Differentiating diversity among different land cover types in the eastern Amazon

Abstract

Measurements of biodiversity can be used to assess the scale of anthropogenic impact and predict species loss. A great number of diversity measures exist involving species richness and relative abundance that differ in how they are calculated. The choice of the adequate biodiversity measure to compare biological communities poses a challenge. The aim of this study was to evaluate the ability of 26 diversity measures to differentiate land cover types in the eastern Brazilian Amazon. Diversity was inventoried and quantified in three vertical strata in six locally dominant land cover types: primary and secondary forests, agroforestry systems, oil palm plantations, annual croplands and pastures. No diversity measure was able to differentiate all land cover types in every stratum. Fisher’s alpha was able to differentiate cover types in the middle and upper strata, while Smith-Wilson and Jentsch’s mixture quotient were able to differentiate in the lower and upper strata, and heterogeneity indices only differentiated in the upper stratum. The distinction and ranking of plant diversity among land covers depended on the diversity measure chosen. The number and types of land cover and vertical strata were a key factor in the ability of the diversity measure to differentiate among them.