Concepts and methodology to quantitatively reconstruct climate from pollen data

Authors

  • Francesca Vallé Dipartimento di Scienze dell’Ambiente e della Terra, University of Milano-Bicocca, Italy Author
  • Giulia Furlanetto Dipartimento di Scienze dell’Ambiente e della Terra, University of Milano-Bicocca, Italy Author
  • Valter Maggi Dipartimento di Scienze dell’Ambiente e della Terra, University of Milano-Bicocca, Italy Author
  • Roberta Pini Research Group on Vegetation, Climate and Human Stratigraphy, Laboratory of Palynology and Palaeoecology of CNR, IGAG - Institute of Environmental Geology and Geoengineering, Milan, Italy Author
  • Cesare Ravazzi Research Group on Vegetation, Climate and Human Stratigraphy, Laboratory of Palynology and Palaeoecology of CNR, IGAG - Institute of Environmental Geology and Geoengineering, Milan, Italy Author

DOI:

https://doi.org/10.4461/GFDQ.2019.42.12

Keywords:

Pollen data, Climate, Calibration sets, Models, Transfer functions, Reconstruction

Abstract

Pollen data are widely used as proxies to reconstruct past vegetation and climate changes. During the last decades numerical techniques have been developed to quantitatively estimate climate parameters from fossil pollen assemblages. This contribution introduces first the concepts and methodologies based on modern calibration sets to obtain past climate reconstructions. Then, focusing on high-elevation environments, the use of elevational transects as a tool for the evaluation of pollen-climate models and a temperature reconstruction obtained from an alpine fossil site are presented.

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Published

2019-12-31

Issue

Vol. 42 No. 2 (2019)

Section

Research and review papers

License

Copyright (c) 2019 Francesca Vallé, Giulia Furlanetto, Valter Maggi, Roberta Pini, Cesare Ravazzi (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

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How to Cite

Vallé, F., Furlanetto, G., Maggi, V., Pini, R., & Ravazzi, C. (2019). Concepts and methodology to quantitatively reconstruct climate from pollen data. Geografia Fisica E Dinamica Quaternaria, 42(2), 225-234. https://doi.org/10.4461/GFDQ.2019.42.12

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