Testing species-richness estimation methods on single-sample collection data using the Danish Diptera

摘要: Estimating species richness through extrapolation is becomingincreasingly important for conservation decision making. We present the resultsof a first test of four abundance-based estimation procedures, ACE, Chao1, Lognormal and Poisson lognormal based on single-sample museum collection data consisting more than 150000specimens 47 families Danish Diptera. All estimators considerablyunderestimate true as assessed by distributions, expertopinions, species–area curve. In our samples 3326 wererepresented. The different predicted fauna to consist of3490–3805 species, although at least 4361 are already known from theliterature. Expert opinion curve indicate that theDanish likely contains 5400–5800 species. lognormalmethod displays rather erratic behavior, but nonetheless performs slightlybetter other estimators. discuss inherent problems concerningthe use in this context well influence patchydistributions sample size estimator performance. conclude thatabundance-based should preferably be applied almost completesamples randomly distributed organisms.