Quantitative reconstructions of quaternary climates using pollen: assumptions, numerical techniques and calibration datasets

Autor: Pini, R., Badino, F., Amicis, M., Furlanetto, G., Maggi, V., Ravazzi, C., Francesca Vallé
Přispěvatelé: Pini, R, Badino, F, De Amicis, M, Furlanetto, G, Maggi, V, Ravazzi, C, Vallè, F
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Scopus-Elsevier
Convegno AIQUA "Il Quaternario: Passato, Presente, Futuro", pp. 155–159, Firenze, 13-14 giugno 2018
info:cnr-pdr/source/autori:Pini R., Badino F., De Amicis M., Furlanetto G., Maggi V., Ravazzi C., Vallè F./congresso_nome:Convegno AIQUA "Il Quaternario: Passato, Presente, Futuro"/congresso_luogo:Firenze/congresso_data:13-14 giugno 2018/anno:2018/pagina_da:155/pagina_a:159/intervallo_pagine:155–159
Popis: Pollen assemblages are increasingly used for quantitative reconstructions of past climate parameters. Estimated tempera-tures and precipitations can be coupled with palaeoecological records to make their interpretation more robust. Although the potential of numerical techniques is suggested by published and ongoing researches, improvements in the calibration datasets used to compare fossil and modern pollen spectra are needed. Current limitations within the European Modern Pollen Database concerning data quality and density are discussed. Attention is given to altitudinal training sets of modern pollen rain - vegetation - climate - terrain parameters, allowing a better understanding of pollen dispersal and deposition across elevational gradients.
Databáze: OpenAIRE