Estimation of Asteraceae species richness by extrapolation from data of presence-absence
AbstractUsing label data of herbarium specimens of Mexican species belonging to four recently revised tribes of the family Asteraceae (Mutisieae, Senecioneae, Tageteae, and Vernonieae), richness patterns in the country of these tribes were estimated through extrapolation. The ICE (“Incidence-based Coverage Estimator”) non-parametric estimation technique, which is based on presence-absence data of species by area unit, was used. In total 553 species were analyzed; they account for 18.3% of the total Asteraceae species richness of Mexico and were represented by 24,304 specimen records from 14,714 different localities. Information for species was analyzed by dividing the country in cells or grid-squares of 1° latitude and longitude, and cells of 0.5°. The cells with the highest known species richness (hot spots) were identified, as well as those suggested by extrapolation as having a high estimated richness. Using the differences between estimated and observed richness by cell, those pinpointed as requiring urgent attention for future fieldwork were determined; they are considered to be important assuming that they include a proportionally larger number of species than those presently known, according to their estimated richness.
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