Evaluating the sampling bias in pattern of subterranean species richness: combining approaches

Citation

Material Information

Title:
Evaluating the sampling bias in pattern of subterranean species richness: combining approaches
Series Title:
Biodiversity and Conservation
Creator:
Zagmajster, Maja
Culver, David C.
Christman, Mary C.
Sket, Boris
Publisher:
Springer
Publication Date:
Language:
English

Subjects

Subjects / Keywords:
Biodiversity ( local )
Northwestern Balkans ( local )
Obligate Cave Beetles ( local )
Residual Analysis ( local )
Sampling Intensity ( local )
Species Richness Hotspots ( local )
Terrestrial Troglobionts ( local )
Uniques ( local )
Genre:
serial ( sobekcm )

Notes

Abstract:
We investigated the pattern of species richness of obligate subterranean (troglobiotic) beetles in caves in the northwestern Balkans, given unequal and biased sampling. On the regional scale, we modeled the relationship between species numbers and sampling intensity using an asymptotic Clench (Michaelis–Menten) function. On the local scale, we calculated Chao 2 species richness estimates for 20 × 20 km grid cells, and investigated the distribution of uniques, species found in only one cave within the grid cell. Cells having high positive residuals, those with above average species richness than expected according to the Clench function, can be considered true hotspots. They were nearly identical to the observed areas of highest species richness. As sampling intensity in a grid cell increases the expected number of uniques decreases for any fixed number of species in the grid cell. High positive residuals show above average species richness for a certain level of sampling intensity within a cell, so further sampling has the most potential for additional species. In some cells this was supported by high numbers of uniques, also indicating insufficient sampling. Cells with low negative residuals have fewer species than would be expected, and some of them also had a low number of uniques, both indicating sufficient sampling. By combining different analyses in a novel way we were able to evaluate observed species richness pattern as well as identify, where further sampling would be most beneficial. Approach we demonstrate is of broad interest to study of biota with high levels of endemism, small distribution ranges and low catchability.
Original Version:
Biodiversity and Conservation, Vol. 19, no. 11 (2010-07-06).

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University of South Florida Library
Holding Location:
University of South Florida
Rights Management:
This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the bounds of Fair Use or other exemptions to copyright law must be obtained from the copyright holder.

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