Davide Attolini

Dr. Davide Attolini


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2023 in Quaternary International
Verified
Journal Article
Open access
AMAlessandra Modi
Alessandra Modi
DADavide Attolini
Davide Attolini
VZValentina Zaro
Valentina Zaro
LPLisa Pisaneschi
Lisa Pisaneschi
GIGabriel Innocenti
Gabriel Innocenti
MLMartina Lari
Martina Lari

10 February 2023 in Flora
Verified
Journal Article
Open access
DADavide Attolini
Davide Attolini
LPL. Pattelli
L. Pattelli
SNS. Nocentini
S. Nocentini
DWD.S. Wiersma
D.S. Wiersma
CTC. Tani
C. Tani
MLM. Mariotti Lippi
M. Mariotti Lippi

9 June 2023 in Quaternary
Verified
Journal Article
Open access
PDF file
DADavide Attolini
Davide Attolini
FCFrancesco Ciani
Francesco Ciani
MGMaria Angela Guido
Maria Angela Guido
CMCarlo Alessandro Montanari
Carlo Alessandro Montanari
This research focuses on the recent pollen image of several vegetation types in NW Italy. In 201 arboreal, shrubby, and herbaceous plant populations, pollen samples were taken from moss polsters, and the corresponding vegetation was recorded using the phytosociological method. Since studies on recent pollen rain in the Mediterranean mountains and coast are rare, this research aims to provide new data and tools to better interpret fossil pollen spectra. Pollen analysis provided data for the comparison between surface spectra and vegetation. Davis indices, fidelity, dispersion, and the relation with vegetation data were calculated for each taxon, and PCA was carried out. Most vegetation types are identifiable through the taxa dominating the pollen spectra, as frequently happens in woodlands (e.g., beech woods, chestnut woods, etc.). Characterizing shrubland and certain tree-dominated vegetation types (e.g., Larix forests) through pollen data is more complex. In this regard, Davis indices are particularly useful for identifying pollen/plant association, over- and underrepresentation of pollen, and taxa indicating vegetation types. Pollen threshold values were calculated which allow the assessment of the local presence of a plant. Overall, the achieved results partially confirm those of previous research carried out in the region, greatly expanding the comparisons between several different plant communities and the database in view of future sharing through the EMPD.