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Modelling the response of urban lichens to broad-scale changes in air pollution and climate.
Rocha, Bernardo; Matos, Paula; Giordani, Paolo; Piret, Lõhmus; Branquinho, Cristina; Casanelles-Abella, Joan; Aleixo, Cristiana; Deguines, Nicolas; Hallikma, Tiit; Laanisto, Lauri; Moretti, Marco; Alós Ortí, Marta; Samson, Roeland; Tryjanowski, Piotr; Pinho, Pedro.
Afiliação
  • Rocha B; cE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, FCUL, Campo Grande, 1749-016, Lisboa, Portugal.
  • Matos P; CEG - Centro de Estudos Geográficos do Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa, 1600-276, Lisboa, Portugal. Electronic address: paula.matos@edu.ulisboa.pt.
  • Giordani P; DIFAR, University of Genova, Italy.
  • Piret L; Institute of Ecology and Earth Science, University of Tartu, J. Liivi st. 2, Tartu, EE50409, Estonia.
  • Branquinho C; cE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, FCUL, Campo Grande, 1749-016, Lisboa, Portugal.
  • Casanelles-Abella J; Biodiversity and Conservation Biology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland; Ecosystems and Landscape Evolution, Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zürich, 8049, Zürich, Switzerland.
  • Aleixo C; cE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, FCUL, Campo Grande, 1749-016, Lisboa, Portugal.
  • Deguines N; Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, Orsay, France; Université de Poitiers, CNRS, EBI, Poitiers, France.
  • Hallikma T; Chair of Biodiversity and Nature Tourism, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 5, 51006, Tartu, Estonia.
  • Laanisto L; Chair of Biodiversity and Nature Tourism, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 5, 51006, Tartu, Estonia.
  • Moretti M; Biodiversity and Conservation Biology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.
  • Alós Ortí M; Chair of Biodiversity and Nature Tourism, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 5, 51006, Tartu, Estonia.
  • Samson R; Laboratory of Environmental and Urban Ecology, Department of Bioscience Engineering, University of Antwerp, 2020, Antwerpen, Belgium.
  • Tryjanowski P; Department of Zoology, Poznan University of Life Sciences, Woska Polskiego 71C, 60-625, Poznan, Poland.
  • Pinho P; cE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, FCUL, Campo Grande, 1749-016, Lisboa, Portugal.
Environ Pollut ; 315: 120330, 2022 Dec 15.
Article em En | MEDLINE | ID: mdl-36274289
ABSTRACT
To create more resilient cities, it is important that we understand the effects of the global change drivers in cities. Biodiversity-based ecological indicators (EIs) can be used for this, as biodiversity is the basis of ecosystem structure, composition, and function. In previous studies, lichens have been used as EIs to monitor the effects of global change drivers in an urban context, but only in single-city studies. Thus, we currently do not understand how lichens are affected by drivers that work on a broader scale. Therefore, our aim was to quantify the variance in lichen biodiversity-based metrics (taxonomic and trait-based) that can be explained by environmental drivers working on a broad spatial scale, in an urban context where local drivers are superimposed. To this end, we performed an unprecedented effort to sample epiphytic lichens in 219 green spaces across a continental gradient from Portugal to Estonia. Twenty-six broad-scale drivers were retrieved, including air pollution and bio-climatic variables, and their dimensionality reduced by means of a principal component analysis (PCA). Thirty-eight lichen metrics were then modelled against the scores of the first two axes of each PCA, and their variance partitioned into pollution and climate components. For the first time, we determined that 15% of the metric variance was explained by broad-scale drivers, with broad-scale air pollution showing more importance than climate across the majority of metrics. Taxonomic metrics were better explained by air pollution, as expected, while climate did not surpass air pollution in any of the trait-based metric groups. Consequently, 85% of the metric variance was shown to occur at the local scale. This suggests that further work is necessary to decipher the effects of climate change. Furthermore, although drivers working within cities are prevailing, both spatial scales must be considered simultaneously if we are to use lichens as EIs in cities at continental to global scales.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Líquens Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Líquens Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article