Article(id=1322924783310086863, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924673771647833, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.09.015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760371200000, receivedDateStr=2025-10-14, revisedDate=1764777600000, revisedDateStr=2025-12-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1793339447094, onlineDateStr=2026-10-30, pubDate=1790265600000, pubDateStr=2026-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793339447094, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793339447094, creator=13701087609, updateTime=1793339447094, updator=13701087609, issue=Issue{id=1322924673771647833, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='9', pageStart='1', pageEnd='250', issueExtLink='null', onlineDate='null', pubDate='1790265600000', pubDateStr='2026-09-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793339420978, creator='13701087609', updateTime=1793344623946, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946497460961720, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924673771647833, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946497460961721, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924673771647833, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=164, endPage=176, ext={EN=ArticleExt(id=1322924783486247632, articleId=1322924783310086863, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Differentiated responses of radial growth in Fujian
Cunninghamia lanceolata plantations to climate under varying competition intensities, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【Objective】 To reveal the climate response patterns of radial growth of Cunninghamia lanceolata (Lamb.) Hook. plantations under different competition intensities under the background of climate change, and to provide a reference for formulating targeted survival strategies for Chinese fir stands with varying competition levels.
【Method】 Taking Jiangle state-owned forest farm in Fujian Province as the research area, 23 standard sampling plots were set up, and tree-ring cores were collected from 171 Cunninghamia lanceolata individuals. Meanwhile, diameter at breast height, tree height and crown width of each tree were measured to calculate the comprehensive competition index (CCI). All sampled trees were classified into three groups by threshold values: low competition group (CCI<1.76, n=45), medium competition group (1.76≤CCI≤3.38, n=82) and high competition group (CCI>3.38, n=44), and standardized tree-ring chronologies were developed for each group. Pearson correlation and partial correlation analyses were adopted to explore the effects of meteorological factors on radial growth characteristics of Chinese fir under different competition intensities. Climate variables with severe multicollinearity (VIF>5) were eliminated via stepwise multiple regression, and climate response models for radial growth of Cunninghamia lanceolata under various competition gradients were finally established.
【Result】 1) Correlation analysis indicated that the radial growth of Chinese fir in the high-competition group exhibited the strongest sensitivity to meteorological factors, showing highly significant correlations with precipitation of the previous October and the standardized precipitation evapotranspiration index (SPEI) in March of the current year. The radial growth of trees in the medium-competition group was mainly correlated with relative humidity in January and temperature from March to April of the current year, while radial growth in the low-competition group had significant associations with temperatures during the non-growing season and early growing season; 2) The adjusted coefficients of determination of the stepwise multiple regression models for the high-, medium- and low-competition groups were 0.772, 0.518 and 0.363, respectively, all reaching significant levels. The radial growth of Chinese fir under high competition was markedly affected by non-growing season precipitation as well as minimum and maximum temperatures during the growing season. Early growing season temperature dominated the growth variations of trees in the medium-competition group, whereas non-growing season precipitation and early growing season minimum temperature exerted dominant impacts on radial growth in the low-competition group.
【Conclusion】 Meteorological factors including temperature, precipitation and relative humidity are core drivers regulating the radial growth of Cunninghamia lanceolata. Stand competition intensity can significantly alter the response magnitude of Chinese fir to climate fluctuations. Differentiated tending and management schemes should be implemented for Cunninghamia lanceolata plantations according to stand competition levels.
, authors=Lili Mu, Yujun Sun, Ruiting Liang, Junlin Yang, authorsList=Lili Mu, Yujun Sun, Ruiting Liang, Junlin Yang, authorCompany=null, correspAuthors=Yujun Sun, authorNote=null, correspAuthorsNote=null, copyrightStatement=© 2026 Journal of Central South University of Forestry & Technology, copyrightOwner=Journal of Central South University of Forestry & Technology, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322924783926649553, articleId=1322924783310086863, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=不同竞争强度下福建杉木人工林径向生长对气候的差异化响应, columnId=1322924188427760267, journalTitle=中南林业科技大学学报, columnName=生态学, runingTitle=null, highlight=null, articleAbstract=
【目的】 揭示气候变化背景下不同竞争强度杉木人工林径向生长的气候响应规律,为更好地规划杉木在不同竞争强度下的生存策略提供参考依据。
【方法】 以福建将乐国有林场杉木人工林为研究对象,布设23块标准样地,采集171株杉木的树轮样芯,同步测量胸径、树高、冠幅并计算综合竞争指数(Comprehensive competition index,CCI)。将所有杉木按照阈值法分为低竞争指数组(CCI<1.76,n=45)、中竞争指数组(1.76≤CCI≤3.38,n=82)和高竞争指数组(CCI>3.38,n=44),按分组建立标准年表;采用Pearson相关性与偏相关性分析探究气象因子对不同竞争强度下杉木径向变化特征的作用机制,通过多元逐步回归剔除多重共线性严重的气候变量(方差膨胀因子大于5),构建不同竞争梯度下杉木径向生长气候响应模型。
【结果】 1)相关性分析显示,高竞争指数组杉木径向生长对气候因子响应最敏感,与上年10月降水量、当年3月标准化降水蒸散指数呈极显著相关;中竞争指数组杉木径向生长主要与当年1月相对湿度、3—4月温度相关;低竞争指数组杉木径向生长与非生长季及生长季前期温度关联显著。2)多元逐步回归模型中,高、中、低竞争指数组调整后决定系数分别为0.772、0.518、0.363,均达显著水平;高竞争指数组杉木径向生长受非生长季降水量、生长季最低温度和最高温度等气候因子影响显著;中竞争指数组受生长季前期温度调控;低竞争指数组受非生长季降水以及生长季前期最低温度影响较大。
【结论】 温度、降水量、相对湿度等是调控杉木径向生长的核心气候因子,林分竞争强度可显著改变杉木对气候波动的响应程度;杉木人工林经营需依据林分竞争等级实施差异化抚育管理方案。
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