EcoRes / Methods & data
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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.

Scenarios
9 1 baseline + 4 archetypes + 4 variants
Study areas
5 Central Highlands, Gippsland, Grampians, Mallee, Otways
Climate models
4 NARCLIM 1.5 downscaled, all RCP8.5
Simulation period
2024–2099 75 years · 9 × 5 × 4 × 50 replicates

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).

The FROST and FAME modelling pipeline
THE FROST → FAME PIPELINE · weather, ignition, fuel and management feed PHOENIX Rapidfire; fire history feeds FAME for species, growth stages and TFI.

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-limited

Heath, mallee and dry forest on quartz-sandstone ranges in western Victoria.

Mallee

Fuel-limited

Semi-arid eucalypt and pine-broombush in the north-west; sparse, slow-recovering.

Central Highlands

Climate-limited

Wet montane ash forest north of Melbourne; long fire-return intervals.

Gippsland

Climate-limited

Tall wet eucalypt forest into dry sclerophyll; megafire-affected.

Otways

Mixed regime

Cool temperate rainforest and dry sclerophyll on the south coast; behaviour switches with the climate year.

Map of the five study areas across Victoria
THE FIVE STUDY AREAS · Mallee, Grampians and Otways (fuel-limited), Central Highlands and Gippsland (climate-limited).

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.

CSIRO1_R1
ACCESS1-0 Warmer, slightly wetter
CSIRO2_R1
ACCESS1-3 Warmer, slightly drier
CCCMA_R1
CanESM2 Warmer, wetter; smaller temp rise
CSIRO2_R2
ACCESS1-3 Drier R2 downscaling
Annual temperature versus precipitation for the four climate models
THE FOUR MODELS · mean annual temperature vs precipitation — the spread is the climate uncertainty the simulations span.

06 · Metrics & outcomes

What gets reported

Each finding (4a–4f) reports a subset of these. The scorecard on step 5 compresses them all into ++ / + / — / − / −−.

MetricWhat it measuresReported in
Area burntAnnual area burnt by region, including wildfire and prescribed fire.4a · 4b
Fire frequencyHow often a given pixel reburns within the simulation horizon.4b
Fire severityDistribution of low / moderate / high severity fire by area.4b
Houses lost / exposedHouses within fire each year (exposure) and modelled loss (Tolhurst house-loss equation).4c
People lost / exposedPeople within fire each year (exposure) and modelled loss (Harris et al., 2012).4c
% below min-TFIProportion of vegetation burnt below its minimum tolerable fire interval, by EFG.4d
Growth-stage structureDistribution of post-fire stages (juvenile, adolescent, mature, old) by EFG.4d
Species relative abundanceModelled 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.

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