Species evenness describes the commonness or rarity of a species; it requires knowing the abundance of each species relative to those of the other species within the community. Abundance values can be difficult to obtain. Area-based counts, distance methods, and mark–recapture studies are the three general categories of methods for estimating abundance. Species evenness is combined with species richness, (the number of species in the community), in order to determine species diversity, which is an important measure of community structure. Community structure in turn provides the quantitative basis needed to create hypotheses and experiments that help to increase understanding of how communities work. To demonstrate the contributions of species richness and species evenness to species diversity, consider the following hypothetical example, in which there are two meadow communities, each containing four species of butterflies. Hence, both communities have the same butterfly species richness, however their species evenness differs. In community A, one of the species constitutes 80% of the individuals in the community, while the remaining three species comprise only 20% of the individuals in the community. Community A therefore has low species evenness. In community B, the number of individuals are evenly divided among the four species, (25% each), so species evenness in community B is high. Thus, when comparing the two communities, even though each has the same species richness of four species, community B has the higher species diversity because it has higher species evenness. The Shannon index is the most commonly used way to quantitatively determine species diversity, H, as modeled by the following equation: The Shannon index factors in both species evenness and species richness, as represented by the variables pi and s, respectively. The lowest possible value of H is zero, and the higher a community’s H value, the greater its species diversity.

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