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High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario
Reports indicate that leaf onset (leaf flush) of deciduous trees in cool-temperate ecosystems is occurring earlier in the spring in response to global warming. In this study, we created two types of phenology models, one driven only by warmth (spring warming [SW] model) and another driven by both wa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686210/ https://www.ncbi.nlm.nih.gov/pubmed/23789086 http://dx.doi.org/10.1002/ece3.575 |
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author | Hadano, Mayumi Nasahara, Kenlo Nishida Motohka, Takeshi Noda, Hibiki Muraoka Murakami, Kazutaka Hosaka, Masahiro |
author_facet | Hadano, Mayumi Nasahara, Kenlo Nishida Motohka, Takeshi Noda, Hibiki Muraoka Murakami, Kazutaka Hosaka, Masahiro |
author_sort | Hadano, Mayumi |
collection | PubMed |
description | Reports indicate that leaf onset (leaf flush) of deciduous trees in cool-temperate ecosystems is occurring earlier in the spring in response to global warming. In this study, we created two types of phenology models, one driven only by warmth (spring warming [SW] model) and another driven by both warmth and winter chilling (parallel chill [PC] model), to predict such phenomena in the Japanese Islands at high spatial resolution (500 m). We calibrated these models using leaf onset dates derived from satellite data (Terra/MODIS) and in situ temperature data derived from a dense network of ground stations Automated Meteorological Data Acquisition System. We ran the model using future climate predictions created by the Japanese Meteorological Agency's MRI-AGCM3.1S model. In comparison to the first decade of the 2000s, our results predict that the date of leaf onset in the 2030s will advance by an average of 12 days under the SW model and 7 days under the PC model throughout the study area. The date of onset in the 2090s will advance by 26 days under the SW model and by 15 days under the PC model. The greatest impact will occur on Hokkaido (the northernmost island) and in the central mountains. |
format | Online Article Text |
id | pubmed-3686210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-36862102013-06-20 High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario Hadano, Mayumi Nasahara, Kenlo Nishida Motohka, Takeshi Noda, Hibiki Muraoka Murakami, Kazutaka Hosaka, Masahiro Ecol Evol Original Research Reports indicate that leaf onset (leaf flush) of deciduous trees in cool-temperate ecosystems is occurring earlier in the spring in response to global warming. In this study, we created two types of phenology models, one driven only by warmth (spring warming [SW] model) and another driven by both warmth and winter chilling (parallel chill [PC] model), to predict such phenomena in the Japanese Islands at high spatial resolution (500 m). We calibrated these models using leaf onset dates derived from satellite data (Terra/MODIS) and in situ temperature data derived from a dense network of ground stations Automated Meteorological Data Acquisition System. We ran the model using future climate predictions created by the Japanese Meteorological Agency's MRI-AGCM3.1S model. In comparison to the first decade of the 2000s, our results predict that the date of leaf onset in the 2030s will advance by an average of 12 days under the SW model and 7 days under the PC model throughout the study area. The date of onset in the 2090s will advance by 26 days under the SW model and by 15 days under the PC model. The greatest impact will occur on Hokkaido (the northernmost island) and in the central mountains. Blackwell Publishing Ltd 2013-06 2013-05-12 /pmc/articles/PMC3686210/ /pubmed/23789086 http://dx.doi.org/10.1002/ece3.575 Text en © 2013 Published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Original Research Hadano, Mayumi Nasahara, Kenlo Nishida Motohka, Takeshi Noda, Hibiki Muraoka Murakami, Kazutaka Hosaka, Masahiro High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario |
title | High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario |
title_full | High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario |
title_fullStr | High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario |
title_full_unstemmed | High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario |
title_short | High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario |
title_sort | high-resolution prediction of leaf onset date in japan in the 21st century under the ipcc a1b scenario |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686210/ https://www.ncbi.nlm.nih.gov/pubmed/23789086 http://dx.doi.org/10.1002/ece3.575 |
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