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• W2891840578 startingPage "e0203540" @default.
• W2891840578 abstract "Although lichenized fungi are among the most reliable indicators of forest quality and represent a considerable part of forest biodiversity, methods maximizing completeness of their species lists per area are lacking. Employing a novel methodological approach including a multi-expert competition and a search for local hot-spot plots, we have obtained outstanding data about epiphytic lichen biota in a part of the largest Central European virgin forest reserve Uholka–Shyrokyi Luh situated in Ukrainian Carpathians. Our field research consisted of two four-day periods: (1) an overall floristic survey and a search for spots with raised lichen diversity, and (2) survey in four one-hectare plots established in lichen diversity hot-spots along an altitudinal gradient. Recorded alpha-diversities in plots ranged from 181–228 species, but estimated species richness is in the range 207–322 species. Detected gamma-diversity was 387 species; estimates are 409–484 species. 93% of the species found in the forest were recorded in plots, but only 65% outside the plots. This underlines the high-efficiency of the multi-expert competitive survey in diversity hot-spot plots. Species richness in each one-hectare plot was equal to the numbers of species obtained by floristic surveys of much larger old-growth forest areas in Central Europe. Gamma-diversity detected in the Uholka primeval forest far exceeded all numbers achieved in Central European old-growth forests. Our method appears to be both effective (it obtains a more nearly complete inventory of species) and practical (the resources required are not unreasonably large)." @default.
• W2891840578 created "2018-09-27" @default.
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• W2891840578 date "2018-09-13" @default.
• W2891840578 modified "2023-10-17" @default.
• W2891840578 title "Exploiting hot-spots; effective determination of lichen diversity in a Carpathian virgin forest" @default.
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• W2891840578 doi "https://doi.org/10.1371/journal.pone.0203540" @default.
• W2891840578 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6136740" @default.
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• W2891840578 hasPublicationYear "2018" @default.
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