Tree Ring Width Responses of Pinus densiflora and Robinia pseudoacacia to Climate Variation in the Mount Tai Area of Northern China
To effectively combat climate change and put plans in place to enhance the health and quality of forests, research on the connections between long-term climate change and tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in the Mount Tai area were s...
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description | To effectively combat climate change and put plans in place to enhance the health and quality of forests, research on the connections between long-term climate change and tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in the Mount Tai area were studied. Specifically, their tree ring width characteristics were investigated according to the principles of dendrochronology, based on the analysis of multiyear climate data (1972–2022). The results showed that (1) the variation in tree ring width of Pinus densiflora Siebold & Zucc. generally decreased. Its basal area increment sequence presented a “growth-decline” change process. The trend for Robinia pseudoacacia L. was stability at first and then a reduction. Its basal area increment sequence presented a “growth-stabilization” change process. (2) The standard chronologies of both tree species contained more environmental information than the residual chronologies, rendering the former more appropriate for analysis. (3) The tree ring width of Pinus densiflora Siebold & Zucc. was positively correlated with the mean maximum temperature in February, March, and July, the mean temperature in May, and the mean precipitation in December of the previous year and June of the current year. The tree ring width of Robinia pseudoacacia L. was positively correlated with the mean and maximum temperatures in October of the previous year, the mean maximum temperature in May of the current year, and the mean temperature in July of the current year. This variable was positively correlated with the mean precipitation in November of the previous year and July of the current year but negatively correlated with the mean minimum temperature in November of the previous year and the mean temperature in December of the current year. (4) During 1987–1988, 1994–1995, 2005–2006, and 2018–2019, the tree ring width was restricted by rising temperatures and low precipitation, with variations in tree ring width observed in various hydrological periods. (5) The moisture index, followed by the warmth index, precipitation and temperature, was the primary climate factor determining the tree ring width in both tree species. |
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Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in the Mount Tai area were studied. Specifically, their tree ring width characteristics were investigated according to the principles of dendrochronology, based on the analysis of multiyear climate data (1972–2022). The results showed that (1) the variation in tree ring width of Pinus densiflora Siebold & Zucc. generally decreased. Its basal area increment sequence presented a “growth-decline” change process. The trend for Robinia pseudoacacia L. was stability at first and then a reduction. Its basal area increment sequence presented a “growth-stabilization” change process. (2) The standard chronologies of both tree species contained more environmental information than the residual chronologies, rendering the former more appropriate for analysis. (3) The tree ring width of Pinus densiflora Siebold & Zucc. was positively correlated with the mean maximum temperature in February, March, and July, the mean temperature in May, and the mean precipitation in December of the previous year and June of the current year. The tree ring width of Robinia pseudoacacia L. was positively correlated with the mean and maximum temperatures in October of the previous year, the mean maximum temperature in May of the current year, and the mean temperature in July of the current year. This variable was positively correlated with the mean precipitation in November of the previous year and July of the current year but negatively correlated with the mean minimum temperature in November of the previous year and the mean temperature in December of the current year. (4) During 1987–1988, 1994–1995, 2005–2006, and 2018–2019, the tree ring width was restricted by rising temperatures and low precipitation, with variations in tree ring width observed in various hydrological periods. (5) The moisture index, followed by the warmth index, precipitation and temperature, was the primary climate factor determining the tree ring width in both tree species.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f14102087</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Climate change ; Climatic data ; Correlation ; Dendrochronology ; Drought ; Environmental information ; Forests ; Investigations ; Moisture index ; Pine trees ; Pinus densiflora ; Plant species ; Precipitation ; Productivity ; River ecology ; Robinia pseudoacacia ; Soil erosion ; Terrestrial ecosystems ; Tree rings ; Trees ; Variation ; Vegetation</subject><ispartof>Forests, 2023-10, Vol.14 (10), p.2087</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c252t-ff4202e32f73a52a8d8c122f1d42a767dda1659e5a654a128e3eaaa8007699313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>He, Yuan</creatorcontrib><creatorcontrib>Yu, Qinghui</creatorcontrib><creatorcontrib>Wang, Guifang</creatorcontrib><creatorcontrib>Hao, Ming</creatorcontrib><creatorcontrib>Fan, Simin</creatorcontrib><creatorcontrib>Hu, Dingmeng</creatorcontrib><creatorcontrib>Li, Zongtai</creatorcontrib><creatorcontrib>Gao, Peng</creatorcontrib><title>Tree Ring Width Responses of Pinus densiflora and Robinia pseudoacacia to Climate Variation in the Mount Tai Area of Northern China</title><title>Forests</title><description>To effectively combat climate change and put plans in place to enhance the health and quality of forests, research on the connections between long-term climate change and tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in the Mount Tai area were studied. Specifically, their tree ring width characteristics were investigated according to the principles of dendrochronology, based on the analysis of multiyear climate data (1972–2022). The results showed that (1) the variation in tree ring width of Pinus densiflora Siebold & Zucc. generally decreased. Its basal area increment sequence presented a “growth-decline” change process. The trend for Robinia pseudoacacia L. was stability at first and then a reduction. Its basal area increment sequence presented a “growth-stabilization” change process. (2) The standard chronologies of both tree species contained more environmental information than the residual chronologies, rendering the former more appropriate for analysis. (3) The tree ring width of Pinus densiflora Siebold & Zucc. was positively correlated with the mean maximum temperature in February, March, and July, the mean temperature in May, and the mean precipitation in December of the previous year and June of the current year. The tree ring width of Robinia pseudoacacia L. was positively correlated with the mean and maximum temperatures in October of the previous year, the mean maximum temperature in May of the current year, and the mean temperature in July of the current year. This variable was positively correlated with the mean precipitation in November of the previous year and July of the current year but negatively correlated with the mean minimum temperature in November of the previous year and the mean temperature in December of the current year. (4) During 1987–1988, 1994–1995, 2005–2006, and 2018–2019, the tree ring width was restricted by rising temperatures and low precipitation, with variations in tree ring width observed in various hydrological periods. (5) The moisture index, followed by the warmth index, precipitation and temperature, was the primary climate factor determining the tree ring width in both tree species.</description><subject>Climate change</subject><subject>Climatic data</subject><subject>Correlation</subject><subject>Dendrochronology</subject><subject>Drought</subject><subject>Environmental information</subject><subject>Forests</subject><subject>Investigations</subject><subject>Moisture index</subject><subject>Pine trees</subject><subject>Pinus densiflora</subject><subject>Plant species</subject><subject>Precipitation</subject><subject>Productivity</subject><subject>River ecology</subject><subject>Robinia pseudoacacia</subject><subject>Soil erosion</subject><subject>Terrestrial ecosystems</subject><subject>Tree rings</subject><subject>Trees</subject><subject>Variation</subject><subject>Vegetation</subject><issn>1999-4907</issn><issn>1999-4907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUMtOwzAQtBBIVKUH_mAlThwCfiSxfawiXlJ5qCpwjJbEpq6KHezkwJkfJ1URYi-zqx3NaIaQU0YvhND00rKcUU6VPCATprXOck3l4b_9mMxS2tBxCqk0zyfkexWNgaXz7_Dq2n4NS5O64JNJECw8OT8kaI1Pzm5DREDfwjK8Oe8QumSGNmCDzXj0Aaqt-8DewAtGh70LHpyHfm3gPgy-hxU6mEeDO92HEMdH9FCtnccTcmRxm8zsF6fk-fpqVd1mi8ebu2q-yBpe8D6zNueUG8GtFFhwVK1qGOeWtTlHWcq2RVYW2hRYFjkyrowwiKgolaXWgokpOdvrdjF8Dib19SYM0Y-WNVeKF5KWXIys8z2riSGlaGzdxTFY_KoZrXc11381ix-Im27F</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>He, Yuan</creator><creator>Yu, Qinghui</creator><creator>Wang, Guifang</creator><creator>Hao, Ming</creator><creator>Fan, Simin</creator><creator>Hu, Dingmeng</creator><creator>Li, Zongtai</creator><creator>Gao, Peng</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20231001</creationdate><title>Tree Ring Width Responses of Pinus densiflora and Robinia pseudoacacia to Climate Variation in the Mount Tai Area of Northern China</title><author>He, Yuan ; Yu, Qinghui ; Wang, Guifang ; Hao, Ming ; Fan, Simin ; Hu, Dingmeng ; Li, Zongtai ; Gao, Peng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c252t-ff4202e32f73a52a8d8c122f1d42a767dda1659e5a654a128e3eaaa8007699313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Climate change</topic><topic>Climatic data</topic><topic>Correlation</topic><topic>Dendrochronology</topic><topic>Drought</topic><topic>Environmental information</topic><topic>Forests</topic><topic>Investigations</topic><topic>Moisture index</topic><topic>Pine trees</topic><topic>Pinus densiflora</topic><topic>Plant species</topic><topic>Precipitation</topic><topic>Productivity</topic><topic>River ecology</topic><topic>Robinia pseudoacacia</topic><topic>Soil erosion</topic><topic>Terrestrial ecosystems</topic><topic>Tree rings</topic><topic>Trees</topic><topic>Variation</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Yuan</creatorcontrib><creatorcontrib>Yu, Qinghui</creatorcontrib><creatorcontrib>Wang, Guifang</creatorcontrib><creatorcontrib>Hao, Ming</creatorcontrib><creatorcontrib>Fan, Simin</creatorcontrib><creatorcontrib>Hu, Dingmeng</creatorcontrib><creatorcontrib>Li, Zongtai</creatorcontrib><creatorcontrib>Gao, Peng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Yuan</au><au>Yu, Qinghui</au><au>Wang, Guifang</au><au>Hao, Ming</au><au>Fan, Simin</au><au>Hu, Dingmeng</au><au>Li, Zongtai</au><au>Gao, Peng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tree Ring Width Responses of Pinus densiflora and Robinia pseudoacacia to Climate Variation in the Mount Tai Area of Northern China</atitle><jtitle>Forests</jtitle><date>2023-10-01</date><risdate>2023</risdate><volume>14</volume><issue>10</issue><spage>2087</spage><pages>2087-</pages><issn>1999-4907</issn><eissn>1999-4907</eissn><abstract>To effectively combat climate change and put plans in place to enhance the health and quality of forests, research on the connections between long-term climate change and tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in the Mount Tai area were studied. Specifically, their tree ring width characteristics were investigated according to the principles of dendrochronology, based on the analysis of multiyear climate data (1972–2022). The results showed that (1) the variation in tree ring width of Pinus densiflora Siebold & Zucc. generally decreased. Its basal area increment sequence presented a “growth-decline” change process. The trend for Robinia pseudoacacia L. was stability at first and then a reduction. Its basal area increment sequence presented a “growth-stabilization” change process. (2) The standard chronologies of both tree species contained more environmental information than the residual chronologies, rendering the former more appropriate for analysis. (3) The tree ring width of Pinus densiflora Siebold & Zucc. was positively correlated with the mean maximum temperature in February, March, and July, the mean temperature in May, and the mean precipitation in December of the previous year and June of the current year. The tree ring width of Robinia pseudoacacia L. was positively correlated with the mean and maximum temperatures in October of the previous year, the mean maximum temperature in May of the current year, and the mean temperature in July of the current year. This variable was positively correlated with the mean precipitation in November of the previous year and July of the current year but negatively correlated with the mean minimum temperature in November of the previous year and the mean temperature in December of the current year. (4) During 1987–1988, 1994–1995, 2005–2006, and 2018–2019, the tree ring width was restricted by rising temperatures and low precipitation, with variations in tree ring width observed in various hydrological periods. (5) The moisture index, followed by the warmth index, precipitation and temperature, was the primary climate factor determining the tree ring width in both tree species.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/f14102087</doi><oa>free_for_read</oa></addata></record> |
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subjects | Climate change Climatic data Correlation Dendrochronology Drought Environmental information Forests Investigations Moisture index Pine trees Pinus densiflora Plant species Precipitation Productivity River ecology Robinia pseudoacacia Soil erosion Terrestrial ecosystems Tree rings Trees Variation Vegetation |
title | Tree Ring Width Responses of Pinus densiflora and Robinia pseudoacacia to Climate Variation in the Mount Tai Area of Northern China |
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