Abundance Calculators
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Measuring Absolute and Relative Abundance
Absolute abundance is the total count (or density) of individuals of each species. Relative abundance is the proportion of the community: pᵢ = nᵢ / N, where nᵢ is the count of species i and N is the total count of all species. Relative abundances sum to 1.0 across all species and are the basis for most diversity indices.
Rank Abundance Distribution (RAD)
A RAD plots species rank on the x-axis (most abundant = rank 1) against log relative abundance on the y-axis. The shape of the curve reveals community structure: a steep curve with a few dominant species and a long tail of rare species (geometric or log-series distribution) indicates a stressed or early-successional community. A flatter, more even curve (lognormal or broken-stick distribution) indicates a mature, diverse community.
Abundance Models
- Geometric distribution: One species preemptively dominates — typical in harsh environments
- Log-series distribution: A few dominants with many rare species — common in tropical insects and moth communities
- Lognormal distribution: The most common pattern in nature — most species at intermediate abundance
- Broken-stick model (MacArthur): Maximum evenness — rare in real communities
Abundance in Diversity Calculations
Shannon's H' = −Σ(pᵢ × ln pᵢ). Simpson's D = Σpᵢ². Both require relative abundance values. Communities with even abundance distributions have higher Shannon H' and lower Simpson D (lower dominance). Rarefaction curves — individual-based or sample-based — compare diversity estimates across communities of different sample sizes.
Glossary
Frequently Asked Questions
Relative abundance is the proportion of a community's total individuals that belong to a given species: pᵢ = nᵢ / N. For example, if a forest has 100 birds total — 40 robins, 35 sparrows, and 25 warblers — relative abundances are 0.40, 0.35, and 0.25. Relative abundances always sum to 1.0 and are used to calculate diversity indices like Shannon's H' and Simpson's D.
A rank abundance distribution (RAD) is a graph with species ranked from most to least abundant on the x-axis and log relative abundance on the y-axis. The shape of the curve reveals community structure. A steep drop after the most abundant species indicates few dominants and many rare species (log-series pattern, common in stressed environments). A gradual, even decline (lognormal pattern) indicates a more equitable distribution characteristic of diverse, mature communities.
Species richness is simply the number of species present in a community. Abundance describes how many individuals of each species are present. Two communities can have the same richness (same number of species) but very different abundance distributions — one might have 100 species with equal numbers of individuals (high evenness), while another might have 100 species where one species accounts for 90% of all individuals (low evenness, high dominance). Diversity metrics combine both richness and evenness.
Species counts (richness) treat all species as equally important regardless of how many individuals are present. Abundance data captures community structure — which species dominate, how even the distribution is, and how many rare species are present. This is critical for conservation: a community with 50 species where 48 are represented by single individuals is far more fragile than one where all 50 are equally abundant, even though both have the same richness.