Relationship between leaf area index and climate factors in a Quercus variabilis plantation at the southern foot of Taihang Mountain from 2001 to 2019

Quercus variabilis is one of the most widely distributed natural tree species in China. The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China, which is sensitive to climate change. The study on the relationship between leaf area index(LAI) of Quercus variabil...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sheng tai xue bao 2023-08, Vol.43 (4), p.1646
Hauptverfasser: Huang, Hui, Zheng, Changling, Meng, Ping, Zhang, Jinsong, Tong, Xiaojuan, Cheng, Xiangfen
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 4
container_start_page 1646
container_title Sheng tai xue bao
container_volume 43
creator Huang, Hui
Zheng, Changling
Meng, Ping
Zhang, Jinsong
Tong, Xiaojuan
Cheng, Xiangfen
description Quercus variabilis is one of the most widely distributed natural tree species in China. The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China, which is sensitive to climate change. The study on the relationship between leaf area index(LAI) of Quercus variabilis plantation and climate factors in this area is of great significance to the construction of forestry ecological engineering and the evaluation of temperate forest carbon sink function in China. In this study, a 40-year-old mixed plantation(Quercus variabilis, Robinia pseudoacacia and Platycladus orientalis) in the southern foot of Taihang Mountain was taken as the research object. Firstly, we corrected the MODIS LAI product from 2001 to 2019 by using measured LAI data. Secondly, we analyzed the climate change trend in the research area in recent 19 years. Finally, we analyzed the variation characteristics of LAI and discussed the relationship of LAI and climate factors. The results showed that the climate in the experimental area was warming and humid from 2001 to 2019. The rising rate of temperature is 0.70℃·per ten years. The temperature increase in the growing season was higher than that in the non-growing season. The precipitation in growing season and-non growing season increased and decreased, respectively. In recent 10 years, the trend of climate warming and humidification has accelerated, and the frequency and intensity of high-temperature weather have increased. The LAI showed an increasing trend, the average value in recent 19 years was 2.09, and the growth rate was 0.21/10a. The growth rate of LAI in near-mature forest period was lower than that in middle-aged forest period. Temperature was the dominant climatic factor affecting the seasonal and inter-annual variation of LAI, and precipitation mainly affected the seasonal variation of LAI. The LAI in the years with high temperature days higher than 35 days was lower than that in the previous year in the near-mature forest period.
doi_str_mv 10.5846/stxb202112173576
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2817774646</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2817774646</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1586-ecb1f44f519ebf949cc0904b2130b9548e4b899d864f7e23679a4048c54dea343</originalsourceid><addsrcrecordid>eNpdkD1PwzAQhjOARCnsjCcxF86x8-ERVXxJRQhU5ujinGmqNC62A-WP8HsJlInpHe7Rc9KTJGcCL7JS5Zch7uoUUyFSUcisyA-SiUDEGWopj5LjENaIEoXUk-TrmTuKrevDqt1CzfGDuYeOyQJ5Jmj7hndAfQOmazcUGSyZ6HwYL0DwNLA3Q4B38i3VbdcG2HbUx18lUIS4YghuGMf3YJ2L4CwsqV1R_woPbhjRUWS920CKKCC6cYU-SQ4tdYFP_3aavNxcL-d3s8Xj7f38ajEzIivzGZtaWKVsJjTXVittDGpUdSok1jpTJau61Lopc2ULTmVeaFKoSpOphkkqOU3O996td28Dh1it3eD78WWVlqIoCpWrfKRwTxnvQvBsq60fY_jPSmD1U7z6X1x-A8MbdwI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2817774646</pqid></control><display><type>article</type><title>Relationship between leaf area index and climate factors in a Quercus variabilis plantation at the southern foot of Taihang Mountain from 2001 to 2019</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Huang, Hui ; Zheng, Changling ; Meng, Ping ; Zhang, Jinsong ; Tong, Xiaojuan ; Cheng, Xiangfen</creator><creatorcontrib>Huang, Hui ; Zheng, Changling ; Meng, Ping ; Zhang, Jinsong ; Tong, Xiaojuan ; Cheng, Xiangfen</creatorcontrib><description>Quercus variabilis is one of the most widely distributed natural tree species in China. The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China, which is sensitive to climate change. The study on the relationship between leaf area index(LAI) of Quercus variabilis plantation and climate factors in this area is of great significance to the construction of forestry ecological engineering and the evaluation of temperate forest carbon sink function in China. In this study, a 40-year-old mixed plantation(Quercus variabilis, Robinia pseudoacacia and Platycladus orientalis) in the southern foot of Taihang Mountain was taken as the research object. Firstly, we corrected the MODIS LAI product from 2001 to 2019 by using measured LAI data. Secondly, we analyzed the climate change trend in the research area in recent 19 years. Finally, we analyzed the variation characteristics of LAI and discussed the relationship of LAI and climate factors. The results showed that the climate in the experimental area was warming and humid from 2001 to 2019. The rising rate of temperature is 0.70℃·per ten years. The temperature increase in the growing season was higher than that in the non-growing season. The precipitation in growing season and-non growing season increased and decreased, respectively. In recent 10 years, the trend of climate warming and humidification has accelerated, and the frequency and intensity of high-temperature weather have increased. The LAI showed an increasing trend, the average value in recent 19 years was 2.09, and the growth rate was 0.21/10a. The growth rate of LAI in near-mature forest period was lower than that in middle-aged forest period. Temperature was the dominant climatic factor affecting the seasonal and inter-annual variation of LAI, and precipitation mainly affected the seasonal variation of LAI. The LAI in the years with high temperature days higher than 35 days was lower than that in the previous year in the near-mature forest period.</description><identifier>ISSN: 1000-0933</identifier><identifier>DOI: 10.5846/stxb202112173576</identifier><language>eng</language><publisher>Beijing: Science Press</publisher><subject>Annual precipitation ; Annual variations ; Carbon sinks ; Climate change ; Environmental engineering ; Feet ; Forestry ; Forests ; Global warming ; Growing season ; Growth rate ; High temperature ; Humid areas ; Humidification ; Leaf area ; Leaf area index ; Leaves ; Mountains ; Plant species ; Plantations ; Precipitation ; Quercus variabilis ; Seasonal variations ; Seasons ; Temperate forests</subject><ispartof>Sheng tai xue bao, 2023-08, Vol.43 (4), p.1646</ispartof><rights>Copyright Science Press Aug 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1586-ecb1f44f519ebf949cc0904b2130b9548e4b899d864f7e23679a4048c54dea343</citedby></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>Huang, Hui</creatorcontrib><creatorcontrib>Zheng, Changling</creatorcontrib><creatorcontrib>Meng, Ping</creatorcontrib><creatorcontrib>Zhang, Jinsong</creatorcontrib><creatorcontrib>Tong, Xiaojuan</creatorcontrib><creatorcontrib>Cheng, Xiangfen</creatorcontrib><title>Relationship between leaf area index and climate factors in a Quercus variabilis plantation at the southern foot of Taihang Mountain from 2001 to 2019</title><title>Sheng tai xue bao</title><description>Quercus variabilis is one of the most widely distributed natural tree species in China. The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China, which is sensitive to climate change. The study on the relationship between leaf area index(LAI) of Quercus variabilis plantation and climate factors in this area is of great significance to the construction of forestry ecological engineering and the evaluation of temperate forest carbon sink function in China. In this study, a 40-year-old mixed plantation(Quercus variabilis, Robinia pseudoacacia and Platycladus orientalis) in the southern foot of Taihang Mountain was taken as the research object. Firstly, we corrected the MODIS LAI product from 2001 to 2019 by using measured LAI data. Secondly, we analyzed the climate change trend in the research area in recent 19 years. Finally, we analyzed the variation characteristics of LAI and discussed the relationship of LAI and climate factors. The results showed that the climate in the experimental area was warming and humid from 2001 to 2019. The rising rate of temperature is 0.70℃·per ten years. The temperature increase in the growing season was higher than that in the non-growing season. The precipitation in growing season and-non growing season increased and decreased, respectively. In recent 10 years, the trend of climate warming and humidification has accelerated, and the frequency and intensity of high-temperature weather have increased. The LAI showed an increasing trend, the average value in recent 19 years was 2.09, and the growth rate was 0.21/10a. The growth rate of LAI in near-mature forest period was lower than that in middle-aged forest period. Temperature was the dominant climatic factor affecting the seasonal and inter-annual variation of LAI, and precipitation mainly affected the seasonal variation of LAI. The LAI in the years with high temperature days higher than 35 days was lower than that in the previous year in the near-mature forest period.</description><subject>Annual precipitation</subject><subject>Annual variations</subject><subject>Carbon sinks</subject><subject>Climate change</subject><subject>Environmental engineering</subject><subject>Feet</subject><subject>Forestry</subject><subject>Forests</subject><subject>Global warming</subject><subject>Growing season</subject><subject>Growth rate</subject><subject>High temperature</subject><subject>Humid areas</subject><subject>Humidification</subject><subject>Leaf area</subject><subject>Leaf area index</subject><subject>Leaves</subject><subject>Mountains</subject><subject>Plant species</subject><subject>Plantations</subject><subject>Precipitation</subject><subject>Quercus variabilis</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Temperate forests</subject><issn>1000-0933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpdkD1PwzAQhjOARCnsjCcxF86x8-ERVXxJRQhU5ujinGmqNC62A-WP8HsJlInpHe7Rc9KTJGcCL7JS5Zch7uoUUyFSUcisyA-SiUDEGWopj5LjENaIEoXUk-TrmTuKrevDqt1CzfGDuYeOyQJ5Jmj7hndAfQOmazcUGSyZ6HwYL0DwNLA3Q4B38i3VbdcG2HbUx18lUIS4YghuGMf3YJ2L4CwsqV1R_woPbhjRUWS920CKKCC6cYU-SQ4tdYFP_3aavNxcL-d3s8Xj7f38ajEzIivzGZtaWKVsJjTXVittDGpUdSok1jpTJau61Lopc2ULTmVeaFKoSpOphkkqOU3O996td28Dh1it3eD78WWVlqIoCpWrfKRwTxnvQvBsq60fY_jPSmD1U7z6X1x-A8MbdwI</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Huang, Hui</creator><creator>Zheng, Changling</creator><creator>Meng, Ping</creator><creator>Zhang, Jinsong</creator><creator>Tong, Xiaojuan</creator><creator>Cheng, Xiangfen</creator><general>Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20230801</creationdate><title>Relationship between leaf area index and climate factors in a Quercus variabilis plantation at the southern foot of Taihang Mountain from 2001 to 2019</title><author>Huang, Hui ; Zheng, Changling ; Meng, Ping ; Zhang, Jinsong ; Tong, Xiaojuan ; Cheng, Xiangfen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1586-ecb1f44f519ebf949cc0904b2130b9548e4b899d864f7e23679a4048c54dea343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Annual precipitation</topic><topic>Annual variations</topic><topic>Carbon sinks</topic><topic>Climate change</topic><topic>Environmental engineering</topic><topic>Feet</topic><topic>Forestry</topic><topic>Forests</topic><topic>Global warming</topic><topic>Growing season</topic><topic>Growth rate</topic><topic>High temperature</topic><topic>Humid areas</topic><topic>Humidification</topic><topic>Leaf area</topic><topic>Leaf area index</topic><topic>Leaves</topic><topic>Mountains</topic><topic>Plant species</topic><topic>Plantations</topic><topic>Precipitation</topic><topic>Quercus variabilis</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Temperate forests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Hui</creatorcontrib><creatorcontrib>Zheng, Changling</creatorcontrib><creatorcontrib>Meng, Ping</creatorcontrib><creatorcontrib>Zhang, Jinsong</creatorcontrib><creatorcontrib>Tong, Xiaojuan</creatorcontrib><creatorcontrib>Cheng, Xiangfen</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Sheng tai xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Hui</au><au>Zheng, Changling</au><au>Meng, Ping</au><au>Zhang, Jinsong</au><au>Tong, Xiaojuan</au><au>Cheng, Xiangfen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between leaf area index and climate factors in a Quercus variabilis plantation at the southern foot of Taihang Mountain from 2001 to 2019</atitle><jtitle>Sheng tai xue bao</jtitle><date>2023-08-01</date><risdate>2023</risdate><volume>43</volume><issue>4</issue><spage>1646</spage><pages>1646-</pages><issn>1000-0933</issn><abstract>Quercus variabilis is one of the most widely distributed natural tree species in China. The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China, which is sensitive to climate change. The study on the relationship between leaf area index(LAI) of Quercus variabilis plantation and climate factors in this area is of great significance to the construction of forestry ecological engineering and the evaluation of temperate forest carbon sink function in China. In this study, a 40-year-old mixed plantation(Quercus variabilis, Robinia pseudoacacia and Platycladus orientalis) in the southern foot of Taihang Mountain was taken as the research object. Firstly, we corrected the MODIS LAI product from 2001 to 2019 by using measured LAI data. Secondly, we analyzed the climate change trend in the research area in recent 19 years. Finally, we analyzed the variation characteristics of LAI and discussed the relationship of LAI and climate factors. The results showed that the climate in the experimental area was warming and humid from 2001 to 2019. The rising rate of temperature is 0.70℃·per ten years. The temperature increase in the growing season was higher than that in the non-growing season. The precipitation in growing season and-non growing season increased and decreased, respectively. In recent 10 years, the trend of climate warming and humidification has accelerated, and the frequency and intensity of high-temperature weather have increased. The LAI showed an increasing trend, the average value in recent 19 years was 2.09, and the growth rate was 0.21/10a. The growth rate of LAI in near-mature forest period was lower than that in middle-aged forest period. Temperature was the dominant climatic factor affecting the seasonal and inter-annual variation of LAI, and precipitation mainly affected the seasonal variation of LAI. The LAI in the years with high temperature days higher than 35 days was lower than that in the previous year in the near-mature forest period.</abstract><cop>Beijing</cop><pub>Science Press</pub><doi>10.5846/stxb202112173576</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1000-0933
ispartof Sheng tai xue bao, 2023-08, Vol.43 (4), p.1646
issn 1000-0933
language eng
recordid cdi_proquest_journals_2817774646
source EZB-FREE-00999 freely available EZB journals
subjects Annual precipitation
Annual variations
Carbon sinks
Climate change
Environmental engineering
Feet
Forestry
Forests
Global warming
Growing season
Growth rate
High temperature
Humid areas
Humidification
Leaf area
Leaf area index
Leaves
Mountains
Plant species
Plantations
Precipitation
Quercus variabilis
Seasonal variations
Seasons
Temperate forests
title Relationship between leaf area index and climate factors in a Quercus variabilis plantation at the southern foot of Taihang Mountain from 2001 to 2019
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T11%3A59%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relationship%20between%20leaf%20area%20index%20and%20climate%20factors%20in%20a%20Quercus%20variabilis%20plantation%20at%20the%20southern%20foot%20of%20Taihang%20Mountain%20from%202001%20to%202019&rft.jtitle=Sheng%20tai%20xue%20bao&rft.au=Huang,%20Hui&rft.date=2023-08-01&rft.volume=43&rft.issue=4&rft.spage=1646&rft.pages=1646-&rft.issn=1000-0933&rft_id=info:doi/10.5846/stxb202112173576&rft_dat=%3Cproquest_cross%3E2817774646%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2817774646&rft_id=info:pmid/&rfr_iscdi=true