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Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains

The analysis of the tree radial growth response to climate is crucial for dendroclimatological research. However, the response relationships between tree-ring indices and climatic factors at different timescales are not yet clear. In this study, the tree-ring width of Huashan pine (Pinus armandii) f...

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Detalles Bibliográficos
Autores principales: Sun, Changfeng, Liu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980003/
https://www.ncbi.nlm.nih.gov/pubmed/27508933
http://dx.doi.org/10.1371/journal.pone.0160938
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author Sun, Changfeng
Liu, Yu
author_facet Sun, Changfeng
Liu, Yu
author_sort Sun, Changfeng
collection PubMed
description The analysis of the tree radial growth response to climate is crucial for dendroclimatological research. However, the response relationships between tree-ring indices and climatic factors at different timescales are not yet clear. In this study, the tree-ring width of Huashan pine (Pinus armandii) from Huashan in the Qinling Mountains, north-central China, was used to explore the response differences of tree growth to climatic factors at daily, pentad (5 days), dekad (10 days) and monthly timescales. Correlation function and linear regression analysis were applied in this paper. The tree-ring width showed a more sensitive response to daily and pentad climatic factors. With the timescale decreasing, the absolute value of the maximum correlation coefficient between the tree-ring data and precipitation increases as well as temperature (mean, minimum and maximum temperature). Compared to the other three timescales, pentad was more suitable for analysing the response of tree growth to climate. Relative to the monthly climate data, the association between the tree-ring data and the pentad climate data was more remarkable and accurate, and the reconstruction function based on the pentad climate was also more reliable and stable. We found that the major climatic factor limiting Huashan pine growth was the precipitation of pentads 20–35 (from April 6 to June 24) rather than the well-known April–June precipitation. The pentad was also proved to be a better timescale for analysing the climate and tree growth in the western and eastern Qinling Mountains. The formation of the earlywood density of Chinese pine (Pinus tabulaeformis) from Shimenshan in western Qinling was mainly affected by the maximum temperature of pentads 28–32 (from May 16 to June 9). The maximum temperature of pentads 28–33 (from May 16 to June 14) was the major factor affecting the ring width of Chinese pine from Shirenshan in eastern Qinling.
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spelling pubmed-49800032016-08-25 Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains Sun, Changfeng Liu, Yu PLoS One Research Article The analysis of the tree radial growth response to climate is crucial for dendroclimatological research. However, the response relationships between tree-ring indices and climatic factors at different timescales are not yet clear. In this study, the tree-ring width of Huashan pine (Pinus armandii) from Huashan in the Qinling Mountains, north-central China, was used to explore the response differences of tree growth to climatic factors at daily, pentad (5 days), dekad (10 days) and monthly timescales. Correlation function and linear regression analysis were applied in this paper. The tree-ring width showed a more sensitive response to daily and pentad climatic factors. With the timescale decreasing, the absolute value of the maximum correlation coefficient between the tree-ring data and precipitation increases as well as temperature (mean, minimum and maximum temperature). Compared to the other three timescales, pentad was more suitable for analysing the response of tree growth to climate. Relative to the monthly climate data, the association between the tree-ring data and the pentad climate data was more remarkable and accurate, and the reconstruction function based on the pentad climate was also more reliable and stable. We found that the major climatic factor limiting Huashan pine growth was the precipitation of pentads 20–35 (from April 6 to June 24) rather than the well-known April–June precipitation. The pentad was also proved to be a better timescale for analysing the climate and tree growth in the western and eastern Qinling Mountains. The formation of the earlywood density of Chinese pine (Pinus tabulaeformis) from Shimenshan in western Qinling was mainly affected by the maximum temperature of pentads 28–32 (from May 16 to June 9). The maximum temperature of pentads 28–33 (from May 16 to June 14) was the major factor affecting the ring width of Chinese pine from Shirenshan in eastern Qinling. Public Library of Science 2016-08-10 /pmc/articles/PMC4980003/ /pubmed/27508933 http://dx.doi.org/10.1371/journal.pone.0160938 Text en © 2016 Sun, Liu http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Changfeng
Liu, Yu
Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains
title Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains
title_full Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains
title_fullStr Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains
title_full_unstemmed Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains
title_short Climate Response of Tree Radial Growth at Different Timescales in the Qinling Mountains
title_sort climate response of tree radial growth at different timescales in the qinling mountains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980003/
https://www.ncbi.nlm.nih.gov/pubmed/27508933
http://dx.doi.org/10.1371/journal.pone.0160938
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