Abundance‐Based Similarity Indices and Their Estimation When There Are Unseen Species in Samples
National Tsing Hua University · University of Connecticut · +1 more institution
Abstract
A wide variety of similarity indices for comparing two assemblages based on species incidence (i.e., presence/absence) data have been proposed in the literature. These indices are generally based on three simple incidence counts: the number of species shared by two assemblages and the number of species unique to each of them. We provide a new probabilistic derivation for any incidence-based index that is symmetric (i.e., the index is not affected by the identity ordering of the two assemblages) and homogeneous (i.e., the index is unchanged if all counts are multiplied by a constant). The probabilistic approach is further extended to formulate abundance-based indices. Thus any symmetric and homogeneous…
Citation impact
- FWCI
- 10.78
- Percentile
- 100%
- References
- 37
Authors
4Topics & keywords
- Estimator
- Abundance (ecology)
- Similarity (geometry)
- Statistics
- Homogeneous
- Mathematics
- Laplace's method
- Index (typography)
- Life in Land