English

Diversity in Biology: definitions, quantification, and models

Populations and Evolution 2020-03-06 v2 Quantitative Methods

Abstract

Diversity indices are useful single-number metrics for characterizing a complex distribution of a set of attributes across a population of interest. The utility of these different metrics or sets of metrics depend on the context and application, and whether a predictive mechanistic model exists. In this topical review, we first summarize the relevant mathematical principles underlying heterogeneity in a large population before outlining the various definitions of `diversity' and providing examples of scientific topics in which its quantification plays an important role. We then review how diversity has been a ubiquitous concept across multiple fields including ecology, immunology, cellular barcoding experiments, and socioeconomic studies. Since many of these applications involve sampling of populations, we also review how diversity in small samples is related to the diversity in the entire population. Features that arise in each of these applications are highlighted.

Keywords

Cite

@article{arxiv.1908.08190,
  title  = {Diversity in Biology: definitions, quantification, and models},
  author = {Song Xu and Lucas Böttcher and Tom Chou},
  journal= {arXiv preprint arXiv:1908.08190},
  year   = {2020}
}

Comments

Revised, corrected, and in press, 22 pages, 9 figures, 1 table

R2 v1 2026-06-23T10:53:53.573Z