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Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic
The REVEALS model is a tool for recalculating pollen data into vegetation abundances on a regional scale. We explored the general effect of selected parameters by performing simulations and ascertained the best model setting for the Czech Republic using the shallowest samples from 120 fossil sites a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061133/ https://www.ncbi.nlm.nih.gov/pubmed/24936973 http://dx.doi.org/10.1371/journal.pone.0100117 |
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author | Abraham, Vojtěch Oušková, Veronika Kuneš, Petr |
author_facet | Abraham, Vojtěch Oušková, Veronika Kuneš, Petr |
author_sort | Abraham, Vojtěch |
collection | PubMed |
description | The REVEALS model is a tool for recalculating pollen data into vegetation abundances on a regional scale. We explored the general effect of selected parameters by performing simulations and ascertained the best model setting for the Czech Republic using the shallowest samples from 120 fossil sites and data on actual regional vegetation (60 km radius). Vegetation proportions of 17 taxa were obtained by combining the CORINE Land Cover map with forest inventories, agricultural statistics and habitat mapping data. Our simulation shows that changing the site radius for all taxa substantially affects REVEALS estimates of taxa with heavy or light pollen grains. Decreasing the site radius has a similar effect as increasing the wind speed parameter. However, adjusting the site radius to 1 m for local taxa only (even taxa with light pollen) yields lower, more correct estimates despite their high pollen signal. Increasing the background radius does not affect the estimates significantly. Our comparison of estimates with actual vegetation in seven regions shows that the most accurate relative pollen productivity estimates (PPEs) come from Central Europe and Southern Sweden. The initial simulation and pollen data yielded unrealistic estimates for Abies under the default setting of the wind speed parameter (3 m/s). We therefore propose the setting of 4 m/s, which corresponds to the spring average in most regions of the Czech Republic studied. Ad hoc adjustment of PPEs with this setting improves the match 3–4-fold. We consider these values (apart from four exceptions) to be appropriate, because they are within the ranges of standard errors, so they are related to original PPEs. Setting a 1 m radius for local taxa (Alnus, Salix, Poaceae) significantly improves the match between estimates and actual vegetation. However, further adjustments to PPEs exceed the ranges of original values, so their relevance is uncertain. |
format | Online Article Text |
id | pubmed-4061133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40611332014-06-20 Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic Abraham, Vojtěch Oušková, Veronika Kuneš, Petr PLoS One Research Article The REVEALS model is a tool for recalculating pollen data into vegetation abundances on a regional scale. We explored the general effect of selected parameters by performing simulations and ascertained the best model setting for the Czech Republic using the shallowest samples from 120 fossil sites and data on actual regional vegetation (60 km radius). Vegetation proportions of 17 taxa were obtained by combining the CORINE Land Cover map with forest inventories, agricultural statistics and habitat mapping data. Our simulation shows that changing the site radius for all taxa substantially affects REVEALS estimates of taxa with heavy or light pollen grains. Decreasing the site radius has a similar effect as increasing the wind speed parameter. However, adjusting the site radius to 1 m for local taxa only (even taxa with light pollen) yields lower, more correct estimates despite their high pollen signal. Increasing the background radius does not affect the estimates significantly. Our comparison of estimates with actual vegetation in seven regions shows that the most accurate relative pollen productivity estimates (PPEs) come from Central Europe and Southern Sweden. The initial simulation and pollen data yielded unrealistic estimates for Abies under the default setting of the wind speed parameter (3 m/s). We therefore propose the setting of 4 m/s, which corresponds to the spring average in most regions of the Czech Republic studied. Ad hoc adjustment of PPEs with this setting improves the match 3–4-fold. We consider these values (apart from four exceptions) to be appropriate, because they are within the ranges of standard errors, so they are related to original PPEs. Setting a 1 m radius for local taxa (Alnus, Salix, Poaceae) significantly improves the match between estimates and actual vegetation. However, further adjustments to PPEs exceed the ranges of original values, so their relevance is uncertain. Public Library of Science 2014-06-17 /pmc/articles/PMC4061133/ /pubmed/24936973 http://dx.doi.org/10.1371/journal.pone.0100117 Text en © 2014 Abraham et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Abraham, Vojtěch Oušková, Veronika Kuneš, Petr Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic |
title | Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic |
title_full | Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic |
title_fullStr | Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic |
title_full_unstemmed | Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic |
title_short | Present-Day Vegetation Helps Quantifying Past Land Cover in Selected Regions of the Czech Republic |
title_sort | present-day vegetation helps quantifying past land cover in selected regions of the czech republic |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061133/ https://www.ncbi.nlm.nih.gov/pubmed/24936973 http://dx.doi.org/10.1371/journal.pone.0100117 |
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