Invasive Species Presence

AUS-ASC-FOR-ISP General Moderate confidence

Benchmark Value

No specific value — see range
Range: 35 to 40 %
Thresholds: Lower: 35, Upper: 40
Optimal Range: 35 to 40
Direction: Lower is desirable ↓
Form: OptimalRange

Scoring Curve

This curve shows how a field measurement for this indicator would score across all available benchmark forms in this context. The scoring engine uses 6 benchmarks together — the OptimalRange form drives the primary score, while 5 guard(s) constrain the result.

Contributing Benchmarks

OptimalRange Primary MinimumOnly Guard LowerThreshold Guard MaximumOnly Guard Point Guard OptimalRange Guard

Evidence & Context

"To reduce deer populations, more than 35-40 per cent of animals must be removed each year."

Metric Definition:

Percentage of the total animal population culled annually.

Benchmark Definition:

This benchmark defines the optimal annual removal rate of invasive animal populations needed to control their spread.

Justification:

Necessary threshold to stem the spread and population growth of invasive herbivores.

Sources (1)

Preview of DCCEEW (2011). Nomination for feral deer as a key threatening process.
DCCEEW (2011). Nomination for feral deer as a key threatening process. Journal

DCCEEW (2011). Nomination for feral deer as a key threatening process.

View Source

Supporting Sources (5)

Additional references from the underlying research that informed this benchmark.

Preview of Frontiers in Forests and Global Change (2020). Non-native Forest Pests in Australia.
Frontiers in Forests and Global Change (2020). Non-native Forest Pests in Australia.
Direct Evidence Journal

Frontiers in Forests and Global Change (2020). Non-native Forest Pests in Australia.

View Source
Preview of Murray Region Forestry Hub (2025). Blackberry Strategic Plan and Actions.
Murray Region Forestry Hub (2025). Blackberry Strategic Plan and Actions.
Contextual Support GreyLiterature

Murray Region Forestry Hub (2025). Blackberry Strategic Plan and Actions.

View Source
Preview of Natural Resources Commission NSW (2022). Insights report - November 2022.
Natural Resources Commission NSW (2022). Insights report - November 2022.
Direct Evidence Journal

Natural Resources Commission NSW (2022). Insights report - November 2022.

View Source
Preview of Victorian Department of Environment, Land, Water and Planning (2015). Aquatic value identification and risk assessment manual.
Victorian Department of Environment, Land, Water and Planning (2015). Aquatic value identification and risk assessment manual.
Direct Evidence Journal

Victorian Department of Environment, Land, Water and Planning (2015). Aquatic value identification and risk assessment manual.

View Source
Preview of WA Department of Biodiversity, Conservation and Attractions (2009). Forest Health Surveillance Report.
WA Department of Biodiversity, Conservation and Attractions (2009). Forest Health Surveillance Report.
Direct Evidence Journal

WA Department of Biodiversity, Conservation and Attractions (2009). Forest Health Surveillance Report.

View Source

Context

  • Region Australia
  • Biome Alpine and Subalpine Complex
  • Land Use Production Forestry
  • Assessment Pristine Reference
  • Evidence Type RegulatoryTrigger

Lifecycle

  • Status Active
  • Version 1
  • Effective From 9 Apr 2026

Notes

Removal of less than this rate allows populations to expand unchecked.

Related Benchmarks

Other benchmarks in the AUS-ASC-FOR-ISP family.

14 % Moderate
Production Forestry · Conservation Target
Point Active v4
20 % Moderate
Production Forestry · Conservation Target
MaximumOnly Active v2
5 % Moderate
Production Forestry · Pristine Reference
Point Active v1
42 % Moderate
Production Forestry · Pristine Reference
Point Active v1
9 % Moderate
Production Forestry · Conservation Target
Point Superseded v3
6 % Moderate
Production Forestry · Conservation Target
Point Superseded v2
5 % Moderate
Production Forestry · Conservation Target
MaximumOnly Superseded v1
14 % Moderate
Production Forestry · Conservation Target
Point Superseded v1