Authors / CoAuthors
Shimadzu, H. | Darnell, R.
Abstract
Sub-sampling is a commonly used technique to reduce the amount of time and effort for investigating biological specimens of, especially, a large quantity. However, it is not immediately clear how sub-sampling may affect the estimates of biodiversity measures such as species presence/absence, richness and abundance by using such sub-sampled data. This article quantifies the effect of sub-sampling as attenuation of the species abundance distribution. Its theoretical description is derived by accounting for the random sampling scheme of finite populations and is illustrated using sub-sampled data collected by a marine survey. It shows the theory and data are in agreement. Our method can be used to set benchmarks for sub-sampling schemes since the departure from this model estimates the unexpected bias peculiar to the sub-sampling scheme adopted. This quantification also enables the effect of sub-sampling to be incorporated into further model development for biodiversity estimates.
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nonGeographicDataset
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71564
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- External PublicationScientific Journal Paper
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
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2011-02-21T00:00:00
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