Lichen functional traits such as growth, photosynthetic and reproductive strategies, are considered indicators of changes in environmental conditions result- ing especially from air pollution. However, due to the high variability of lichen flora, it is often difficult to differentiate the effects of atmospheric pollutants and those of other environmental variables. The aim of this paper is to evaluate the synergistic effect of atmospheric pollutants and environmental variables on lichen functional groups distribution through a Bayesian generalized spatial regression model
A spatial regression model for predicting abundance of lichen functional groups
Pasquale ValentiniPrimo
;Tonio Di BattistaPenultimo
;
2021-01-01
Abstract
Lichen functional traits such as growth, photosynthetic and reproductive strategies, are considered indicators of changes in environmental conditions result- ing especially from air pollution. However, due to the high variability of lichen flora, it is often difficult to differentiate the effects of atmospheric pollutants and those of other environmental variables. The aim of this paper is to evaluate the synergistic effect of atmospheric pollutants and environmental variables on lichen functional groups distribution through a Bayesian generalized spatial regression modelFile in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
pearson-sis-book-2021-parte-1.pdf
accesso aperto
Tipologia:
PDF editoriale
Dimensione
21.86 MB
Formato
Adobe PDF
|
21.86 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.