Article(id=1322924640103969319, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924574345670676, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.07.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757174400000, receivedDateStr=2025-09-07, revisedDate=1765728000000, revisedDateStr=2025-12-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1793339412952, onlineDateStr=2026-10-30, pubDate=1784908800000, pubDateStr=2026-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793339412952, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793339412952, creator=13701087609, updateTime=1793339412952, updator=13701087609, issue=Issue{id=1322924574345670676, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='7', pageStart='1', pageEnd='234', issueExtLink='null', onlineDate='null', pubDate='1784908800000', pubDateStr='2026-07-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793339397274, creator='13701087609', updateTime=1793344662547, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946659029746602, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924574345670676, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946659029746603, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924574345670676, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=22, endPage=32, ext={EN=ArticleExt(id=1322924640703754792, articleId=1322924640103969319, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Variation in stem mineral elements among Cunninghamia lanceolata provenances and its impact on growth and carbon sequestration, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【Objective】

To clarify the patterns of provenance variation in mineral elements in the stems of Cunninghamia lanceolata, analyze their driving effects on growth and carbon sequestration function, and to provide a theoretical basis for breeding high-carbon-sink germplasm and implementing precise nutrient management.

【Method】

In 2017, a provenance trial plantation of 36-year-old C. lanceolata at Dagang mountain, Jiangxi Province, was studied. Fifteen geographical provenances were selected to determine the contents of ten elements in stem wood, including carbon (C), nitrogen (N), phosphorus (P), sulfur (S), potassium (K), calcium (Ca), magnesium (Mg), iron (Fe), manganese (Mn), and zinc (Zn), and the stoichiometric ratios of C, N, and P were calculated. By integrating geographic and climatic factors from the provenance origins, as well as growth and carbon sequestration traits, analysis of variance (ANOVA), redundancy analysis (RDA), and structural equation modeling (SEM) were employed to elucidate the associations and driving pathways among these variables.

【Result】

Obvious provenance variations were observed in stem growth, biomass, carbon storage, and mineral element content. Carbon storage showed the highest variation (the coefficient of variation is 50.73%), indicating substantial differences in carbon sink potential among provenances. Stem P and K contents were the core drivers of increases in DBH, volume, biomass, and carbon storage (For example, the direct path coefficient from biomass to carbon storage was 0.916, indicating an extremely strong positive effect).), while Mn content significantly inhibited biomass accumulation. Geographic and climatic factors of the provenance origin (July mean temperature, annual mean precipitation) indirectly influence growth and carbon sequestration function primarily by regulating the stoichiometric balance of C, N, and P, rather than through the absolute contents of P and K. Cluster analysis identified four superior provenances, including Shunchang (Fujian) and Zhijiang (Hunan), characterized by high P, high K, and high carbon sink potential.

【Conclusion】

Phosphorus and potassium are the core nutrient elements driving biomass accumulation and carbon sequestration enhancement. Provenance selection and plantation management should prioritize stem P and K contents and their utilization efficiency.

, authors=Ping He1, Shengmin Wang2, Yueqiao Li1, Jianjun Sun1, Longhua Yu1, Ren Liu1, Yunxia Song1, Linya Nie1, authorsList=Ping He, Shengmin Wang, Yueqiao Li, Jianjun Sun, Longhua Yu, Ren Liu, Yunxia Song, Linya Nie, authorCompany=null, correspAuthors=Yueqiao Li, 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=1322924641060270633, articleId=1322924640103969319, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=杉木茎干矿质元素种源变异及其对生长与碳汇的影响, columnId=1322924153761837409, journalTitle=中南林业科技大学学报, columnName=林学, runingTitle=null, highlight=null, articleAbstract=
【目的】

阐明杉木Cunninghamia lanceolata茎干矿质元素的种源变异规律,解析其对生长与碳汇功能的驱动效应,为高碳汇种质选育与精准养分管理提供科学依据。

【方法】

2017年,以江西大岗山36年生杉木种源试验林为对象,选取15个地理种源,测定茎干碳(C)、氮(N)、磷(P)、硫(S)、钾(K)、钙(Ca)、镁(Mg)、铁(Fe)、锰(Mn)、锌(Zn)10种元素含量并计算C、N、P化学计量比,结合原产地地理与气候因子、生长与碳汇性状,采用方差分析、冗余分析与结构方程模型解析其关联与驱动路径。

【结果】

茎干生长、生物量、有机碳储量及矿质元素含量存在明显种源变异,其中有机碳储量变异最大(变异系数为50.73%),表明不同种源碳汇潜力差异巨大。茎干P、K含量是驱动胸径、材积、生物量及有机碳储量增加的核心因子(如生物量对有机碳储量的直接路径系数为0.916,呈极强的正向影响),而Mn含量则显著抑制生物量积累。原产地的地理与气候因子(7月均温、年均降水量)主要通过调控C、N、P化学计量平衡,而非P、K绝对含量来间接影响杉木的生长与碳汇功能。聚类筛选出福建顺昌、湖南芷江等4个具有高P、高K、高碳汇功能的优良种源。

【结论】

P、K是驱动生物量积累与碳汇提升的核心营养因子。种源筛选与人工林管理中,应高度重视茎干P、K含量及其利用效率。

, authors=何平1, 汪盛民2, 厉月桥1, 孙建军1, 喻龙华1, 刘仁1, 宋云霞1, 聂林芽1, authorsList=何平, 汪盛民, 厉月桥, 孙建军, 喻龙华, 刘仁, 宋云霞, 聂林芽, authorCompany=null, correspAuthors=厉月桥, authorNote=

何平(),工程师,硕士。

, correspAuthorsNote=
厉月桥(),正高级工程师,博士,硕士研究生导师。
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杉木茎干矿质元素种源变异及其对生长与碳汇的影响
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何平 1 , 汪盛民 2 , 厉月桥 1 , 孙建军 1 , 喻龙华 1 , 刘仁 1 , 宋云霞 1 , 聂林芽 1
中南林业科技大学学报 | 林学 2026,46(7): 22-32
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中南林业科技大学学报 |林学 2026 , 46 (7) : 22 -32
杉木茎干矿质元素种源变异及其对生长与碳汇的影响
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何平1 , 汪盛民2, 厉月桥1 , 孙建军1, 喻龙华1, 刘仁1, 宋云霞1, 聂林芽1
作者信息
  • 1.中国林业科学研究院亚热带林业实验中心 a. 生物多样性保护与资源利用江西省重点实验室;b. 新余市森林碳汇能力监测与调控重点实验室,江西 新余 336600
  • 2.景德镇市枫树山林场有限公司,江西 景德镇 333000
通讯作者:
厉月桥(),正高级工程师,博士,硕士研究生导师。
作者简介:

何平(),工程师,硕士。

Variation in stem mineral elements among Cunninghamia lanceolata provenances and its impact on growth and carbon sequestration
Ping He1 , Shengmin Wang2, Yueqiao Li1 , Jianjun Sun1, Longhua Yu1, Ren Liu1, Yunxia Song1, Linya Nie1
Affiliations
  • 1.a. Xinyu City Key Laboratory of Forest Carbon Sink Monitoring and Regulation; b. Jiangxi Provincial Key Laboratory of Biodiversity Conservation and Resource Utilization, Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu 336600, Jiangxi, China
  • 2.Fengshushan Forest Farm, Jingdezhen 333000, Jiangxi, China
出版时间: 2026-07-25 doi: 10.14067/j.cnki.1673-923x.2026.07.003
文章导航
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【目的】

阐明杉木Cunninghamia lanceolata茎干矿质元素的种源变异规律,解析其对生长与碳汇功能的驱动效应,为高碳汇种质选育与精准养分管理提供科学依据。

【方法】

2017年,以江西大岗山36年生杉木种源试验林为对象,选取15个地理种源,测定茎干碳(C)、氮(N)、磷(P)、硫(S)、钾(K)、钙(Ca)、镁(Mg)、铁(Fe)、锰(Mn)、锌(Zn)10种元素含量并计算C、N、P化学计量比,结合原产地地理与气候因子、生长与碳汇性状,采用方差分析、冗余分析与结构方程模型解析其关联与驱动路径。

【结果】

茎干生长、生物量、有机碳储量及矿质元素含量存在明显种源变异,其中有机碳储量变异最大(变异系数为50.73%),表明不同种源碳汇潜力差异巨大。茎干P、K含量是驱动胸径、材积、生物量及有机碳储量增加的核心因子(如生物量对有机碳储量的直接路径系数为0.916,呈极强的正向影响),而Mn含量则显著抑制生物量积累。原产地的地理与气候因子(7月均温、年均降水量)主要通过调控C、N、P化学计量平衡,而非P、K绝对含量来间接影响杉木的生长与碳汇功能。聚类筛选出福建顺昌、湖南芷江等4个具有高P、高K、高碳汇功能的优良种源。

【结论】

P、K是驱动生物量积累与碳汇提升的核心营养因子。种源筛选与人工林管理中,应高度重视茎干P、K含量及其利用效率。

杉木  /  茎干矿质元素  /  种源变异  /  生态化学计量  /  碳汇功能
【Objective】

To clarify the patterns of provenance variation in mineral elements in the stems of Cunninghamia lanceolata, analyze their driving effects on growth and carbon sequestration function, and to provide a theoretical basis for breeding high-carbon-sink germplasm and implementing precise nutrient management.

【Method】

In 2017, a provenance trial plantation of 36-year-old C. lanceolata at Dagang mountain, Jiangxi Province, was studied. Fifteen geographical provenances were selected to determine the contents of ten elements in stem wood, including carbon (C), nitrogen (N), phosphorus (P), sulfur (S), potassium (K), calcium (Ca), magnesium (Mg), iron (Fe), manganese (Mn), and zinc (Zn), and the stoichiometric ratios of C, N, and P were calculated. By integrating geographic and climatic factors from the provenance origins, as well as growth and carbon sequestration traits, analysis of variance (ANOVA), redundancy analysis (RDA), and structural equation modeling (SEM) were employed to elucidate the associations and driving pathways among these variables.

【Result】

Obvious provenance variations were observed in stem growth, biomass, carbon storage, and mineral element content. Carbon storage showed the highest variation (the coefficient of variation is 50.73%), indicating substantial differences in carbon sink potential among provenances. Stem P and K contents were the core drivers of increases in DBH, volume, biomass, and carbon storage (For example, the direct path coefficient from biomass to carbon storage was 0.916, indicating an extremely strong positive effect).), while Mn content significantly inhibited biomass accumulation. Geographic and climatic factors of the provenance origin (July mean temperature, annual mean precipitation) indirectly influence growth and carbon sequestration function primarily by regulating the stoichiometric balance of C, N, and P, rather than through the absolute contents of P and K. Cluster analysis identified four superior provenances, including Shunchang (Fujian) and Zhijiang (Hunan), characterized by high P, high K, and high carbon sink potential.

【Conclusion】

Phosphorus and potassium are the core nutrient elements driving biomass accumulation and carbon sequestration enhancement. Provenance selection and plantation management should prioritize stem P and K contents and their utilization efficiency.

Cunninghamia lanceolata  /  stem mineral elements  /  provenance variation  /  ecological stoichiometry  /  carbon sequestration function
何平, 汪盛民, 厉月桥, 孙建军, 喻龙华, 刘仁, 宋云霞, 聂林芽. 杉木茎干矿质元素种源变异及其对生长与碳汇的影响. 中南林业科技大学学报, 2026 , 46 (7) : 22 -32 . DOI: 10.14067/j.cnki.1673-923x.2026.07.003
Ping He, Shengmin Wang, Yueqiao Li, Jianjun Sun, Longhua Yu, Ren Liu, Yunxia Song, Linya Nie. Variation in stem mineral elements among Cunninghamia lanceolata provenances and its impact on growth and carbon sequestration[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (7) : 22 -32 . DOI: 10.14067/j.cnki.1673-923x.2026.07.003
  • 中国林业科学研究院中央级公益性科研院所基本科研业务费专项(重点项目)(CAFYBB2022ZC005)
  • 江西省重点研发计划项目(20223BBF61005)
  • 江西省林业补助专项资金项目(300100208)
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2026年第46卷第7期
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doi: 10.14067/j.cnki.1673-923x.2026.07.003
  • 接收时间:2025-09-07
  • 首发时间:2026-10-30
  • 出版时间:2026-07-25
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  • 收稿日期:2025-09-07
  • 修回日期:2025-12-15
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中国林业科学研究院中央级公益性科研院所基本科研业务费专项(重点项目)(CAFYBB2022ZC005)
江西省重点研发计划项目(20223BBF61005)
江西省林业补助专项资金项目(300100208)
作者信息
    1.中国林业科学研究院亚热带林业实验中心 a. 生物多样性保护与资源利用江西省重点实验室;b. 新余市森林碳汇能力监测与调控重点实验室,江西 新余 336600
    2.景德镇市枫树山林场有限公司,江西 景德镇 333000

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厉月桥(),正高级工程师,博士,硕士研究生导师。
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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