作者: Ulrich Brose
关键词: Statistics 、 Nonparametric statistics 、 Species diversity 、 Species richness 、 Ecology 、 Sampling (statistics) 、 Biodiversity 、 Global biodiversity 、 Estimator 、 Biology 、 Habitat 、 Soil science 、 Ecology, Evolution, Behavior and Systematics
摘要: Summary In consequence of accelerated applications new land-use systems, agricultural landscape research is challenged to provide results on their sustainability. Studies biodiversity that are carried out with minimal sampling programs have become increasingly popular. However, concerning insects, the observed number species in these studies underestimates true richness. such studies, non-parametric estimators might a more reliable tool gain information about The objective this paper evaluate how accurately and precisely estimates richness few pitfall samples correlate those higher intensity. This indicates much effort could be saved collecting data insect communities. carabid beetles at ten temporary wetlands East-German was surveyed by nine traps per site. Estimates were calculated scenarios four, five or six estimators, Chao2, Bootstrap, Jacknife1 Jacknife2, included study estimate each scenario, respectively. compared estimations based whole set. While Chao2 most accurate precise estimator, Bootstrap estimator performed only slightly better than species. 2 intermediately. Only conclusion, reduced site small habitats programs. possibilities carry efforts as well as, re-analyzing already out.