant canopy for the present day scenario
Australian Bureau of Agriculture 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... -
Australian Water Resources Assessment 2000 Database
Australian Bureau of Agriculture and Resource Economics and Sciences
Database to support the Australian Water Resources Assessment 2000. The Resource Assessment was undertaken by the National Land and Water Resources Audit in partnership with all... -
Mean transpiration in August from the plant canopy for the present day scenario
Australian Bureau of Agriculture 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... -
Victorian Dryland Salinity Assessment 2000 – dc16cac_agric_cost.xls
Australian Bureau of Agriculture 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. -
Mean annual transpiration from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture 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 Agriculture 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 Agriculture 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... -
Victorian Dryland Salinity Assessment 2000 – dc07cac_road_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of roads located in the potential shallow water table zone See further metadata for more detail. -
Mean transpiration in November from the plant canopy for the present day scenario
Australian Bureau of Agriculture 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 July from the plant canopy for the present day scenario
Australian Bureau of Agriculture 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 December from the plant canopy for the present day scenario
Australian Bureau of Agriculture 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... -
Victorian Dryland Salinity Assessment 2000 – d02cac_fauna_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of threatened fauna records located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc21cac_water_resources_new.xls
Australian Bureau of Agriculture 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 Agriculture and Resource Economics and Sciences
Classification of land in Victoria into depth to water table classes See further metadata for more detail. -
Mean transpiration in February from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture 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... -
Victorian Dryland Salinity Assessment 2000 – dc06cac_util_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of utility features located in the potential shallow water table zone See further metadata for more detail. -
Mean transpiration in December from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture 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 annual transpiration from the plant canopy for the present day scenario
Australian Bureau of Agriculture 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... -
Victorian Dryland Salinity Assessment 2000 – dc05cac_wetland_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of wetland features located in the potential shallow water table zone See further metadata for more detail. -
Mean transpiration in June from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture 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...