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应用生态学报 ›› 2021, Vol. 32 ›› Issue (2): 495-502.doi: 10.13287/j.1001-9332.202102.030

• 研究论文 • 上一篇    下一篇

贺兰山地区植被冠层物候与树干形成层物候的关系

李明明1,2, 李刚3*   

  1. 1中国科学院西北生态环境资源研究院, 沙漠与沙漠化重点实验室, 兰州 730000;
    2中国科学院大学, 北京 100049;
    3甘肃祁连山国家级自然保护管理局, 甘肃张掖 734000
  • 收稿日期:2020-07-02 接受日期:2020-11-22 出版日期:2021-02-15 发布日期:2021-08-15
  • 通讯作者: *E-mail: 653174220@qq.com
  • 作者简介:李明明, 男, 1993年生, 硕士研究生。主要从事树轮生态学研究。E-mail: liming2017@lzb.ac.cn
  • 基金资助:
    国家自然科学基金项目(41520104005)和甘肃省林业和草原科技项目(2019KJ109)资助

Relationship between phenology of vegetation canopy and phenology of tree cambium in Helan Mountains, China

LI Ming-ming1,2, LI Gang3*   

  1. 1Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2University of Chinese Academy of Sciences, Beijing 100049, China;
    3Qilian Mountain National Nature Reserve Administration of Gansu Province, Zhangye 734000, Gansu, China
  • Received:2020-07-02 Accepted:2020-11-22 Online:2021-02-15 Published:2021-08-15
  • Contact: *E-mail: 653174220@qq.com
  • Supported by:
    National Natural Science Foundation of China (41520104005) and the Gansu Provincial Forestry and Grassland Science and Technology Project (2019KJ109)

摘要: 基于贺兰山地区98棵油松树轮样本的宽度数据、植被归一化指数(NDVI)数据以及土地覆被数据,采用VS-oscilloscope模型模拟的油松径向生长过程,研究植被冠层与树干形成层物候之间的联系。结果表明: 林地冠层与油松形成层生长结束期(EOS)显著相关,且高于草地与形成层之间的相关。油松生长开始期(SOS)和EOS分别与5—6月、8—9月的平均最低温度有关。5—6月的平均最低气温每升高1 ℃,SOS提前4.3 d;8—9月的平均最低气温每升高1 ℃,EOS推迟2.6 d。植被冠层物候与油松形成层物候的相关性受植被类型的影响;仅通过树轮生理模型模拟树木生长动态,结果可能存在偏差;利用遥感监测数据将冠层发育和形成层生长过程结合有助于更准确地了解树木生长动态。

关键词: 贺兰山, 冠层, 形成层, 物候, V-S模型

Abstract: Based on 98 Chinese pine (Pinus tabuliformis) tree-ring width data, normalized diffe-rence vegetation index (NDVI) data and land cover data in the Helan Mountains, we used VS-oscilloscope model to simulate the radial growth process of Chinese pine and to examine the relationship between vegetation canopy phenology and tree cambium phenology. Results showed that the end of season (EOS) of the vegetation canopy was significantly correlated with the EOS of the Chinese pine cambium. Such correlation was stronger than that between grassland and cambium. The start of season (SOS) and EOS of Chinese pine were related to the averaged minimum temperature in May-June and August-September, respectively. When the average minimum temperature in May-June increased by 1 ℃, SOS would be advanced by 4.3 days. The averaged minimum temperature in August-September increased by 1 ℃, EOS would be delayed by 2.6 days. The correlation between the phenology of vegetation canopy and the phenology of the cambium in Chinese pine differed among vegetation types. Simulating tree growth dynamics only through a tree-ring physiology model might lead to biased results. Using remote sensing monitoring data to combine canopy development and cambium growth would help to more accurately understand tree growth dynamics.

Key words: Helan Mountains, canopy, cambium, phenology, V-S model