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Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation

Understanding relations between climate and pollen production is important for several societal and ecological challenges, importantly pollen forecasting for pollinosis treatment, forensic studies, global change biology, and high-resolution palaeoecological studies of past vegetation and climate flu...

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Autores principales: Donders, Timme H., Hagemans, Kimberley, Dekker, Stefan C., de Weger, Letty A., de Klerk, Pim, Wagner-Cremer, Friederike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136776/
https://www.ncbi.nlm.nih.gov/pubmed/25133631
http://dx.doi.org/10.1371/journal.pone.0104774
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author Donders, Timme H.
Hagemans, Kimberley
Dekker, Stefan C.
de Weger, Letty A.
de Klerk, Pim
Wagner-Cremer, Friederike
author_facet Donders, Timme H.
Hagemans, Kimberley
Dekker, Stefan C.
de Weger, Letty A.
de Klerk, Pim
Wagner-Cremer, Friederike
author_sort Donders, Timme H.
collection PubMed
description Understanding relations between climate and pollen production is important for several societal and ecological challenges, importantly pollen forecasting for pollinosis treatment, forensic studies, global change biology, and high-resolution palaeoecological studies of past vegetation and climate fluctuations. For these purposes, we investigate the role of climate variables on annual-scale variations in pollen influx, test the regional consistency of observed patterns, and evaluate the potential to reconstruct high-frequency signals from sediment archives. A 43-year pollen-trap record from the Netherlands is used to investigate relations between annual pollen influx, climate variables (monthly and seasonal temperature and precipitation values), and the North Atlantic Oscillation climate index. Spearman rank correlation analysis shows that specifically in Alnus, Betula, Corylus, Fraxinus, Quercus and Plantago both temperature in the year prior to (T(-1)), as well as in the growing season (T), are highly significant factors (T(April) r(s) between 0.30 [P<0.05[ and 0.58 [P<0.0001]; T(Juli-1) rs between 0.32 [P<0.05[ and 0.56 [P<0.0001]) in the annual pollen influx of wind-pollinated plants. Total annual pollen prediction models based on multiple climate variables yield R(2) between 0.38 and 0.62 (P<0.0001). The effect of precipitation is minimal. A second trapping station in the SE Netherlands, shows consistent trends and annual variability, suggesting the climate factors are regionally relevant. Summer temperature is thought to influence the formation of reproductive structures, while temperature during the flowering season influences pollen release. This study provides a first predictive model for seasonal pollen forecasting, and also aides forensic studies. Furthermore, variations in pollen accumulation rates from a sub-fossil peat deposit are comparable with the pollen trap data. This suggests that high frequency variability pollen records from natural archives reflect annual past climate variability, and can be used in palaeoecological and -climatological studies to bridge between population- and species-scale responses to climate forcing.
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spelling pubmed-41367762014-08-20 Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation Donders, Timme H. Hagemans, Kimberley Dekker, Stefan C. de Weger, Letty A. de Klerk, Pim Wagner-Cremer, Friederike PLoS One Research Article Understanding relations between climate and pollen production is important for several societal and ecological challenges, importantly pollen forecasting for pollinosis treatment, forensic studies, global change biology, and high-resolution palaeoecological studies of past vegetation and climate fluctuations. For these purposes, we investigate the role of climate variables on annual-scale variations in pollen influx, test the regional consistency of observed patterns, and evaluate the potential to reconstruct high-frequency signals from sediment archives. A 43-year pollen-trap record from the Netherlands is used to investigate relations between annual pollen influx, climate variables (monthly and seasonal temperature and precipitation values), and the North Atlantic Oscillation climate index. Spearman rank correlation analysis shows that specifically in Alnus, Betula, Corylus, Fraxinus, Quercus and Plantago both temperature in the year prior to (T(-1)), as well as in the growing season (T), are highly significant factors (T(April) r(s) between 0.30 [P<0.05[ and 0.58 [P<0.0001]; T(Juli-1) rs between 0.32 [P<0.05[ and 0.56 [P<0.0001]) in the annual pollen influx of wind-pollinated plants. Total annual pollen prediction models based on multiple climate variables yield R(2) between 0.38 and 0.62 (P<0.0001). The effect of precipitation is minimal. A second trapping station in the SE Netherlands, shows consistent trends and annual variability, suggesting the climate factors are regionally relevant. Summer temperature is thought to influence the formation of reproductive structures, while temperature during the flowering season influences pollen release. This study provides a first predictive model for seasonal pollen forecasting, and also aides forensic studies. Furthermore, variations in pollen accumulation rates from a sub-fossil peat deposit are comparable with the pollen trap data. This suggests that high frequency variability pollen records from natural archives reflect annual past climate variability, and can be used in palaeoecological and -climatological studies to bridge between population- and species-scale responses to climate forcing. Public Library of Science 2014-08-18 /pmc/articles/PMC4136776/ /pubmed/25133631 http://dx.doi.org/10.1371/journal.pone.0104774 Text en © 2014 Donders 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
Donders, Timme H.
Hagemans, Kimberley
Dekker, Stefan C.
de Weger, Letty A.
de Klerk, Pim
Wagner-Cremer, Friederike
Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation
title Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation
title_full Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation
title_fullStr Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation
title_full_unstemmed Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation
title_short Region-Specific Sensitivity of Anemophilous Pollen Deposition to Temperature and Precipitation
title_sort region-specific sensitivity of anemophilous pollen deposition to temperature and precipitation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136776/
https://www.ncbi.nlm.nih.gov/pubmed/25133631
http://dx.doi.org/10.1371/journal.pone.0104774
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