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This study demonstrates that predictive species distribution modelling approaches can be used to accurately model and map sparse species distribution data across marine landscapes.
Resampling the local assemblage would result in a dilution effect in which the relative abundance of sparse species decreases as new samples are added, producing an excess of rare species.
This could produce a high number of complete genomes of sparse species, showing that merely counting the number of singletons in an assembly is a very crude way to compare assemblies.
In the former case, no genomes may be assembled at all, while in the latter case a few dominant species in an environment will always be sequenced at high coverage to the detriment of coverage of the greater number of sparse species.
Although mainly used for estimating stand volume by selecting sample trees with a probability proportional to their estimated volume, it has also been used for estimating sparse species (Ringvall and Kruys, 2005) and needle mass (Eckmüllner and Sterba, 2000).
One of the strongest generalisations is the positive relationship between density and distribution within a given taxonomic assemblage; that is, locally abundant species are more widespread than locally sparse species.
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This may give insight into ancestral genes for economically important traits and adds information to accelerate fine-mapping in the QTL information-sparse species.
The district is covered by sparse Acacia species and extensive grazing land [ 16].
Datasets ranged from species-rich/data-sparse (409 species represented by at least one of 10 loci) to species-limited/data-rich (17 species contributing at least 9 of 10 loci).
At a time when CBBC has lost its BBC1 slot and original children's programming is so sparse – an "endangered species", as Davies himself has called it – that's a risk worth taking.
Reedbeds can be dense, with Phragmites highly dominant, or sparse with other species admixed.
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