2021年10月22日 星期五
不同种源和树龄油松年高生长量的比较及主要气候影响因子分析
Comparison on annual height growth increment of Pinus tabuliformis of different provenances and tree ages and analysis on main climatic influencing factors
2021年 第30卷 第5期 页码[34-41]    下载全文[1.6MB]  
摘要


摘要: 以河北省遵化市东陵林场内23个种源油松(Pinus tabuliformis Carr.)试验林为研究对象,对各种源树龄7~15 a油松的年高生长量进行比较和变异分析,并采用冗余分析法研究各种源油松的年高生长量与当年和上一年气候因子的相关性。结果显示:不同种源的年高生长量均值以青海省互助县北山(P17)种源最低(15.18 cm)、陕西省洛南县黑山村(P12)种源最高(23.50 cm),而不同树龄的年高生长量均值则以树龄15 a最低(12.48 cm)、树龄12 a最高(26.42 cm)。方差分析结果表明:树龄14 a的年高生长量在种源间存在显著(P<0.05)差异,其余树龄的年高生长量在种源间存在极显著(P<0.01)差异;除P17种源外,其余22个种源的年高生长量在树龄间存在极显著差异。变异分析结果表明:不同种源的年高生长量变异系数均值为31.08%~49.72%,不同树龄的年高生长量变异系数均值为32.39%~45.10%。冗余分析结果表明:共有5个气候因子对油松的年高生长量有显著影响,影响力从大到小依次为当年3月至5月降水量、当年3月至5月地下20 cm温度、上一年6月至8月降水量、上一年9月至11月降水量、上一年3月至5月平均空气相对湿度。其中,上一年9月至11月降水量和上一年3月至5月平均空气相对湿度与供试种源油松的年高生长量呈正相关;上一年6月至8月降水量和当年3月至5月地下20 cm温度与供试种源油松的年高生长量呈负相关;当年3月至5月降水量与供试种源油松的年高生长量呈正相关和负相关2种情况。综上所述,油松的年高生长量在不同种源和树龄间基本存在极显著差异,供试区域油松的高生长主要受水分因子尤其是降水量的影响。

Abstract

 Taking test forests of Pinus tabuliformis Carr. from 23 provenances in Dongling Forest Farm of Zunhua City of Hebei Province as research objects, comparison and variation analysis were conducted for annual height growth increment of P. tabuliformis from each provenance at tree ages of 7-15 a, and the correlations between annual height growth increment of P. tabuliformis from each provenance and climatic factors in current and last years were researched by using redundancy analysis method. The results show that the average of annual height growth increment of provenance from Beishan Mountain in Huzhu County of Qinghai Province (P17) is the lowest (15.18 cm), while that of provenance from Heishan Village in Luonan County of Shaanxi Province (P12) is the highest (23.50 cm) among different provenances, and the average of annual height growth increment is the lowest (12.48 cm) at tree age of 15 a and the highest (26.42 cm) at tree age of 12 a among different tree ages. The variance analysis result shows that there is a significant (P<0.05) difference in annual height growth increment among provenances at tree age of 14 a, while there are extremely significant (P<0.01) differences in annual height growth increment among provenances at other tree ages; except for P17 provenance, there are extremely significant differences in annual height growth increment among tree ages of other 22 provenances. The variation analysis result shows that the averages of variation coefficients of annual height growth increment of different provenances are 31.08%-49.72%, and those of different tree ages are 32.39%-45.10%. The redundancy analysis result shows that 5 climatic factors have significant effects on annual height growth increment of P. tabuliformis in total, and the influence from great to small is precipitation from Mar. to May in current year, temperature at 20 cm underground from Mar. to May in current year, precipitation from Jun. to Aug. in last year, precipitation from Sep. to Nov. in last year, and mean relative air humidity from Mar. to May in last year. In which, precipitation from Sep. to Nov. in last year and mean relative air humidity from Mar. to May in last year show positive correlations with annual height growth increment of P. tabuliformis from test provenances; precipitation from Jun. to Aug. in last year and temperature at 20 cm underground from Mar. to May in current year show negative correlations with annual height growth increment of P. tabuliformis from test provenances; precipitation from Mar. to May in current year shows both positive and negative correlations with annual height growth increment of P. tabuliformis from test provenances. Taken together, there are extremely significant differences in annual height growth increment of P. tabuliformis among different provenances and tree ages in general, and height growth of P. tabuliformis in test area is mainly affected by moisture factors especially precipitation.

关键词油松; 高生长; 种源; 树龄; 气候因子; 冗余分析
Key wordsPinus tabuliformis Carr.; height growth; provenance; tree age; climatic factor; redundancy analysis
作者荆蓉, 彭祚登
所在单位北京林业大学林学院 森林培育与保护教育部重点实验室, 北京 100083
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基金项目国家“十三五”重点研发计划(2017YFD0600500)