Camera Trap Detection Rate
Benchmark Value
Scoring Curve
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
Long-nosed Bandicoot ... Activity 1.7 (±0.4)
Standardized index of unique long-nosed bandicoot (Perameles nasuta) detections (30-minute independence interval) per 100 camera trap-nights.
Reference condition camera trap detection rate for long-nosed bandicoot in forest and grassy woodland complexes.
Direct measurement from the high-condition conservation areas of Kosciuszko National Park, representing target densities for understorey-dependent native marsupials.
Sources (1)
Kosciuszko National Park 2022–23 Scorecard
View SourceSupporting 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
View SourceNational Parks and Wildlife Service, 2024. Royal and Heathcote National Parks and Garawarra State Conservation Area 2022-23 Scorecard Report.
View SourceEcological Health Performance Scorecard report: Great Divide ...
View SourceNSW Forest Monitoring and Improvement Program - Macquarie University
View SourceGriffiths, 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 SourcePutting rakali in the spotlight: innovative methods for detecting an elusive semi-aquatic mammal - ResearchGate
View SourceWho 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