ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023
Theory and application of an improved species richness estimator.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Comparison between 16S rRNA and shotgun sequencing in colorectal cancer, advanced colorectal lesions, and healthy human gut microbiota.BMC genomics · 2024Article
- Theory and application of an improved species richness estimator.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Monitoring the fabric of nature: using allometric trophic network models and observations to assess policy effects on biodiversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- A framework for the detection and attribution of biodiversity change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Quantifying and estimating ecological network diversity based on incomplete sampling data.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Detecting and attributing the causes of biodiversity change: needs, gaps and solutions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Looking back on biodiversity change: lessons for the road ahead.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- The sizes of life.PloS one · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Species richness is an essential biodiversity variable indicative of ecosystem states and rates of invasion, speciation and extinction both contemporarily and in fossil records. However, limited sampling effort and spatial aggregation of organisms mean that biodiversity surveys rarely observe every species in the survey area. Here we present a non-parametric, asymptotic and bias-minimized richness estimator,
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