Methods & data · Reference
How EcoRes was actually run.
The pipeline, the scenarios, the landscapes, the climate models, the metrics and the limitations. The page exists so you can defend (or interrogate) any number on this site back to its source.
01 · Overview
A simulation, not an experiment
EcoRes is a modelling study. It does not measure what happens to real Victorian landscapes — it simulates what would happen, under each of nine fuel-management strategies, across five case-study regions, under four climate models. Every finding on this site is a quantity drawn from those simulations.
The simulation pipeline pairs two models: FROST for fire behaviour and weather-driven spread, and FAME for vegetation, growth-stage structure, and species response. A run is one combination of {scenario × region × climate model} iterated forward over the simulation horizon.
02 · Pipeline
FROST + FAME
FROST (Fire Regime Operations and Simulations Tool) brings together sub-models for weather, ignition, fuel state, suppression and fuel management, which feed the core fire-behaviour model PHOENIX Rapidfire. It produces fire footprints — what burnt, where, when, and at what severity — for each year from 2024 to 2099. FROST is built and maintained by the FLARE Wildfire Research Group.
FAME (Fire Analysis Module for Ecological values) consumes those footprints with the vegetation map and produces the ecological response: TFI compliance, growth-stage structure by Ecological Fire Group (EFG), and relative abundance for 38 fauna species. FAME is maintained by the Arthur Rylah Institute.
Each combination is run over 75 years and averaged across 50 replicates. Fire and asset outcomes are reported relative to the suppression-only (SO) baseline; species abundance is reported against 2024 starting conditions (= 1.0).
03 · Scenarios
The nine, summarised
One baseline (SO) plus four archetypes — JFMP, EPZ, PRB and SS. Each is also run as
a variant: JFMP at an elevated rate (JFMP_E), and EPZ, PRB and SS overlaid
on current DEECA zoning (the _JFMP variants) — nine scenarios in all.
The full taxonomy with descriptions lives on step 3;
the strategy-vs-outcome scorecard lives on step 5.
Naming. The same scenario appears under three names across report, database and
Shiny apps. This site uses one plain set — SO · JFMP · JFMP_E · EPZ · PRB · SS — with
_JFMP as the with-current-zoning suffix. See the alias table on
step 3.
04 · Case-study regions
Five landscapes
The five regions span the regime types DEECA manages — fuel-limited landscapes where burning bites hard, climate-limited landscapes where weather dominates, and one mixed case that flips with the year. Findings reported as Victoria-wide are weighted averages across the five.
Grampians / Gariwerd
Fuel-limitedHeath, mallee and dry forest on quartz-sandstone ranges in western Victoria.
Mallee
Fuel-limitedSemi-arid eucalypt and pine-broombush in the north-west; sparse, slow-recovering.
Central Highlands
Climate-limitedWet montane ash forest north of Melbourne; long fire-return intervals.
Gippsland
Climate-limitedTall wet eucalypt forest into dry sclerophyll; megafire-affected.
Otways
Mixed regimeCool temperate rainforest and dry sclerophyll on the south coast; behaviour switches with the climate year.
05 · Climate models
Four models, one pathway
FROST draws daily and half-hourly weather from the NARCLIM 1.5 regional projections. Four downscaled models were used to span the plausible range — all following RCP8.5, the high-emissions pathway — over the full 75 years, 2024–2099.
06 · Metrics & outcomes
What gets reported
Each finding (4a–4f) reports a subset of these. The scorecard on step 5 compresses them all into ++ / + / — / − / −−.
| Metric | What it measures | Reported in |
|---|---|---|
| Area burnt | Annual area burnt by region, including wildfire and prescribed fire. | 4a · 4b |
| Fire frequency | How often a given pixel reburns within the simulation horizon. | 4b |
| Fire severity | Distribution of low / moderate / high severity fire by area. | 4b |
| Houses lost / exposed | Houses within fire each year (exposure) and modelled loss (Tolhurst house-loss equation). | 4c |
| People lost / exposed | People within fire each year (exposure) and modelled loss (Harris et al., 2012). | 4c |
| % below min-TFI | Proportion of vegetation burnt below its minimum tolerable fire interval, by EFG. | 4d |
| Growth-stage structure | Distribution of post-fire stages (juvenile, adolescent, mature, old) by EFG. | 4d |
| Species relative abundance | Modelled abundance for 38 species, relative to 2024 baseline = 1.0. | 4e |
07 · Limitations
What this study doesn't answer
Knowing what the modelling does not capture is as important as knowing what it does. The four caveats below frame how findings should be used in operational planning.
It is not an operational plan
EcoRes simulates regime-scale outcomes. It does not specify what to burn in a particular district next year.
Invasive species not modelled
Post-fire weed dynamics, herbivore pressure and re-colonisation paths sit outside the species-response model.
Coarse climate envelope
Four climate models are an envelope, not a forecast. Extreme outliers (e.g. compound events) are under-represented.
Uncertainty is structural
Findings hold direction more strongly than magnitude. Use the scorecard's qualitative bands when communicating publicly.
08 · Data access
How to get the underlying outputs
The Shiny apps linked from the findings on step 4 pull from the same database that produced the report. Aggregated outputs by scenario × study area × metric are available on request; raw FROST + FAME outputs are larger and supplied by arrangement. For access or datasets, email fire.ecology.support@deeca.vic.gov.au.
Download the full report
The EcoRes final report, with the literature review, expert-elicitation workshops, case-study chapters and full modelling results.