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将乐国有林场杉木径向生长及其对气候的响应

孙雅楠 刘亚静 孙钊 罗蜜 张运根 孙玉军

孙雅楠, 刘亚静, 孙钊, 罗蜜, 张运根, 孙玉军. 将乐国有林场杉木径向生长及其对气候的响应[J]. 北京林业大学学报. doi: 10.12171/j.1000-1522.20220373
引用本文: 孙雅楠, 刘亚静, 孙钊, 罗蜜, 张运根, 孙玉军. 将乐国有林场杉木径向生长及其对气候的响应[J]. 北京林业大学学报. doi: 10.12171/j.1000-1522.20220373
Sun Yanan, Liu Yajing, Sun Zhao, Luo Mi, Zhang Yungen, Sun Yujun. Radial growth of Cunninghamia lanceolata and its response to climate in Jiangleguo Forest farm[J]. Journal of Beijing Forestry University. doi: 10.12171/j.1000-1522.20220373
Citation: Sun Yanan, Liu Yajing, Sun Zhao, Luo Mi, Zhang Yungen, Sun Yujun. Radial growth of Cunninghamia lanceolata and its response to climate in Jiangleguo Forest farm[J]. Journal of Beijing Forestry University. doi: 10.12171/j.1000-1522.20220373

将乐国有林场杉木径向生长及其对气候的响应

doi: 10.12171/j.1000-1522.20220373
基金项目: 林业科学技术推广项目([2019]06)。
详细信息
    作者简介:

    孙雅楠。主要研究方向:森林生长收获与模型模拟。Email:923861620@qq.com 地址:100083 北京市海淀区清华东路 35 号北京林业大学林学院

    责任作者:

    孙玉军,教授。主要研究方向:森林资源监测与评价。Email:sunyj@bjfu.edu.cn 地址:同上。

  • 中图分类号: S791.27

Radial growth of Cunninghamia lanceolata and its response to climate in Jiangleguo Forest farm

  • 摘要:   目的  杉木是我国南方特有的用材树种,其具有良好的绿化效果,同时也具有较高的经济价值。本文主要对不同时间尺度上杉木径向生长动态及其与气候因子的关系展开研究,为科学经营研究区杉木提供参考依据。  方法  本研究利用径向生长测量仪对福建省将乐国有林场杉木进行了为期4年(2017年7月—2021年6月)的连续监测,对其径向生长量进行分析,确定生长季,同时进行偏相关分析及滑动相关分析探究温度、湿度、降水量等气候因子对杉木径向生长的影响。  结果  (1)杉木具有周期性的日径向改变,主要体现在3个阶段:第1个阶段是收缩,第2个阶段是恢复,第3个阶段是增长;杉木径向变化的季节动态经历了低谷期、上升期和稳定期;杉木的径向变化年际间存在差异,但径增长的时间序列和累积变化趋势基本是一致的。(2)拟合并分析杉木累积径向生长曲线可以确定福建将乐杉木的生长季为每年2—9月。(3)平均相对湿度、降雨量、最低温度和平均温度是主要的影响因子,且杉木净增量与降雨量具有显著正相关的关系,温度在适宜杉木径向生长的范围内越高越利于生长,但高于或低于这个范围均会起抑制作用;滑动相关分析结果表明随着生长季时间的变化,相关系数呈现先增加后减少的趋势。  结论  杉木径向生长与相对湿度、降水量、温度等气候因子有密切联系,因此研究杉木的径向变化特征和对气候因子的响应,为更好地规划目标树种的生存策略提供了重要的技术路径和参考模型。

     

  • 图  1  将乐县2000—2020年的月最高温度、月平均温度、月最低温度与月平均降水量

    Figure  1.  Monthly maximum temperature, monthly mean temperature, monthly minimum temperature and monthly mean precipitation in Jiangule County from 2000 to 2020

    图  2  杉木径向变化日循环示意图

    Figure  2.  Schematic diagram of daily radial variation cycle of Cunninghamia lanceolata

    图  3  研究区2018、2019、2020年气候特征

    Figure  3.  Climate characteristics of the study area in 2018、2019 and 2020

    图  4  月平均日径向变化模式(2020年)

    Figure  4.  Monthly mean circadian cycle of stem radius (2020)

    图  5  杉木年尺度径向变化动态

    Figure  5.  Annual radial variation dynamics of Cunninghamia lanceolata

    图  6  2018-2020年杉木径向生长累积拟合及径向生长速率

    Figure  6.  Cumulative fitting and radial growth rate of Cunninghamia lanceolata from 2018 to 2020

    图  7  径向生长与环境之间的动态相关性(21 d窗口期)

    Figure  7.  Dynamic correlation between radial growth and environment (21 d window period)

    表  1  杉木生长季日径向变化与气象因子的Pearson偏相关性

    Table  1.   Pearson partial correlation between daily radial variation and meteorological factors in Cunninghamia lanceolata growing season

    最高温度
    Maximum temperature
    最低温度
    Minimum temperature
    平均温度
    Average temperature
    日降水量
    Daily precipitation
    平均相对湿度
    Average relative humidity
    最小相对湿度
    Minimum relative humidity
    偏相关性系数
    Partial correlation coefficient
    −0.004−0.132*0.11*0.353**0.139*0.091
    注:相关性系数*表示P < 0.05,**表示P < 0.01
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-09-13
  • 修回日期:  2022-11-07
  • 录用日期:  2023-06-20
  • 网络出版日期:  2023-06-26

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