eDNA Biodiversity Detection
Benchmark Value
Scoring Curve
The scoring engine could not generate a curve for this benchmark context. The primary form is CompositeFramework, 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.
Contributing Benchmarks
Evidence & Context
The key finding of this study was the detection of 36 vertebrate taxa from water samples, a figure which included 34 families, 19 orders, and 5 distinct classes of vertebrates (e.g., mammals, birds, reptiles, amphibians, fish).8
Number of vertebrate taxa detected by eDNA metabarcoding from water samples in arid zone waterholes.
This benchmark represents the highest vertebrate biodiversity detected by eDNA in water samples from arid mountain ranges and uplands in Australia under livestock grazing, reflecting a conservation target for ecological health.
This benchmark is based on the Furlan et al. (2020) study conducted in low-impact arid zone waterholes, representing a high-integrity ecological state relevant to the target biome and land use.
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Additional references from the underlying research that informed this benchmark.
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