We tested the use of non-parametric estimators of species richness to evaluate the flora of a relatively large (431 ha) nature reserve, using a sampling area much lower than that used in previous studies. Different estimation methods were applied to floristic data obtained from 50 random plots: the number of observed species, the extrapolated accumulation curves based on the Michaelis–Menten model and the non-parametric estimators based on incidence data (Chao2, first-order Jackknife, second-order Jackknife and bootstrap). To test the performance of the estimators, five data sets were created on the basis of life-forms. The estimates were compared with reference values obtained by traditional floristic and vegetation sampling. The power of the different estimation methods could not definitively be determined, but the first- and second-order Jackknives seem to be the most precise. Although total species richness was underestimated, the sample-based approach provided accurate information for quantitative comparison of time series of data related to ecological changes, vegetation dynamics and environmental changes. This sample-based data included basic statistics on species richness and species frequency distributions as well as the life-form spectrum, at the plot and the whole site scales.
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|Titolo:||Evaluation and monitoring of the flora in a nature reserve by estimation methods|
|Citazione:||Chiarucci, A., Maccherini, S., & DE DOMINICIS, V. (2001). Evaluation and monitoring of the flora in a nature reserve by estimation methods. BIOLOGICAL CONSERVATION, 101(3), 305-314.|
|Appare nelle tipologie:||1.1 Articolo in rivista|