Multivariate Correlation of Deposition Data of 8 Different Air Pollutants to Lichen Data in a Small Town in Switzerland

Ammann, Klaus; Herzig, Rolf; Liebendörfer, Luzius; Urech, Martin

doi:10.1007/978-3-0348-7491-5_68

Cited by 44 publications

(17 citation statements)

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“…At the end of the 80s the predictivity of 20 different methods with respect to instrumental pollution data was tested in Switzerland using multiple regression [1,5]. The highest correlation was found with the sum of frequencies of lichen species within a sampling grid of 10 units positioned on the trunks of free-standing trees.…”

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confidence: 99%

“…The bioindication method presented here is largely based on the Swiss approach [1,5], and on the German and the Italian guidelines [7,13], with several important modifications which were agreed upon during a meeting of the authors in Rome (November 2000), sponsored by the Italian National Agency for the Environment (ANPA). The main modifications concern several elements of subjectivity in the sampling process which were present in both of the original guidelines.…”

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confidence: 99%

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Mapping Lichen Diversity as an Indicator of Environmental Quality

Asta¹,

Erhardt²,

Ferretti

et al. 2002

Monitoring With Lichens — Monitoring Lichens

163

167

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mentioning

confidence: 99%

mentioning

confidence: 99%

Mapping Lichen Diversity as an Indicator of Environmental Quality

Asta¹,

Erhardt²,

Ferretti

et al. 2002

Monitoring With Lichens — Monitoring Lichens

163

167

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“…The number of individuals of the three lichen morphological groups must be identified: crustaceous, foliaceous and fruticose. The lichen indicators selected are the following: average number of different taxa identified per tree, species of each morphological group; Shannon-Weaver index considering the coverage of each species present; Index of Atmospheric Purity (IAP) (Amman et al, 1987) per tree species and per forest type. The IAP is obtained by the sum of the lichen presence frequency.…”

Section: Epiphytic Lichensmentioning

confidence: 99%

A long-scale biodiversity monitoring methodology for Spanish national forest inventory. Application to Álava region

2014

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Aim of study: In this study, a methodology has been designed to assess biodiversity in the frame of the Spanish National Forest Inventory with the aim of evaluating the conservation status of Spanish forests and their future evolution. This methodology takes into account the different national and international initiatives together with the different types and characteristics of forests in Spain.Area of study: Álava province (Basque country, Spain). Material and methods:To analyse the contribution of each of the different indices to the biodiversity assessment, a statistical analysis using PCA multivariate techniques was performed for structure, composition and dead wood indicators.Main results: The selected biodiversity indicators (based on field measurements) are presented along with an analysis of the results from four representative forest types in Álava by way of an example of the potential of this methodology.Research highlights: The statistical analysis revealed the important information contribution of Mingling index to the composition indicators. Regarding the structure indicators, it is remarkable the interest of using standard deviations and skewness of height and diameter as indicators. Finally it is interesting to point out the interest of assessing dead saplings since they provide additional information and their volume is a particularly useful parameter for analyzing the success of regeneration.

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“…Lichen diversity is described by a biodiversity index (LDV = Lichen Diversity Value) based on species frequency within a standard sampling grid positioned on a limited part of the trunks only (Asta et al 2002;Scheidegger et al 2002). This index, which takes into account both species richness and abundance, proved to be highly related with atmospheric pollution (Amman et al 1987), environmental quality (e.g. Castello and Skert 2005), and human health (Cislaghi and Nimis 1997).…”

Section: Introductionmentioning

confidence: 99%

Testing indicators of epiphytic lichen diversity: a case study in N Italy

2006

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The predictability of a standardized and widely used biomonitoring method for estimating total lichen diversity on trunks (LDV-index) was tested. The study was carried out in Veneto (NE Italy), on 34 randomly selected trees in five sites in different landscape contexts. Two sets of biodiversity data were obtained from each tree: (1) the LDV index based on species frequency within a standard sampling grid positioned on a limited part of the trunks only (2) the total number of species found on the trunks. Total species richness on trunks is significantly related with the LDV index, which suggests that the LDV standard methodology can be used also for estimates of lichen diversity. Even a LDV index based on macrolichens, or on large-lobed foliose lichens only, still permits reliable estimates of total diversity on the trunks.

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Multivariate Correlation of Deposition Data of 8 Different Air Pollutants to Lichen Data in a Small Town in Switzerland

Cited by 44 publications

References 0 publications

Mapping Lichen Diversity as an Indicator of Environmental Quality

Mapping Lichen Diversity as an Indicator of Environmental Quality

A long-scale biodiversity monitoring methodology for Spanish national forest inventory. Application to Álava region

Testing indicators of epiphytic lichen diversity: a case study in N Italy

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