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The focus of this dataset is the Australian Capital Territory (ACT). It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset contains hazard ratings for land salinity, stream salt load and stream EC as well as overall salinity hazard for each HGL unit. Information about landscape functions and appropriate salinity management strategies are also listed. Hyperlinks to full management descriptions for each HGL unit are provided. The Hydrogeological Landscape (HGL) concept provides a structure for understanding how differences in salinity are expressed across the landscape. A HGL spatially differentiates areas with similar salt stores and pathways for salt mobilisation. The process of delineating a HGL relies on the integration of a number of causative factors: geology, soils, slope, regolith thickness, and climate; an understanding of the different modes of salinity development; and the impacts of salinity within landscapes (land salinity, salt load and salt concentration in streams due to salt contributions from base flow and runoff ). Information sources such as soil landscape maps, site characterisation, salinity occurrence maps, hydrogeological data, surface water and groundwater data are incorporated into standardised unit descriptions.
Updates: By mid-2017, this dataset will be updated to align HGL boundaries with the final ACT Soil Landscape linework. After that, the dataset will be static, but could be updated as required if new or better mapping becomes available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing land management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in ‘GDA1994 MGA Zone 55s’ and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors. © ACT Government
The focus of this dataset is the Australian Capital Territory (ACT). The dataset defines individual management areas in defined Hydrogeological Landscapes (HGL), specifies landform elements and assigns a unique Landscape Code to be used when incorporating soil and land degradation management action information. The dataset provides the base for joining other landscape information to specific management areas when developing new spatial products for the ACT. The management areas for the ACT were derived by: (i) Dividing the ACT region into two regions – highlands and lowlands (ii) Running LF7 with a 10 m DEM using these regions as a constraint (iii) Combining the two outputs and intersecting with ACT HGL boundaries (iv) Assigning a HGL management area to each of the LF7 classes in each HGL unit based on ACT HGL descriptions and field observation (v) Converted to a feature class and dissolved (vi) Extra information about each management area added to the feature class.
Updates: By mid-2017, this dataset will be updated to align HGL boundaries with the final ACT Soil Landscape linework. After that, the dataset will be static, but could be updated as required if new or better mapping becomes available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing land management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
Climate change is expected to impact soils through changes in both soil erosion and rainfall erosivity. Change in erosion can have significant implications for natural assets, agricultural lands and water quality. The Office of Environment and Heritage has applied selected projections from NARCliM to current ACT HGL land degradation layers and modeled hillslope erosion data in order to provide updated information on the projected impacts of climate change on soil erosion and rainfall erosivity in the near future (2030). A number of steps were taken to derive erosion hazard and climate risk ratings for the ACT: (i) Divide ACT HGL into two groups – highland and lowland. (ii) Cut modeled current hillslope erosion to the highland group boundary. (iii) Assign 1 to 5 rating: (< 0.5 t/ha/yr = 1; 0.5 to 2 t/ha/yr = 2; 2 to 5 t/ha/yr = 3; 5 to 10 t/ha/yr = 4; > 10 t/ha/yr = 5). (iv) Cut water erosion LSC to lowland group boundary. (v) Assigned 1 to 5 rating: LSC 1 & 2 =1 (Very Low); LSC 3 & 4 = 2(Low); LSC 5 = 3 (Moderate); LSC 6 = 4 (High); LSC 7 & 8 = 5 (Very High). (vi) Combine highland and lowland groups to form continuous ‘current erosion hazard’ feature. (vii) Convert hazard feature to a GRID. (viii) Determine percent change in predicted rainfall erosivity (r-factor) from modeled NARCliM hillslope erosion data for three selected near future regional climate projection ensembles (multimodel mean, CCCMA3.1-R2, ECHAM5-R3) (ix) Classify results in to five classes and assign scores: (< -10% = -2; -10% to -5% = -1; -5% to 5% = 0; 5% to 10% = 1; > 10% = 2) (x) Using raster maths in ArcGIS, add current erosion hazard scores and percent change in predicted rainfall erosivity scores to derive overall climate change risk ratings for each of the selected climate projection ensembles (1-Very Low, 2-Low, 3-Moderate, 4-High, 5-Very High). (xi) Convert climate change risk grids to feature classes and dissolve on ‘rating’. (xii) Join extra fields for GIS use. (xiii) Combine new hazard and risk features into a single geodatabase.
Updates: This product is a ‘first-pass’ assessment, but can be updated as required if new or better mapping become available. It is expected changes will be made as new NARCliM and ACT soil landscape products become available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for identifying current and future erosion hazards under climate change at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
Climate change is expected to impact soils through changes in both soil erosion and rainfall erosivity. Change in erosion can have significant implications for natural assets, agricultural lands and water quality. The Office of Environment and Heritage has applied selected projections from NARCliM to current ACT HGL land degradation layers and modeled hillslope erosion data in order to provide updated information on the projected impacts of climate change on soil erosion and rainfall erosivity in the near future (2030). A number of steps were taken to derive erosion hazard and climate risk ratings for the ACT: (i) Divide ACT HGL into two groups – highland and lowland. (ii) Cut modeled current hillslope erosion to the highland group boundary. (iii) Assign 1 to 5 rating: (< 0.5 t/ha/yr = 1; 0.5 to 2 t/ha/yr = 2; 2 to 5 t/ha/yr = 3; 5 to 10 t/ha/yr = 4; > 10 t/ha/yr = 5). (iv) Cut water erosion LSC to lowland group boundary. (v) Assigned 1 to 5 rating: LSC 1 & 2 =1 (Very Low); LSC 3 & 4 = 2(Low); LSC 5 = 3 (Moderate); LSC 6 = 4 (High); LSC 7 & 8 = 5 (Very High). (vi) Combine highland and lowland groups to form continuous ‘current erosion hazard’ feature. (vii) Convert hazard feature to a GRID. (viii) Determine percent change in predicted rainfall erosivity (r-factor) from modeled NARCliM hillslope erosion data for three selected near future regional climate projection ensembles (multimodel mean, CCCMA3.1-R2, ECHAM5-R3) (ix) Classify results in to five classes and assign scores: (< -10% = -2; -10% to -5% = -1; -5% to 5% = 0; 5% to 10% = 1; > 10% = 2) (x) Using raster maths in ArcGIS, add current erosion hazard scores and percent change in predicted rainfall erosivity scores to derive overall climate change risk ratings for each of the selected climate projection ensembles (1-Very Low, 2-Low, 3-Moderate, 4-High, 5-Very High). (xi) Convert climate change risk grids to feature classes and dissolve on ‘rating’. (xii) Join extra fields for GIS use. (xiii) Combine new hazard and risk features into a single geodatabase.
Updates: This product is a ‘first-pass’ assessment, but can be updated as required if new or better mapping become available. It is expected changes will be made as new NARCliM and ACT soil landscape products become available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for identifying current and future erosion hazards under climate change at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
Climate change is expected to impact soils through changes in both soil erosion and rainfall erosivity. Change in erosion can have significant implications for natural assets, agricultural lands and water quality. The Office of Environment and Heritage has applied selected projections from NARCliM to current ACT HGL land degradation layers and modeled hillslope erosion data in order to provide updated information on the projected impacts of climate change on soil erosion and rainfall erosivity in the near future (2030). A number of steps were taken to derive erosion hazard and climate risk ratings for the ACT: (i) Divide ACT HGL into two groups – highland and lowland. (ii) Cut modeled current hillslope erosion to the highland group boundary. (iii) Assign 1 to 5 rating: (< 0.5 t/ha/yr = 1; 0.5 to 2 t/ha/yr = 2; 2 to 5 t/ha/yr = 3; 5 to 10 t/ha/yr = 4; > 10 t/ha/yr = 5). (iv) Cut water erosion LSC to lowland group boundary. (v) Assigned 1 to 5 rating: LSC 1 & 2 =1 (Very Low); LSC 3 & 4 = 2(Low); LSC 5 = 3 (Moderate); LSC 6 = 4 (High); LSC 7 & 8 = 5 (Very High). (vi) Combine highland and lowland groups to form continuous ‘current erosion hazard’ feature. (vii) Convert hazard feature to a GRID. (viii) Determine percent change in predicted rainfall erosivity (r-factor) from modeled NARCliM hillslope erosion data for three selected near future regional climate projection ensembles (multimodel mean, CCCMA3.1-R2, ECHAM5-R3) (ix) Classify results in to five classes and assign scores: (< -10% = -2; -10% to -5% = -1; -5% to 5% = 0; 5% to 10% = 1; > 10% = 2) (x) Using raster maths in ArcGIS, add current erosion hazard scores and percent change in predicted rainfall erosivity scores to derive overall climate change risk ratings for each of the selected climate projection ensembles (1-Very Low, 2-Low, 3-Moderate, 4-High, 5-Very High). (xi) Convert climate change risk grids to feature classes and dissolve on ‘rating’. (xii) Join extra fields for GIS use. (xiii) Combine new hazard and risk features into a single geodatabase.
Updates: This product is a ‘first-pass’ assessment, but can be updated as required if new or better mapping become available. It is expected changes will be made as new NARCliM and ACT soil landscape products become available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for identifying current and future erosion hazards under climate change at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
Climate change is expected to impact soils through changes in both soil erosion and rainfall erosivity. Change in erosion can have significant implications for natural assets, agricultural lands and water quality. The Office of Environment and Heritage has applied selected projections from NARCliM to current ACT HGL land degradation layers and modeled hillslope erosion data in order to provide updated information on the projected impacts of climate change on soil erosion and rainfall erosivity in the near future (2030). A number of steps were taken to derive erosion hazard and climate risk ratings for the ACT: (i) Divide ACT HGL into two groups – highland and lowland. (ii) Cut modeled current hillslope erosion to the highland group boundary. (iii) Assign 1 to 5 rating: (< 0.5 t/ha/yr = 1; 0.5 to 2 t/ha/yr = 2; 2 to 5 t/ha/yr = 3; 5 to 10 t/ha/yr = 4; > 10 t/ha/yr = 5). (iv) Cut water erosion LSC to lowland group boundary. (v) Assigned 1 to 5 rating: LSC 1 & 2 =1 (Very Low); LSC 3 & 4 = 2(Low); LSC 5 = 3 (Moderate); LSC 6 = 4 (High); LSC 7 & 8 = 5 (Very High). (vi) Combine highland and lowland groups to form continuous ‘current erosion hazard’ feature. (vii) Convert hazard feature to a GRID. (viii) Determine percent change in predicted rainfall erosivity (r-factor) from modeled NARCliM hillslope erosion data for three selected near future regional climate projection ensembles (multimodel mean, CCCMA3.1-R2, ECHAM5-R3) (ix) Classify results in to five classes and assign scores: (< -10% = -2; -10% to -5% = -1; -5% to 5% = 0; 5% to 10% = 1; > 10% = 2) (x) Using raster maths in ArcGIS, add current erosion hazard scores and percent change in predicted rainfall erosivity scores to derive overall climate change risk ratings for each of the selected climate projection ensembles (1-Very Low, 2-Low, 3-Moderate, 4-High, 5-Very High). (xi) Convert climate change risk grids to feature classes and dissolve on ‘rating’. (xii) Join extra fields for GIS use. (xiii) Combine new hazard and risk features into a single geodatabase.
Updates: This product is a ‘first-pass’ assessment, but can be updated as required if new or better mapping become available. It is expected changes will be made as new NARCliM and ACT soil landscape products become available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for identifying current and future erosion hazards under climate change at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
The focus of this dataset is the Australian Capital Territory (ACT). It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset identifies soil and land degradation issues in defined Hydrogeological Landscapes (HGL). At the HGL unit level, information about general management issues and landscape function is assigned. Classifications for Land and Soil Capability (LSC) Soil Regolith Stability and Soilworks class are assigned at an individual management area level within each HGL. Appropriate management actions for soil and land degradation management and specific high risk land uses are given for each management area. Hyperlinks to full soil and land degradation management descriptions for each HGL unit are provided. The Hydrogeological Landscape (HGL) concept provides a structure for understanding how differences in salinity are expressed across the landscape. A HGL spatially differentiates areas with similar salt stores and pathways for salt mobilisation. The process of delineating a HGL relies on the integration of a number of causative factors: geology, soils, slope, regolith thickness, and climate; an understanding of the different modes of salinity development; and the impacts of salinity within landscapes (land salinity, salt load and salt concentration in streams due to salt contributions from base flow and runoff ). Information sources such as soil landscape maps, site characterisation, salinity occurrence maps, hydrogeological data, surface water and groundwater data are incorporated into standardised unit descriptions.
Updates: By mid-2017, this dataset will be updated to align HGL boundaries with the final ACT Soil Landscape linework. After that, the dataset will be static, but could be updated as required if new or better mapping becomes available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing land management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in ‘GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
The focus of this dataset is the Australian Capital Territory. It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset defines individual management areas and specifies appropriate management actions and specific high risk land uses for each management area. Information about salinity hazard ratings, landscape functions and salinity management strategies at the HGL unit level are also incorporated. Hyperlinks to full management descriptions for each HGL unit are provided. The Hydrogeological Landscape (HGL) concept provides a structure for understanding how differences in salinity are expressed across the landscape. A HGL spatially differentiates areas with similar salt stores and pathways for salt mobilisation. The process of delineating a HGL relies on the integration of a number of causative factors: geology, soils, slope, regolith thickness, and climate; an understanding of the different modes of salinity development; and the impacts of salinity within landscapes (land salinity, salt load and salt concentration in streams due to salt contributions from base flow and runoff ). Information sources such as soil landscape maps, site characterisation, salinity occurrence maps, hydrogeological data, surface water and groundwater data are incorporated into standardised unit descriptions.
Updates: By mid-2017, this dataset will be updated to align HGL boundaries with the final ACT Soil Landscape linework. After that, the dataset will be static, but could be updated as required if new or better mapping becomes available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing land management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in ‘GDA1994 MGA Zone 55s’.
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors. © ACT Government
Compilation map of existing wetland mapping sourced from the ACT Environment and Planning Directorate and NSW Office of Environment and Heritage. Wetland polygons are classified according to the Australian National Aquatic Ecosystems classification (Aquatic Ecosystems Task Group 2012 - Aquatic Ecosystems Toolkit. Module 2. Interim Australian National Aquatic Ecosystem Classification Framework), using the methodology of Brooks et al. (2014) - Murray-Darling Basin aquatic ecosystem classification: Stage 2 report, and the classification of Claus et al. (2011) - Assessing the extent and condition of wetlands in NSW: Supporting report A – Conceptual framework. Wetlands have been linked to the ACT Hydrogeological Landscape units and Management Areas, with designation as a priority if listed under either Ramsar or Directory of Important Wetland Australia (Environment Australia 2001) or associated with the endangered Alpine Sphagnum Bogs and Associated Fens ecological community (DEWHA 2009).
wb_equation - water balance equation where P denotes precipitation, SR surface runoff, SF flow from a river or stream connection and GW groundwater recharge and discharge, ET evapotranspiration.
w_loss - water loss equation - ET evapotranspiration, SRc surface runoff, SFmi / SFma surface flow, GW groundwater
Updates: The dataset is now static, but can be updated as required if new or better mapping become available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing wetland management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in GDA1994 MGA Zone 55s and transformed to GDA2020 MGA Zone 55s.
Credits: Alie Cowood (UC), Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.
ACT wetland climate vulnerability assessment: Each wetland has been assigned a climate change vulnerability class (low, moderate or high) based on the wetland assessment of Cowood et al. (in prep). The wetland assessment statistically grouped wetlands projected to experience similar levels of future change. Assessment examined the relationship of 16 variables characterising current anthropogenic pressure and future ecological and hydrological change (Williams et al. 2014; QLD Department of Science, Information Technology, Innovation and the Arts 2015; Littleboy et al. 2015; NSW Office of Environment and Heritage 2016).
Compilation map of existing wetland mapping sourced from the ACT Environment and Planning Directorate and NSW Office of Environment and Heritage. Wetland polygons are classified according to the Australian National Aquatic Ecosystems classification (Aquatic Ecosystems Task Group 2012 - Aquatic Ecosystems Toolkit. Module 2. Interim Australian National Aquatic Ecosystem Classification Framework), using the methodology of Brooks et al. (2014) - Murray-Darling Basin aquatic ecosystem classification: Stage 2 report, and the classification of Claus et al. (2011) - Assessing the extent and condition of wetlands in NSW: Supporting report A – Conceptual framework. Wetlands have been linked to the ACT Hydrogeological Landscape units and Management Areas, with designation as a priority if listed under either Ramsar or Directory of Important Wetland Australia (Environment Australia 2001) or associated with the endangered Alpine Sphagnum Bogs and Associated Fens ecological community (DEWHA 2009).
Updates: The dataset is now static, but can be updated as required if new or better mapping become available.
Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing wetland management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in ‘GDA1994 MGA Zone 55s’ and transformed to GDA2020 MGA Zone 55s.
Credits: Alie Cowood (UC), Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI)
Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from errors.