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HWS2018 Habitat suitability modelling results for Fish
Data describes habitat suitability modelling (HSM) results for fish in streams. The data was developed by University of Melbourne through the Melbourne Waterways Research Practice Partnership as part of the development of Melbourne Water’s Healthy Waterways Strategy 2018 (HWS2018). Analysis has been undertaken across the Melbourne Water operating region, where the operating region has been divided into 16,346 sub-catchments. Of these 16,346 subcatchments, 8233 contain Melbourne Water waterways. The results are presented for each of these 8233 reaches for these HWS scenarios:Current: habitat suitability for fish under current conditions (i.e. 2014).Current trajectory: habitat suitability for fish under urbanisation and climate change scenarios if current management approaches continue. Target trajectory: habitat suitability for fish given urbanisation and climate change (as for current trajectory), together with (a) delivery of performance objectives of the Healthy Waterways Strategy and (b) achievement of environmental condition scores as described in the Catchment Programs of the Healthy Waterways Strategy.Results are presented as:Stacked probabilities, i.e. habitat suitability all 13 native fished species added together. These stacked probability values were used in the HWS to provide a fish value score each reach and sub-catchments.Results are also provided for all 22 fish species. Presentation of habitat suitabilty model results for fish from the Healthy Waterways Strategy 2018.Habitat Suitability Model results have been thoroughly reviewed and are considered fit for purpose (i.e. for waterway planning). This data set covers the entire Melbourne Water region with the exception of very small areas close to Port Phillip Bay or Western Port. For example, there are small areas of French Island which are not captured.This data set was created using: 1. Streams dataset for the Healthy Waterways Strategy 2018 (developed by GraceGIS using Melbourne Water layers as inputs), and 2. Results from Habitat Suitability Modelling for the Healthy Waterways Strategy 2018. Further reading: Chee et al. (in development), Habitat Suitability Models, Scenarios and Quantitative Action Prioritisation (using Zonation) for Melbourne Water’s Healthy Waterways Strategy: A Resource Document, University of Melbourne and Melbourne Water for Melbourne Waterways Research Practice Partnership Melbourne Water (in development), Healthy Waterways Strategy Resource DocumentNOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.
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HWS2018 Habitat suitability modelling results for Macroinvertebrates
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Data describes habitat suitability modelling (HSM) results for macroinvertebrates in streams. The data was developed by University of Melbourne through the Melbourne Waterways Research Practice Partnership as part of the development of Melbourne Water’s Healthy Waterways Strategy 2018 (HWS2018). Analysis has been undertaken across the Melbourne Water operating region, where the operating region has been divided into 16,346 sub-catchments. Of these 16,346 subcatchments, 8233 contain Melbourne Water waterways. The results are presented for each of these 8233 reaches. The data was used to estimate the scores for macroninvertebrates presented in the HWS for three scenarios:Current: habitat suitability under current conditions (i.e. 2014).Current trajectory: habitat suitability under urbanisation and climate change scenarios if current management approaches continue.Target trajectory: habitat suitability given urbanisation and climate change (as for current trajectory), together with (a) delivery of performance objectives of the Healthy Waterways Strategy and (b) achievement of environmental condition scores as described in the Catchment Programs of the Healthy Waterways Strategy.Data has also been captured for a range of modelled HSM scenarios involving revegetation, stormwater management and climate change. Primary purpose is for waterways planning and analysis.Habitat Suitability Model results have been thoroughly reviewed and are considered fit for purpose (i.e. for waterway planning). This data set covers the entire Melbourne Water region with the exception of very small areas close to Port Phillip Bay or Western Port. For example, there are small areas of French Island which are not captured.This data set was created using: 1. Streams dataset for the Healthy Waterways Strategy 2018. This layer was developed by GraceGIS using Melbourne Water layers as inputs. 2. Results from Habitat Suitability Modelling for the Healthy Waterways Strategy 2018. Further reading: Chee et al. (in development), Habitat Suitability Models, Scenarios and Quantitative Action Prioritisation (using Zonation) for Melbourne Water’s Healthy Waterways Strategy: A Resource Document, University of Melbourne and Melbourne Water for Melbourne Waterways Research Practice PartnershipMelbourne Water (in development), Healthy Waterways Strategy Resource Document.NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.
HWS2018 Vegetation Extent Priority for Streams
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Data describes vegetation extent priorities for each stream reach across the Melbourne Water region. Each reach is classified as either high, medium or low priority. To meet the performance objectives of the Healthy Waterways Strategy 2018 (HWS2018), high priority reaches need to be revegetated by 2028. To meet the target trajectory scores of the Healthy Waterways Strategy, medium priority reaches need to be revegetated by 2068. Vegetation priority reaches were determined by a combination of decision support tools and the co-design process. The decision support tool used was Zonation, which prioritised management actions across the region with the objective of improving instream habitat suitability for platypus, fish and macroinvertebrates.For the most up-to-date performance objectives, see the co-designed Catchment Programs at: https://www.melbournewater.com.au/about-us/strategies-achievements-and-policies/healthy-waterways-strategy Results are considered fit for purpose (i.e. for waterway planning). This data set covers the entire Melbourne Water region with the exception of very small areas close to Port Phillip Bay or Western Port. For example, there are small areas of French Island which are not captured.This data set was created using: 1. Streams dataset for the Healthy Waterways Strategy 2018. This layer was developed by GraceGIS using Melbourne Water layers as inputs.For further reading on the prioritisation process see:• Chee et al. (in development), Habitat Suitability Models, Scenarios and Quantitative Action Prioritisation (using Zonation) for Melbourne Water’s Healthy Waterways Strategy: A Resource Document, University of Melbourne and Melbourne Water for Melbourne Waterways Research Practice Partnership• Melbourne Water (in development), Healthy Waterways Strategy Resource Document, Presentation of revegetation priority reaches for the Healthy Waterways Strategy 2018.NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.
HWS2018 Subcatchment Boundaries
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As part of the Healthy Waterways Strategy 2018 (HWS2018) the Melbourne Water operating region was split into a series of sub-regions. This includes 5 catchments, and 69 sub-catchments. The boundaries of each region generally follow catchment boundaries. There are two separate spatial scales:- Catchments (5 regions: Werribee, Maribyrnong, Yarra, Dandenong, Westernport) and Sub-catchments (69 polygons). This dataset is an update to the Regional River Health Strategy (RRHS) Management Units layer created in 2008. Primary purpose of this data is for reporting of targets, performance objectives, conditions, values etc. relating to the Healthy Waterways Strategy.The sub-catchments in this dataset are an update of the "management units" developed for the Regional River Health Strategy in 2008. This dataset was created by merging sub-catchments from the University of Melbourne sub-catchments layer, commonly referred to as the DCI layer (where DCI refers to Directly Connected Imperviousness). The catchment polygons in this layer are similar to, but not exactly the same as those in the DCI layer currently used internally at Melbourne Water - The internally used layer has 15,901 polygon catchments, whilst the layer used to create this dataset has 16,346 polygon catchments. The Melbourne Water internal dataset will shortly be updated to align.NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.
Wadeable Stream Habitat Data Integrated from Multiple Monitoring Programs for the US from 2000-2022
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Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard (Scully et al., 2023b). The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data collection events for a total of ~200,000 measurements. Measurements include reach characteristics (sampled reach length, channel gradient, sinuosity), channel dimensions (bankfull width and height, average bankfull width to depth ratio, mean thalweg depth, average wetted width), channel substrate particle sizes (percent fines, percent bedrock, fine sediment percentiles), pools (residual pool depth, pool tail fines), bank characterizations (angle), and water quality/chemistry (specific conductance, pH, specific conductance, turbidity, total nitrogen, total phosphorous). The dataset consists of 4 csv files: 'RecordLevel.csv', 'Location.csv', 'Event.csv', and 'MeasurementOrFact.csv'. The 4 csv data tables may be linked in a database structure using the 'entity relationship diagram.jpg' or by linking the following: Join RecordLevel primary key 'datasetID' to Location foreign key 'datasetID'. Join Location primary key 'locationID to Event foreign key 'locationID'. Join Event primary key 'eventID' to MeasurementOrFact foreign key 'eventID'. An analysis-ready file ('AnalysisStreamHabitatMonitoringMetricDataset.csv') is also published for user convenience.
WAMSI Node 4.3.2 - Ecosystem Modelling - Qualitative modelling of the Swan River Estuary ecosystem
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The qualitative model that is being developed for the estuarine ecosystem of the Swan River Estuary will be used to explore how environmental change due to both anthropogenic and non-anthropogenic factors is likely to affect the ecosystem and to assess the potential for management action to ameliorate adverse impacts. The study is part of a broader qualitative modelling study, initiated by WAMSI, that encompasses the Swan River Estuary, the Peel-Harvey Estuary and the Leschenault Estuary.
IMEF Reports-Macquarie
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The IMEF program generated multiple reports on program design, methodologies, and outcomes for environmental flow monitoring across NSW. Data was collected until 2012 in a range of aquatic systems affected by flow from regulated rivers. Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.
Department for Environment and Water - Estuarine Habitats of South Australia
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These datasets contain habitat mapping and outer boundaries for estuaries of South Australia. These estuaries were identified in the draft 'Estuaries Policy and Action Plan.'