Camera Trap Detection Rate

AUS-ASC-LVG-CTR General High confidence

Benchmark Value

1.2 detections per 100 trap-nights

Direction: Higher is desirable ↑

Form: Point

Scoring Curve

Scoring curve unavailable

The scoring engine could not generate a curve for this benchmark context. The primary form is Point, but the benchmark data may be missing required fields (e.g., optimal range bounds for an OptimalRange benchmark). This is typically a data quality issue in the benchmark pipeline.

Evidence & Context

Spotted-tailed Quoll ... Activity: 1.2 (±0.4)

Metric Definition:

Index of unique spotted-tailed quoll (Dasyurus maculatus) detections (30-minute interval) per 100 camera trap-nights.

Benchmark Definition:

Reference condition camera trap detection rate for spotted-tailed quoll in wet and dry sclerophyll forest formations.

Justification:

Authoritative measurement of a native apex carnivore, representing a key biodiversity target for landscape-scale management in southeastern Australia.

Sources (1)

Preview of Ecological Health Performance Scorecard: Kosciuszko National Park 202223 - Environment and Heritage

Ecological Health Performance Scorecard: Kosciuszko National Park 202223 - Environment and Heritage Journal

Kosciuszko National Park 2022–23 Scorecard

View Source

Supporting Sources (7)

Additional references from the underlying research that informed this benchmark.

Detection and occupancy modelling of invasive deer in Namadgi National Park - ANU Open Research - The Australian National University

Irrelevant

Detection and occupancy modelling of invasive deer in Namadgi National Park - ANU Open Research - The Australian National University

View Source

Ecological Health Performance Scorecard: Kosciuszko National ...

Direct Evidence Journal

National Parks and Wildlife Service, 2024. Royal and Heathcote National Parks and Garawarra State Conservation Area 2022-23 Scorecard Report.

View Source

Great Divide Northern Forests (2023–24) Scorecard Report

Contextual Support Journal

Ecological Health Performance Scorecard report: Great Divide ...

View Source

NPWS feral cat monitoring protocol - Environment and Heritage

Contextual Support Journal

NSW Forest Monitoring and Improvement Program - Macquarie University

View Source

Optimising Camera Trap Surveys for the Rocky Landform Specialists of the Mount Isa Inlier, Queensland, Australia - PMC

Methodology Source Journal

Griffiths, J., et al. (2025). Investigating the use of eDNA for detecting platypuses across various environmental conditions in Kosciuszko National Park, New South Wales. Australian Mammalogy.

View Source

Putting rakali in the spotlight: innovative methods for detecting an elusive semi-aquatic mammal - ResearchGate

Contextual Support GreyLiterature

Putting rakali in the spotlight: innovative methods for detecting an elusive semi-aquatic mammal - ResearchGate

View Source

Preview of Who Eats the Grass? Grazing Pressure and Interactions Between Wild Kangaroos, Feral Goats and Rabbits, and Domestic Sheep on an Arid Australian Rangeland - MDPI

Who Eats the Grass? Grazing Pressure and Interactions Between Wild Kangaroos, Feral Goats and Rabbits, and Domestic Sheep on an Arid Australian Rangeland - MDPI

Contextual Support Journal

Who Eats the Grass? Grazing Pressure and Interactions Between Wild Kangaroos, Feral Goats and Rabbits, and Domestic Sheep on an Arid Australian Rangeland - MDPI

View Source

Context

Region Australia
Biome Alpine and Subalpine Complex
Land Use Livestock Grazing & Pasture
Assessment Conservation Target
Vegetation Forest
Evidence Type ReferenceCondition

Lifecycle

Status Active
Version 1
Effective From 16 Jun 2026

Notes

Standard error is ±0.4.

Related Benchmarks

Other benchmarks in the AUS-ASC-LVG-CTR family.