2014
DOI: 10.1080/11263504.2013.870251
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Woody flora as a predictor of vascular plant richness: An insight in Italy

Abstract: A key problem in quantifying biodiversity is whether it is possible to infer the overall diversity using suitable data subsets. The aim of this article, based on the updated data on the native woody flora of Italy, is to evaluate the reliability of such data as a predictor of vascular plant richness at a medium scale represented by the 20 administrative regions. Woody taxa were divided in trees, shrubs and lianas. We used stepwise multiple regression and principal component analysis to analyse the correlation … Show more

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Cited by 10 publications
(7 citation statements)
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“…To further assure the consistency of the dataset, we selected 12,781 vegetation plots (i) sampled after 1980; (ii) with a cover of tree species collectively greater than 30%; (iii) with plot size greater or equal to 100 m 2 . We replicated the analysis across 10 subregions by aggregating neighbouring phytogeographical districts (Kaplan, 2012), as these are more suitable to explore diversity patterns than administrative units (Abbate et al 2015). Each subregion encompassed an average surface of 5,155 km 2 (range 1,666-10,862) and ranged from lowlands to mountaintops or to the alpine timberline at 1200-1400 m ( Fig.…”
Section: Study Area and Vegetation Datamentioning
confidence: 99%
“…To further assure the consistency of the dataset, we selected 12,781 vegetation plots (i) sampled after 1980; (ii) with a cover of tree species collectively greater than 30%; (iii) with plot size greater or equal to 100 m 2 . We replicated the analysis across 10 subregions by aggregating neighbouring phytogeographical districts (Kaplan, 2012), as these are more suitable to explore diversity patterns than administrative units (Abbate et al 2015). Each subregion encompassed an average surface of 5,155 km 2 (range 1,666-10,862) and ranged from lowlands to mountaintops or to the alpine timberline at 1200-1400 m ( Fig.…”
Section: Study Area and Vegetation Datamentioning
confidence: 99%
“…We selected the following floristic and vegetation indicators: (i) the floristic consistency of the communities detected (JNCC 2004, BfN 2006, Calleja 2009, Carnino 2009 with the vegetation of reference, by comparing the presence of diagnostic and frequent species for the alliances (Biondi et al 12 2014; http://www.prodromo-vegetazione-italia.org/); (ii) the presence and cover of exotic species, which reduce the degree of naturalness (JNCC 2004, Carnino 2009; (ii) the native tree species richness, which is particularly marked in Italian old-growth forests (Burrascano et al 2009), and known to be a good proxy for the total richness (Abbate et al 2015); (iv) the presence of species of biogeographic or conservation interest, selected from Red Lists and other lists of protected or rare species (Table 3), which highlight the peculiarities of the site (BfN 2006). (Conti et al 1992, Rossi et al 2013 We tested the parameters we selected on a training dataset, i.e.…”
Section: Threshold Value Assessmentmentioning
confidence: 99%
“…Such a direct impact on understorey vegetation is of particular concern, since the herb-layer may account for up to 80% of plant species in forests, i.e., an important share of forest overall biological diversity (Gilliam 2007, Abbate et al 2015.…”
Section: Introductionmentioning
confidence: 99%