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贺兰山油松生长对三种不同水分指数的响应及1—7月Walter指数重建

蔡秋芳

蔡秋芳. 贺兰山油松生长对三种不同水分指数的响应及1—7月Walter指数重建[J]. 海洋地质与第四纪地质, 2009, 29(6): 131-136. doi: 10.3724/SP.J.1140.2009.06131
引用本文: 蔡秋芳. 贺兰山油松生长对三种不同水分指数的响应及1—7月Walter指数重建[J]. 海洋地质与第四纪地质, 2009, 29(6): 131-136. doi: 10.3724/SP.J.1140.2009.06131
CAI Qiufang. RESPONSE OF PINUS TABULAEFORMIS TREE-RING GROWTH TO THREE MOISTURE INDICES AND JANUARY TO JULY WALTER INDEX RECONSTRUCTION IN HELAN MOUNTAI[J]. Marine Geology & Quaternary Geology, 2009, 29(6): 131-136. doi: 10.3724/SP.J.1140.2009.06131
Citation: CAI Qiufang. RESPONSE OF PINUS TABULAEFORMIS TREE-RING GROWTH TO THREE MOISTURE INDICES AND JANUARY TO JULY WALTER INDEX RECONSTRUCTION IN HELAN MOUNTAI[J]. Marine Geology & Quaternary Geology, 2009, 29(6): 131-136. doi: 10.3724/SP.J.1140.2009.06131

贺兰山油松生长对三种不同水分指数的响应及1—7月Walter指数重建


doi: 10.3724/SP.J.1140.2009.06131
详细信息
    作者简介:

    蔡秋芳(1975-),女,助理研究员,博士,从事树轮气候学及全球变化研究,E-mail:caiqf@ieecas.cn

  • 基金项目:

    国家自然科学基金项目(40701196,40525004,40599423,40890051)

    中科院"院长奖"获得者科研启动专项资金

    "西部之光"博士科研启动项目

  • 中图分类号: P532

RESPONSE OF PINUS TABULAEFORMIS TREE-RING GROWTH TO THREE MOISTURE INDICES AND JANUARY TO JULY WALTER INDEX RECONSTRUCTION IN HELAN MOUNTAI

More Information
  • 摘要: 相关分析表明,贺兰山树轮差值年表(RES)与三种不同的反映土壤水分状况的指数在生长季不同时段均显著相关,其中RES与1-7月Walter指数相关系数最高达到0.76(n=30,p<0.001)。尽管树木生长对三种不同水分指标的响应程度有所差异,但对共同时段的显著响应结果表明,生长季水分亏缺是油松生长的主要控制因子。同时,在贺兰山研究区考虑了气温和降水因素的Walter指数,可能能够更好地反映树木所能有效利用的水分状况,因此,最终重建了过去200多年1-7月平均Walter指数变化,重建序列的方差解释量为58%(F=38.73,p<0.001)。
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出版历程
  • 收稿日期:  2009-02-26
  • 修回日期:  2009-06-16

贺兰山油松生长对三种不同水分指数的响应及1—7月Walter指数重建

doi: 10.3724/SP.J.1140.2009.06131
    作者简介:

    蔡秋芳(1975-),女,助理研究员,博士,从事树轮气候学及全球变化研究,E-mail:caiqf@ieecas.cn

基金项目:

国家自然科学基金项目(40701196,40525004,40599423,40890051)

中科院"院长奖"获得者科研启动专项资金

"西部之光"博士科研启动项目

  • 中图分类号: P532

摘要: 相关分析表明,贺兰山树轮差值年表(RES)与三种不同的反映土壤水分状况的指数在生长季不同时段均显著相关,其中RES与1-7月Walter指数相关系数最高达到0.76(n=30,p<0.001)。尽管树木生长对三种不同水分指标的响应程度有所差异,但对共同时段的显著响应结果表明,生长季水分亏缺是油松生长的主要控制因子。同时,在贺兰山研究区考虑了气温和降水因素的Walter指数,可能能够更好地反映树木所能有效利用的水分状况,因此,最终重建了过去200多年1-7月平均Walter指数变化,重建序列的方差解释量为58%(F=38.73,p<0.001)。

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