Reliability of different sampling densities for estimating and mapping lichen diversity in biomonitoring studies
| Autor: | E Brambilla, F. Fornasier, C Mazzali, Marco Ferretti, Pier Luigi Nimis, Giorgio Brunialti, Paolo Giordani |
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| Přispěvatelé: | Ferretti, M., Brambilla, E., Brunialti, G., Fornasier, F., Mazzali, C., Giordani, P., Nimis, Pierluigi |
| Rok vydání: | 2004 |
| Předmět: |
Design
Lichens Cost-Benefit Analysis Health Toxicology and Mutagenesis Population Air pollution Lichen Toxicology Approximation error Biomonitoring Sampling design Statistics Biodiversity Mapping Sampling education Reliability (statistics) Mathematics Air Pollutants education.field_of_study Reproducibility of Results Sampling (statistics) General Medicine Pollution Research Design Scale (map) Environmental Monitoring Interpolation |
| Zdroj: | Environmental Pollution. 127:249-256 |
| ISSN: | 0269-7491 |
| Popis: | Sampling requirements related to lichen biomonitoring include optimal sampling density for obtaining precise and unbiased estimates of population parameters and maps of known reliability. Two available datasets on a sub-national scale in Italy were used to determine a cost-effective sampling density to be adopted in medium-to-large-scale biomonitoring studies. As expected, the relative error in the mean Lichen Biodiversity (Italian acronym: BL) values and the error associated with the interpolation of BL values for (unmeasured) grid cells increased as the sampling density decreased. However, the increase in size of the error was not linear and even a considerable reduction (up to 50%) in the original sampling effort led to a far smaller increase in errors in the mean estimates ( |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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