南京林业大学学报(自然科学版) ›› 2021, Vol. 45 ›› Issue (2): 135-144.doi: 10.12302/j.issn.1000-2006.201904026
刘亚静(), 周来, 张博, 陈丽萍, 潘磊, 孙玉军*()
收稿日期:
2019-04-12
接受日期:
2020-04-24
出版日期:
2021-03-30
发布日期:
2021-04-09
通讯作者:
孙玉军
基金资助:
LIU Yajing(), ZHOU Lai, ZHANG Bo, CHEN Liping, PAN Lei, SUN Yujun*()
Received:
2019-04-12
Accepted:
2020-04-24
Online:
2021-03-30
Published:
2021-04-09
Contact:
SUN Yujun
摘要:
【目的】研究树木的生长机制能够为树木年轮学以及重建高分辨率环境演变历史提供重要途径和基础,在高分辨率的基础上分析不同林龄树木径向生长对气候的响应特征,能更好地规划被监测树种在不同林龄的生存策略。【方法】利用带状树干径向测量仪于2017年7月—2018年7月对福建省将乐国有林场不同林龄的杉木(Cunninghamia lanceolata)进行监测,以最大值法提取日径向生长量,用Gompertz模型对累积径向变化值进行模拟,利用偏相关分析研究不同林龄杉木的年内径向变化特征及其对气象因子的响应。【结果】在生长季,不同林龄杉木的日径向变化都呈现相似的周期性(包括收缩期、膨胀恢复期和生长期3个阶段)。不同林龄的日径向变化程度不同,日振幅随着林龄增加而增大。杉木的年生长期较长,且不同林龄的年生长期随林龄增加逐渐缩短,生长季开始的时间却随着林龄增大而向后推移。幼龄林、中龄林、近熟林生长期分别为:2月初—10月末、2月末—9月末、3月初—7月末,且分别在5月末、5月初、4月末达到生长速率最大值。不同林龄杉木径向生长对于气象因子的敏感性呈下降趋势:幼龄林杉木生长主要受到降水、最低温度、平均温度、平均相对湿度的影响;中龄林杉木生长主要受到降水、最小相对湿度的影响;而在近熟林和成熟林中,气象因子与杉木生长没有显著的相关关系。【结论】在未来气候变化的背景下,气象因子的变化可能会逐渐影响到林龄较小的林分,因此对将乐杉木人工林进行经营时要因地制宜,针对不同林龄的杉木林应采取不同的营林措施。
中图分类号:
刘亚静,周来,张博,等. 不同林龄杉木径向变化及其对气象因子的响应[J]. 南京林业大学学报(自然科学版), 2021, 45(2): 135-144.
LIU Yajing, ZHOU Lai, ZHANG Bo, CHEN Liping, PAN Lei, SUN Yujun. Radial variation of Cunninghamia lanceolata in different aged forests and its response to meteorological factors[J].Journal of Nanjing Forestry University (Natural Science Edition), 2021, 45(2): 135-144.DOI: 10.12302/j.issn.1000-2006.201904026.
表1
树干径向变化测定的4块标准地基本信息"
样地 sample plot | 平均胸径/ cm average DBH | 平均树高/m average tree height | 林龄/a year | 地位指数 status index | 坡度/(°) slope | 坡向 aspect | 海拔/m altitude | 郁闭度 crown density | 林分密度/ (株·hm-2) stand density |
---|---|---|---|---|---|---|---|---|---|
幼龄林 young forest | 10.2 | 9.5 | 10 | 16 | 34 | 南偏东40° | 218 | 0.8 | 2 700 |
中龄林 middle aged forest | 18.6 | 14.4 | 15 | 18 | 29 | 南偏西10° | 195 | 0.9 | 2 125 |
近熟林 near-mature forest | 19.8 | 16.6 | 25 | 18 | 33 | 南偏东29° | 210 | 0.9 | 1 900 |
成熟林 mature forest | 21.7 | 18.8 | 35 | 16 | 32 | 南偏东27° | 220 | 0.8 | 1 883 |
表2
回归方程统计信息"
样木林 samples | 逐步回归模型 stepwise regression model | R2 | |
---|---|---|---|
幼龄林 young forest | Y1=-49.606+0.595P-3.050Tmin-1.852Tmax+4.643Tmean+0.844 | 0.484 1 | 0.466 4 |
中龄林 middle aged forest | Y2=-72.774+0.526P-1.332 Tmin +1.380 Tmax+0.589 | 0.412 0 | 0.391 9 |
近熟林 near-mature forest | Y3=-66.267 2+0.313 4P+1.043 5Hmean | 0.273 9 | 0.264 1 |
成熟林 mature forest | Y4=43.894 28+0.145 33P+0.519 10Hmean | 0.290 3 | 0.275 9 |
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