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Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties
The future bloom and risk of blossom frosts for Malus domestica were projected using regional climate realizations and phenological ( = impact) models. As climate impact projections are susceptible to uncertainties of climate and impact models and model concatenation, the significant horizon of the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792985/ https://www.ncbi.nlm.nih.gov/pubmed/24116022 http://dx.doi.org/10.1371/journal.pone.0075033 |
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author | Hoffmann, Holger Rath, Thomas |
author_facet | Hoffmann, Holger Rath, Thomas |
author_sort | Hoffmann, Holger |
collection | PubMed |
description | The future bloom and risk of blossom frosts for Malus domestica were projected using regional climate realizations and phenological ( = impact) models. As climate impact projections are susceptible to uncertainties of climate and impact models and model concatenation, the significant horizon of the climate impact signal was analyzed by applying 7 impact models, including two new developments, on 13 climate realizations of the IPCC emission scenario A1B. Advancement of phenophases and a decrease in blossom frost risk for Lower Saxony (Germany) for early and late ripeners was determined by six out of seven phenological models. Single model/single grid point time series of bloom showed significant trends by 2021–2050 compared to 1971–2000, whereas the joint signal of all climate and impact models did not stabilize until 2043. Regarding blossom frost risk, joint projection variability exceeded the projected signal. Thus, blossom frost risk cannot be stated to be lower by the end of the 21st century despite a negative trend. As a consequence it is however unlikely to increase. Uncertainty of temperature, blooming date and blossom frost risk projection reached a minimum at 2078–2087. The projected phenophases advanced by 5.5 d K(−1), showing partial compensation of delayed fulfillment of the winter chill requirement and faster completion of the following forcing phase in spring. Finally, phenological model performance was improved by considering the length of day. |
format | Online Article Text |
id | pubmed-3792985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37929852013-10-10 Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties Hoffmann, Holger Rath, Thomas PLoS One Research Article The future bloom and risk of blossom frosts for Malus domestica were projected using regional climate realizations and phenological ( = impact) models. As climate impact projections are susceptible to uncertainties of climate and impact models and model concatenation, the significant horizon of the climate impact signal was analyzed by applying 7 impact models, including two new developments, on 13 climate realizations of the IPCC emission scenario A1B. Advancement of phenophases and a decrease in blossom frost risk for Lower Saxony (Germany) for early and late ripeners was determined by six out of seven phenological models. Single model/single grid point time series of bloom showed significant trends by 2021–2050 compared to 1971–2000, whereas the joint signal of all climate and impact models did not stabilize until 2043. Regarding blossom frost risk, joint projection variability exceeded the projected signal. Thus, blossom frost risk cannot be stated to be lower by the end of the 21st century despite a negative trend. As a consequence it is however unlikely to increase. Uncertainty of temperature, blooming date and blossom frost risk projection reached a minimum at 2078–2087. The projected phenophases advanced by 5.5 d K(−1), showing partial compensation of delayed fulfillment of the winter chill requirement and faster completion of the following forcing phase in spring. Finally, phenological model performance was improved by considering the length of day. Public Library of Science 2013-10-08 /pmc/articles/PMC3792985/ /pubmed/24116022 http://dx.doi.org/10.1371/journal.pone.0075033 Text en © 2013 Hoffmann, Rath 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 Hoffmann, Holger Rath, Thomas Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties |
title | Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties |
title_full | Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties |
title_fullStr | Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties |
title_full_unstemmed | Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties |
title_short | Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties |
title_sort | future bloom and blossom frost risk for malus domestica considering climate model and impact model uncertainties |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792985/ https://www.ncbi.nlm.nih.gov/pubmed/24116022 http://dx.doi.org/10.1371/journal.pone.0075033 |
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