A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy
AbstractWe present novel results of pollen analyses performed on a 10 m firn core retrieved from Alto dell'Ortles glacier (3840 m a.s.l.), Eastern Italian Alps, in 2009. The objective was to identify and quantify pollen grains retained in the ice to detect annual and interannual variations in t...
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ftopenaccessrep:oai:zenodo.org:122009 2023-10-29T02:37:04+01:00 A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy Luca Carturan Edith Bucher Daniela Festi Paolo Gabrielli Werner Kofler Volkmar Mair Klaus Oeggl 2015-01-01 https://www.openaccessrepository.it/record/122009 https://doi.org/10.3189/2015jog14j236 eng eng url:https://www.openaccessrepository.it/communities/itmirror https://www.openaccessrepository.it/record/122009 doi:10.3189/2015jog14j236 info:eu-repo/semantics/openAccess Aurora Universities Network NEANIAS Atmospheric Research Community Earth-Surface Processes info:eu-repo/semantics/article publication-article 2015 ftopenaccessrep https://doi.org/10.3189/2015jog14j236 2023-10-03T22:17:06Z AbstractWe present novel results of pollen analyses performed on a 10 m firn core retrieved from Alto dell'Ortles glacier (3840 m a.s.l.), Eastern Italian Alps, in 2009. The objective was to identify and quantify pollen grains retained in the ice to detect annual and interannual variations in the pollen spectra, thus enabling construction of an accurate pollen-based timescale. Up to now, this has been achieved by pollen diagram interpretation. Here we present a statistical approach developed to extract the seasonal/annual signal contained in the pollen spectra of an ice core. The method is based on principal component analyses of pollen assemblages obtained by high-level taxonomical identification. We apply this approach to the Ortles samples, demonstrating that seasonal and yearly variations of the pollen spectra are easily detectable and provide valuable information that can help improve the chronological model of the firn core. This approach can potentially be used for deeper cores as well as other types of archives (e.g. varved sediments), allowing faster, more objective estimation of yearly and seasonal variations than with classical percentage pollen diagrams. Article in Journal/Newspaper ice core Istituto Nazionale di Fisica Nucleare (INFN): Open Access Repository Journal of Glaciology 61 229 815 824 |
institution |
Open Polar |
collection |
Istituto Nazionale di Fisica Nucleare (INFN): Open Access Repository |
op_collection_id |
ftopenaccessrep |
language |
English |
topic |
Aurora Universities Network NEANIAS Atmospheric Research Community Earth-Surface Processes |
spellingShingle |
Aurora Universities Network NEANIAS Atmospheric Research Community Earth-Surface Processes Luca Carturan Edith Bucher Daniela Festi Paolo Gabrielli Werner Kofler Volkmar Mair Klaus Oeggl A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy |
topic_facet |
Aurora Universities Network NEANIAS Atmospheric Research Community Earth-Surface Processes |
description |
AbstractWe present novel results of pollen analyses performed on a 10 m firn core retrieved from Alto dell'Ortles glacier (3840 m a.s.l.), Eastern Italian Alps, in 2009. The objective was to identify and quantify pollen grains retained in the ice to detect annual and interannual variations in the pollen spectra, thus enabling construction of an accurate pollen-based timescale. Up to now, this has been achieved by pollen diagram interpretation. Here we present a statistical approach developed to extract the seasonal/annual signal contained in the pollen spectra of an ice core. The method is based on principal component analyses of pollen assemblages obtained by high-level taxonomical identification. We apply this approach to the Ortles samples, demonstrating that seasonal and yearly variations of the pollen spectra are easily detectable and provide valuable information that can help improve the chronological model of the firn core. This approach can potentially be used for deeper cores as well as other types of archives (e.g. varved sediments), allowing faster, more objective estimation of yearly and seasonal variations than with classical percentage pollen diagrams. |
format |
Article in Journal/Newspaper |
author |
Luca Carturan Edith Bucher Daniela Festi Paolo Gabrielli Werner Kofler Volkmar Mair Klaus Oeggl |
author_facet |
Luca Carturan Edith Bucher Daniela Festi Paolo Gabrielli Werner Kofler Volkmar Mair Klaus Oeggl |
author_sort |
Luca Carturan |
title |
A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy |
title_short |
A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy |
title_full |
A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy |
title_fullStr |
A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy |
title_full_unstemmed |
A novel pollen-based method to detect seasonality in ice cores: a case study from the Ortles glacier, South Tyrol, Italy |
title_sort |
novel pollen-based method to detect seasonality in ice cores: a case study from the ortles glacier, south tyrol, italy |
publishDate |
2015 |
url |
https://www.openaccessrepository.it/record/122009 https://doi.org/10.3189/2015jog14j236 |
genre |
ice core |
genre_facet |
ice core |
op_relation |
url:https://www.openaccessrepository.it/communities/itmirror https://www.openaccessrepository.it/record/122009 doi:10.3189/2015jog14j236 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3189/2015jog14j236 |
container_title |
Journal of Glaciology |
container_volume |
61 |
container_issue |
229 |
container_start_page |
815 |
op_container_end_page |
824 |
_version_ |
1781061409009827840 |