Beyond species area curves: a theoretical approach to the relationship between diversity and area

Abstract

Species area curves, which describe the number of species present as a function of area, have long been used to understand biodiversity and inform conservation efforts. While understanding the number of species is important, it leaves out information about the population sizes of each species. In this work, we examine the relationship between the effective number of species from different diversity indices, like Simpson's index and the Shannon index, and area. These effective number of species are also referred to as Hill numbers. Using a spatial and neutral model that has previously been used to understand species area curves, we show through a combination of theory and simulations that the relationship between the effective number of species and area is linear when the area is sufficiently large and resembles a power law for smaller areas.

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BibTeX RIS

BibTeX

@misc{tung2026beyond,
  title = {{Beyond species area curves: a theoretical approach to the relationship between diversity and area}},
  author = {Hwai-Ray Tung and Simon A Levin},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.02365},
  eprint = {2609.02365},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.02365},
}

RIS

TY  - UNPB
TI  - Beyond species area curves: a theoretical approach to the relationship between diversity and area
AU  - Hwai-Ray Tung
AU  - Simon A Levin
PY  - 2026
DA  - 2026/09/02
PB  - arXiv
DO  - 10.48550/arxiv.2609.02365
UR  - https://arxiv.org/abs/2609.02365
AB  - Species area curves, which describe the number of species present as a function of area, have long been used to understand biodiversity and inform conservation efforts. While understanding the number of species is important, it leaves out information about the population sizes of each species. In this work, we examine the relationship between the effective number of species from different diversity indices, like Simpson's index and the Shannon index, and area. These effective number of species are also referred to as Hill numbers. Using a spatial and neutral model that has previously been used to understand species area curves, we show through a combination of theory and simulations that the relationship between the effective number of species and area is linear when the area is sufficiently large and resembles a power law for smaller areas.
ER  -

Abstract

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