How Eco Risk Projector works
Eco Risk Projector has two key concepts – systems and models.
A system is the collection of reporting locations (nodes) and scenario data for those locations. For example, a system could be a river and reporting locations could be gauges along that river.
A model defines and assesses the habitat requirements of a species, asset or process. Models can be calibrated to specific locations (e.g. specific flow requirements). Models all take flow data as input, and often other temporal parameters as well (e.g. Temperature and depth).
There are around 30 models in Eco Risk Projector that cover:
1. Species specific water requirements
Agassiz’s glassfish (Ambassis agassizii)
- Australian Bass (Macquaria novemaculeata) spawning and Juvenile movement
- Superseded Australian Bass (Macquaria novemaculeata) spawning and Juvenile movement
Banana prawn (Penaeus merguiensis) growth
Barramundi (Lates calcarifer) growth
Barramundi (Lates calcarifer) juvenile recruitment
Barramundi (Lates calcarifer) year class strength
Carp (Cyprinus carpio)
Eastern snake-necked turtle (Chelodina longicollis)
King Threadfin Salmon (Polydactylus macrochir) year class strength
Leafy elodea (Egeria densa) growth and decay
Mary River cod (Maccullochella mariensis)
Mary River turtle (Elusor macrurus) and White Throated Snapping turtle (Elseya albagula)
Northern snake-necked turtles (Chelodina oblonga)
Catfish (Tandanus tandanus) trigger for nest construction and egg survival
2. Generalised and process models
- Baseflow separation
- Colwells index
- Fish barriers and connectivity
Fish resilience through movement
- Low flow spawning fish
- Queensland offshore reef fishery
- Rating curve
- Simultaneous spell analysis
- Spell analysis
- Summary statistics
- Waterhole persistence
3. Flow assessment
- Freshes – variable success
- Lowflow – variable success
- Multiyear Freshes – variable success
- Oversupply – variable success
Set up the system
- Create a system (you can have as many systems as you like).
- Add scenarios to your system (set one as the default).
- Add reporting locations to your system (as many as you have data for)
- Upload modelled data for each location and scenario. If the same data applies for all scenarios, upload it on the default scenario.
- Connect to the streamflow API service for observed data on the relevant scenarios/locations.
Once your system is setup, go ahead and create models to run against that data.
- Create a new model (select from the dropdown of ~30 available (and growing) models.
- Set the default parameter setting for the model (you can refine these for each reporting location later)
3. Set the Assessment method (how should the model be assessed to achieve an annual score, and does it need to be considered across years (temporal averaging) and how do we create a risk assessment across multiple locations).
4. Customise the model settings for each reporting location if required.
5. Run the model for selected scenarios
6. Explore the results – environmental risk across locations or at a location (summary view) or opportunities view which shows the temporal pattern of risks and opportunities across locations and for individual locations.