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Agricultural Structure Classification
Australian Bureau of Agriculture 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... -
Mean annual concentration of mineral nitrogen in soil water (mgN / kgH20) in...
Australian Bureau of Agriculture and Resource Economics and Sciences
Definition: Mean annual dissolved concentration of mineral nitrogen in soil water (mg of nitrogen per kg of water), averaged for both soil layers. Interpretation: The dissolved... -
Mean transpiration in March 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... -
Mean transpiration in June 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 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... -
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... -
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... -
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... -
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... -
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... -
Mean transpiration in May 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...
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