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 4 benchmarks together — the OptimalRange form drives the primary score, while 3 guard(s) constrain the result.

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 culling rate required to effectively reduce invasive animal populations in managed forests.

Justification:

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

Sources (1)

Preview of Motion on recreational hunting and invasive deer management
Motion on recreational hunting and invasive deer management Government

Motion on recreational hunting and invasive deer management

View Source

Supporting Sources (8)

Additional references from the underlying research that informed this benchmark.

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

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

View Source
Preview of Ecological assessments for WildCount - TEF
Ecological assessments for WildCount - TEF
Direct Evidence Government

DCCEEW (2024). Bushfire recovery for wildlife and their habitat - Phase 2 Recovery and Resilience funded projects.

View Source
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 Great Divide Northern Forests (2023–24) Scorecard Report
Great Divide Northern Forests (2023–24) Scorecard Report
Direct Evidence Journal

Great Divide Northern Forests (2023–24) Scorecard Report

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 Conservation Target
  • Evidence Type RegulatoryTrigger

Lifecycle

  • Status Active
  • Version 1
  • Effective From 10 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
Point Active v4
58 % Moderate
Point Active v4
5 % High
MaximumOnly Active v3
% Moderate
OptimalRange Active v2
14 % Moderate
Point Active v2
6 % Moderate
Point Active v2
9 % Moderate
Point Active v2
14 % Moderate
Point Active v2
42 % Moderate
Point Active v1
42 % Moderate
Point Active v1
5 % Moderate
MaximumOnly Proposed v4
20 % Low
MaximumOnly Proposed v4
20 % Moderate
MaximumOnly Proposed v4
9 % Moderate
Point Superseded v3
5 % Moderate
Point Superseded v3
42 % Low
Point Proposed v2
5 % Moderate
Point Superseded v2
20 % Moderate
MaximumOnly Superseded v2
6 % Moderate
Point Superseded v2
5 % Moderate
MaximumOnly Superseded v1
14 % Moderate
Point Superseded v1
% Moderate
OptimalRange Superseded v1
5 % Moderate
Point Superseded v1
14 % Moderate
Point Superseded v1
6 % Moderate
Point Superseded v1
9 % Moderate
Point Superseded v1
14 % Moderate
Point Superseded v1