Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-10T11:40:55.776Z Has data issue: false hasContentIssue false

Beta diversity and similarity of lichen communities as a sign of the times

Published online by Cambridge University Press:  08 May 2018

Paolo GIORDANI
Affiliation:
DIFAR, University of Genova, Viale Cembrano 4, 16148 Genova, Italy. Email: giordani@difar.unige.it
Giorgio BRUNIALTI
Affiliation:
TerraData Environmetrics, Spin Off Company of the University of Siena, V. L. Bardelloni 19, 58025 Monterotondo Marittimo (GR), Italy
Marco CALDERISI
Affiliation:
TerraData Environmetrics, Spin Off Company of the University of Siena, V. L. Bardelloni 19, 58025 Monterotondo Marittimo (GR), Italy
Paola MALASPINA
Affiliation:
DIFAR, University of Genova, Viale Cembrano 4, 16148 Genova, Italy. Email: giordani@difar.unige.it
Luisa FRATI
Affiliation:
TerraData Environmetrics, Spin Off Company of the University of Siena, V. L. Bardelloni 19, 58025 Monterotondo Marittimo (GR), Italy

Abstract

Currently, change in lichen community structure depends on a combination of several pollutants instead of just one. Consequently, alpha lichen diversity no longer represents an effective response variable for assessing trends in atmospheric pollutants over time. Here we investigated the value of the relationship between alpha diversity and different aspects of gamma diversity (similarity, replacement and differences in richness of species) together with that of beta diversity (calculated as the sum of replacement and difference in richness of species), for assessing complex variations in epiphytic lichen communities in response to a changing pollution scenario. We considered an area subjected to extreme variation in atmospheric pollution in recent decades and explored temporal and spatial aspects of lichen community succession over short-, intermediate- and long-term reference periods. We found that variation in lichen communities for long- and intermediate-term reference periods was strongly dependent on the alpha diversity of single trees at the beginning of the observation period. The occurrence of nitrophytic species, which responded to the decrease in SO2 concentrations, contribute to this trend. The effect of land use was observed only over long observation periods, with trees in urban areas showing less variation than those located in rural areas. In particular, the analysis of similarity, species replacement and differences in richness of tree pairs demonstrated that trends and patterns within lichen communities are neither always nor to the same extent associated with alpha diversity. Our results show that a thorough study of gamma diversity, including beta diversity and similarity, is required to detect changes in air quality in long-term biomonitoring surveys.

Type
Articles
Copyright
© British Lichen Society, 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adamska, E. (2011) Lichen recolonization in the city of Toruń. Ecological Questions 15: 119125.Google Scholar
Akaike, H. (1979) A Bayesian extension of the minimum AIC procedure of autoregressive model fitting. Biometrika 66: 237242.CrossRefGoogle Scholar
Asta, J., Erhardt, W., Ferretti, M., Fornasier, F., Kirschbaum, U., Nimis, P. L., Purvis, O. W., Pirintsos, S., Scheidegger, C., van Haluwyn, C. et al. (2002) Mapping lichen diversity as an indicator of environmental quality. In Monitoring with Lichens – Monitoring Lichens (P. L. Nimis, C. Scheidegger & P. A. Wolseley, eds): 273279. Dordrecht: Kluwer Academic Publishers.CrossRefGoogle Scholar
Baselga, A. (2010) Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography 19: 134143.Google Scholar
Bennett, J. P. & Wetmore, C. M. (1999) Changes in element contents of selected lichens over 11 years in northern Minnesota, USA. Environmental and Experimental Botany 41: 7582.Google Scholar
Cislaghi, C. & Nimis, P. L. (1997) Lichens, air pollution and lung cancer. Nature 387: 463464.Google Scholar
Frati, L. & Brunialti, G. (2006) Long-term biomonitoring with lichens: comparing data from different sampling procedures. Environmental Monitoring and Assessment 119: 391404.CrossRefGoogle ScholarPubMed
Giordani, P. (2006) Variables influencing the distribution of epiphytic lichens in heterogeneous areas: a case study for Liguria, NW Italy. Journal of Vegetation Science 17: 195206.Google Scholar
Giordani, P. (2007) Is the diversity of epiphytic lichens a reliable indicator of air pollution? A case study from Italy. Environmental Pollution 146: 317323.Google Scholar
Giordani, P. & Malaspina, P. (2017) Do tree-related factors mediate the response of lichen functional groups to eutrophication? Plant Biosystems 151: 10621072.CrossRefGoogle Scholar
Giordani, P., Brunialti, G. & Alleteo, D. (2002) Effects of atmospheric pollution on lichen biodiversity (LB) in a Mediterranean region (Liguria, NW-Italy). Environmental Pollution 118: 5364.Google Scholar
Giordani, P., Calatayud, V., Stofer, S., Seidling, W., Granke, O. & Fischer, R. (2014 a) Detecting the nitrogen critical loads on European forests by means of epiphytic lichens. A signal-to-noise evaluation. Forest Ecology and Management 311: 2940.CrossRefGoogle Scholar
Giordani, P., Matteucci, E., Redana, M., Ferrarese, A. & Isocrono, D. (2014 b) Unsustainable cattle load in alpine pastures alters the diversity and the composition of lichen functional groups for nitrogen requirement. Fungal Ecology 9: 6972.Google Scholar
Giordani, P., Rizzi, G., Caselli, A., Modenesi, P., Malaspina, P. & Mariotti, M. G. (2016) Fire affects the functional diversity of epilithic lichen communities. Fungal Ecology 20: 4955.Google Scholar
Hawksworth, D. L. & Rose, L. (1970) Qualitative scale for estimating sulphur dioxide air pollution in England and Wales using epiphytic lichens. Nature 227: 145148.CrossRefGoogle ScholarPubMed
Hultengren, S., Gralén, H. & Pleijel, H. (2004) Recovery of the epiphytic lichen flora following air quality improvement in south-west Sweden. Water, Air, and Soil Pollution 154: 203211.CrossRefGoogle Scholar
Larsen, R. S., Bell, J. N. B., James, P. W., Chimonides, J., Rumsey, F. J., Tremper, A. & Purvis, W. O. (2007) Lichen and bryophyte distribution on oak in London in relation to air pollution and bark acidity. Environmental Pollution 146: 332340.CrossRefGoogle ScholarPubMed
Legendre, P. & Gauthier, O. (2014) Statistical methods for temporal and space-time analysis of community composition data. Proceedings of the Royal Society of London B: Biological Sciences 281: 20132728.Google Scholar
Legendre, P., Daniel Borcard, D. & Peres-Neto, P. R. (2005) Analyzing beta diversity: partitioning the spatial variation of community composition data. Ecological Monographs 75: 435450.Google Scholar
Loppi, S., Frati, L., Paoli, L., Bigagli, V., Rossetti, C., Bruscoli, C. & Corsini, A. (2004) Biodiversity of epiphytic lichens and heavy metal contents of Flavoparmelia caperata thalli as indicators of temporal variations of air pollution in the town of Montecatini Terme (central Italy). Science of the Total Environment 326: 113122.CrossRefGoogle ScholarPubMed
Matos, P., Geiser, L., Hardman, A., Glavich, D., Pinho, P., Nunes, A., Soares, A. M. V. M. & Branquinho, C. (2017) Tracking global change using lichen diversity: towards a global-scale ecological indicator. Methods in Ecology and Evolution 8: 788798.Google Scholar
Nascimbene, J., Benesperi, R., Brunialti, G., Catalano, I., Dalle Vedove, M., Grillo, M., Isocrono, D., Matteucci, E., Potenza, G., Puntillo, D., et al. (2013) Patterns and drivers of β-diversity and similarity of Lobaria pulmonaria communities in Italian forests. Journal of Ecology 101: 493505.Google Scholar
Nascimbene, J., Lazzaro, L. & Benesperi, R. (2015) Patterns of β-diversity and similarity reveal biotic homogenization of epiphytic lichen communities associated with the spread of black locust forests. Fungal Ecology 14: 17.Google Scholar
Nimis, P. L. (2016) The Lichens of Italy. A Second Annotated Catalogue. Trieste: Edizioni Università di Trieste.Google Scholar
Nimis, P. L., Castello, M. & Perotti, M. (1990) Lichens as biomonitors of sulphur dioxide pollution in La Spezia (Northern Italy). Lichenologist 22: 333344.CrossRefGoogle Scholar
Nimis, P. L., Lazzarin, A., Lazzarin, G. & Gasparo, D. (1991) Lichens as bioindicators of air pollution by SO2 in the Veneto Region (NE Italy). Studia Geobotanica 11: 376.Google Scholar
Nimis, P. L., Scheidegger, C. & Wolseley, P. (eds) (2002) Monitoring with Lichens – Monitoring Lichens. Dordrecht: Kluwer Academic Publishers.Google Scholar
Pinho, P., Augusto, S., Branquinho, C., Bio, A., Pereira, M. J., Soares, A. & Catarino, F. (2004) Mapping lichen diversity as a first step for air quality assessment. Journal of Atmospheric Chemistry 49: 377389.Google Scholar
Podani, J. (2001) SYN-TAX 2000. Computer Programs for Data Analysis in Ecology and Systematics. User’s Manual. Budapest: Scientia.Google Scholar
Podani, J. & Schmera, D. (2011) A new conceptual and methodological framework for exploring and explaining pattern in presence-absence data. Oikos 120: 16251638.Google Scholar
Podani, J., Ricotta, C. & Schmera, D. (2013) A general framework for analyzing beta diversity, nestedness and related community-level phenomena based on abundance data. Ecological Complexity 15: 5261.Google Scholar
Purvis, A. & Hector, A. (2000) Getting the measure of biodiversity. Nature 405: 212219.CrossRefGoogle ScholarPubMed
R Core Team (2017) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/.Google Scholar
Richardson, D. H. S. (1993) Pollution Monitoring with Lichens. Slough: Richmond Publishing.Google Scholar
Seaward, M. (1993) Lichens and sulphur dioxide air pollution: field studies. Environmental Reviews 1: 7391.Google Scholar
van Dobben, H. F. & DeBakker, A. Y. (1996) Re-mapping epiphytic lichen biodiversity in the Netherlands: effects of decreasing SO2 and increasing NH3 . Acta Botanica Neerlandica 45: 5571.CrossRefGoogle Scholar
van Dobben, H. F. & ter Braak, C. J. F. (1998) Effects of atmospheric NH3 on epiphytic lichens in the Netherlands: the pitfalls of biological monitoring. Atmospheric Environment 32: 551557.Google Scholar
van Dobben, H. F. & ter Braak, C. J. F. (1999) Ranking of epiphytic lichen sensitivity to air pollution using survey data: a comparison of indicator scales. Lichenologist 31: 2739.Google Scholar
van Herk, C. M. (2001) Bark pH and susceptibility to toxic air pollutants as independent causes of changes in epiphytic lichen composition in space and time. Lichenologist 33: 415441.Google Scholar
Whittaker, R. H. (1960) Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs 30: 279338.Google Scholar
Whittaker, R. H. (1972) Evolution and measurement of species diversity. Taxon 21: 213251.Google Scholar