A Standardized Precipitation Evapotranspiration Index Reconstruction in the Taihe Mountains Using Tree-Ring Widths for the Last 283 Years
Tree-ring samples from Chinese Pine (Pinus tabulaeformis Carr.) that were collected in the Taihe Mountains on the western Loess Plateau, China, were used to analyze the effects of climate and drought on radial growth and to reconstruct the mean April-June Standardized Precipitation Evapotranspiratio...
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description | Tree-ring samples from Chinese Pine (Pinus tabulaeformis Carr.) that were collected in the Taihe Mountains on the western Loess Plateau, China, were used to analyze the effects of climate and drought on radial growth and to reconstruct the mean April-June Standardized Precipitation Evapotranspiration Index (SPEI) during the period 1730-2012 AD. Precipitation positively affected tree growth primarily during wet seasons, while temperature negatively affected tree growth during dry seasons. Tree growth responded positively to SPEI at long time scales most likely because the trees were able to withstand water deficits but lacked a rapid response to drought. The 10-month scale SPEI was chosen for further drought reconstruction. A calibration model for the period 1951-2011 explained 51% of the variance in the modeled SPEI data. Our SPEI reconstruction revealed long-term patterns of drought variability and captured some significant drought events, including the severe drought of 1928-1930 and the clear drying trend since the 1950s which were widespread across northern China. The reconstruction was also consistent with two other reconstructions on the western Loess Plateau at both interannual and decadal scales. The reconstructed SPEI series showed synchronous variations with the drought/wetness indices and spatial correlation analyses indicated that this reconstruction could be representative of large-scale SPEI variability in northern China. Period analysis discovered 128-year, 25-year, 2.62-year, 2.36-year, and 2.04-year cycles in this reconstruction. The time-dependency of the growth response to drought should be considered in further studies of the community dynamics. The SPEI reconstruction improves the sparse network of long-term climate records for an enhanced understanding of climatic variability on the western Loess Plateau, China. |
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Precipitation positively affected tree growth primarily during wet seasons, while temperature negatively affected tree growth during dry seasons. Tree growth responded positively to SPEI at long time scales most likely because the trees were able to withstand water deficits but lacked a rapid response to drought. The 10-month scale SPEI was chosen for further drought reconstruction. A calibration model for the period 1951-2011 explained 51% of the variance in the modeled SPEI data. Our SPEI reconstruction revealed long-term patterns of drought variability and captured some significant drought events, including the severe drought of 1928-1930 and the clear drying trend since the 1950s which were widespread across northern China. The reconstruction was also consistent with two other reconstructions on the western Loess Plateau at both interannual and decadal scales. The reconstructed SPEI series showed synchronous variations with the drought/wetness indices and spatial correlation analyses indicated that this reconstruction could be representative of large-scale SPEI variability in northern China. Period analysis discovered 128-year, 25-year, 2.62-year, 2.36-year, and 2.04-year cycles in this reconstruction. The time-dependency of the growth response to drought should be considered in further studies of the community dynamics. The SPEI reconstruction improves the sparse network of long-term climate records for an enhanced understanding of climatic variability on the western Loess Plateau, China.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0133605</identifier><identifier>PMID: 26207621</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; China ; Climate ; Climate change ; Climate effects ; Climate variability ; Climatic variability ; Correlation analysis ; Drought ; Drought index ; Droughts ; Dry season ; Drying ; Environment ; Evapotranspiration ; Evapotranspiration-precipitation relationships ; Loess ; Moisture content ; Mountains ; Pine trees ; Pinus ; Precipitation ; Precipitation (Meteorology) ; Rainfall ; Rainy season ; Reconstruction ; Science ; Spatial analysis ; Studies ; Tree growth ; Trees ; Variability ; Wind</subject><ispartof>PloS one, 2015-07, Vol.10 (7), p.e0133605</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Ma et al 2015 Ma et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a715t-b67768079b321c09900428f5ec507dbffb386a3e9886836ac4ffdcbc378be8c73</citedby><cites>FETCH-LOGICAL-a715t-b67768079b321c09900428f5ec507dbffb386a3e9886836ac4ffdcbc378be8c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4514737/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4514737/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26207621$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Li, Cheng–Sen</contributor><creatorcontrib>Ma, Yongyong</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Song, Huiming</creatorcontrib><creatorcontrib>Sun, Junyan</creatorcontrib><creatorcontrib>Lei, Ying</creatorcontrib><creatorcontrib>Wang, Yanchao</creatorcontrib><title>A Standardized Precipitation Evapotranspiration Index Reconstruction in the Taihe Mountains Using Tree-Ring Widths for the Last 283 Years</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Tree-ring samples from Chinese Pine (Pinus tabulaeformis Carr.) that were collected in the Taihe Mountains on the western Loess Plateau, China, were used to analyze the effects of climate and drought on radial growth and to reconstruct the mean April-June Standardized Precipitation Evapotranspiration Index (SPEI) during the period 1730-2012 AD. Precipitation positively affected tree growth primarily during wet seasons, while temperature negatively affected tree growth during dry seasons. Tree growth responded positively to SPEI at long time scales most likely because the trees were able to withstand water deficits but lacked a rapid response to drought. The 10-month scale SPEI was chosen for further drought reconstruction. A calibration model for the period 1951-2011 explained 51% of the variance in the modeled SPEI data. Our SPEI reconstruction revealed long-term patterns of drought variability and captured some significant drought events, including the severe drought of 1928-1930 and the clear drying trend since the 1950s which were widespread across northern China. The reconstruction was also consistent with two other reconstructions on the western Loess Plateau at both interannual and decadal scales. The reconstructed SPEI series showed synchronous variations with the drought/wetness indices and spatial correlation analyses indicated that this reconstruction could be representative of large-scale SPEI variability in northern China. Period analysis discovered 128-year, 25-year, 2.62-year, 2.36-year, and 2.04-year cycles in this reconstruction. The time-dependency of the growth response to drought should be considered in further studies of the community dynamics. The SPEI reconstruction improves the sparse network of long-term climate records for an enhanced understanding of climatic variability on the western Loess Plateau, China.</description><subject>Analysis</subject><subject>China</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Climate variability</subject><subject>Climatic variability</subject><subject>Correlation analysis</subject><subject>Drought</subject><subject>Drought index</subject><subject>Droughts</subject><subject>Dry season</subject><subject>Drying</subject><subject>Environment</subject><subject>Evapotranspiration</subject><subject>Evapotranspiration-precipitation relationships</subject><subject>Loess</subject><subject>Moisture content</subject><subject>Mountains</subject><subject>Pine trees</subject><subject>Pinus</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Rainfall</subject><subject>Rainy season</subject><subject>Reconstruction</subject><subject>Science</subject><subject>Spatial analysis</subject><subject>Studies</subject><subject>Tree 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Standardized Precipitation Evapotranspiration Index Reconstruction in the Taihe Mountains Using Tree-Ring Widths for the Last 283 Years</title><author>Ma, Yongyong ; Liu, Yu ; Song, Huiming ; Sun, Junyan ; Lei, Ying ; Wang, Yanchao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a715t-b67768079b321c09900428f5ec507dbffb386a3e9886836ac4ffdcbc378be8c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>China</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate effects</topic><topic>Climate variability</topic><topic>Climatic variability</topic><topic>Correlation analysis</topic><topic>Drought</topic><topic>Drought index</topic><topic>Droughts</topic><topic>Dry season</topic><topic>Drying</topic><topic>Environment</topic><topic>Evapotranspiration</topic><topic>Evapotranspiration-precipitation relationships</topic><topic>Loess</topic><topic>Moisture content</topic><topic>Mountains</topic><topic>Pine trees</topic><topic>Pinus</topic><topic>Precipitation</topic><topic>Precipitation (Meteorology)</topic><topic>Rainfall</topic><topic>Rainy season</topic><topic>Reconstruction</topic><topic>Science</topic><topic>Spatial analysis</topic><topic>Studies</topic><topic>Tree growth</topic><topic>Trees</topic><topic>Variability</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Yongyong</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Song, Huiming</creatorcontrib><creatorcontrib>Sun, Junyan</creatorcontrib><creatorcontrib>Lei, Ying</creatorcontrib><creatorcontrib>Wang, Yanchao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE 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One</addtitle><date>2015-07-24</date><risdate>2015</risdate><volume>10</volume><issue>7</issue><spage>e0133605</spage><pages>e0133605-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Tree-ring samples from Chinese Pine (Pinus tabulaeformis Carr.) that were collected in the Taihe Mountains on the western Loess Plateau, China, were used to analyze the effects of climate and drought on radial growth and to reconstruct the mean April-June Standardized Precipitation Evapotranspiration Index (SPEI) during the period 1730-2012 AD. Precipitation positively affected tree growth primarily during wet seasons, while temperature negatively affected tree growth during dry seasons. Tree growth responded positively to SPEI at long time scales most likely because the trees were able to withstand water deficits but lacked a rapid response to drought. The 10-month scale SPEI was chosen for further drought reconstruction. A calibration model for the period 1951-2011 explained 51% of the variance in the modeled SPEI data. Our SPEI reconstruction revealed long-term patterns of drought variability and captured some significant drought events, including the severe drought of 1928-1930 and the clear drying trend since the 1950s which were widespread across northern China. The reconstruction was also consistent with two other reconstructions on the western Loess Plateau at both interannual and decadal scales. The reconstructed SPEI series showed synchronous variations with the drought/wetness indices and spatial correlation analyses indicated that this reconstruction could be representative of large-scale SPEI variability in northern China. Period analysis discovered 128-year, 25-year, 2.62-year, 2.36-year, and 2.04-year cycles in this reconstruction. The time-dependency of the growth response to drought should be considered in further studies of the community dynamics. The SPEI reconstruction improves the sparse network of long-term climate records for an enhanced understanding of climatic variability on the western Loess Plateau, China.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26207621</pmid><doi>10.1371/journal.pone.0133605</doi><oa>free_for_read</oa></addata></record> |
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subjects | Analysis China Climate Climate change Climate effects Climate variability Climatic variability Correlation analysis Drought Drought index Droughts Dry season Drying Environment Evapotranspiration Evapotranspiration-precipitation relationships Loess Moisture content Mountains Pine trees Pinus Precipitation Precipitation (Meteorology) Rainfall Rainy season Reconstruction Science Spatial analysis Studies Tree growth Trees Variability Wind |
title | A Standardized Precipitation Evapotranspiration Index Reconstruction in the Taihe Mountains Using Tree-Ring Widths for the Last 283 Years |
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