植物生态学报 >

2025 , Vol. 49 >Issue 12: 2080 - 2091

DOI: https://doi.org/10.17521/cjpe.2024.0138

研究论文

基于固态激光雷达测高法的亚热带幼树生长物候及其对环境因子的响应

  • 万冬梅 ,
  • 杨智杰 ,
  • 刘小飞 ,
  • 熊德成 ,
  • 胥超 ,
  • 陈仕东 ,
  • 杨玉盛
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  • 福建师范大学地理科学学院/碳中和未来技术学院, 福州 350007
    福建三明森林生态系统与国家野外科学观测研究站, 福建三明 365002
*陈仕东(sdchen@fjnu.edu.cn)

收稿日期: 2024-04-30

  录用日期: 2024-12-24

  网络出版日期: 2024-12-24

基金资助

国家自然科学基金(31930071);国家自然科学基金(32271727)

收起

Subtropical tree saplings growth phenology based on solid-state Lidar altimetry and its response to environmental factors

  • WAN Dong-Mei ,
  • YANG Zhi-Jie ,
  • LIU Xiao-Fei ,
  • XIONG De-Cheng ,
  • XU Chao ,
  • CHEN Shi-Dong ,
  • YANG Yu-Sheng
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  • College of Geographic Sciences/Carbon-Neutral Institute of Future Technology, Fujian Normal University, Fuzhou 350007, China
    Fujian Sanming Forest Ecosystem and National Field Scientific Observatory, Sanming, Fujian 365002, China

Received date: 2024-04-30

  Accepted date: 2024-12-24

  Online published: 2024-12-24

Supported by

National Natural Science Foundation of China(31930071);National Natural Science Foundation of China(32271727)

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摘要

林木的生长物候是全球变化背景下森林碳汇研究的热点领域。目前为止, 由于观测的困难, 大多研究只涉及林木的径向生长, 关于林木高生长的研究仍十分缺乏, 相关研究也很少采用高频监测技术手段, 这限制了对林木高生长物候及其驱动机制的认识; 同时, 通过冠层颜色指数反演林木生长动态也成为一种趋势。因此, 该研究从基础仪器和算法的角度出发, 以亚热带典型阔叶树种米槠(Castanopsis carlesii)和针叶树种杉木(Cunninghamia lanceolata)的幼树为研究对象, 使用面阵固态激光雷达对中宇宙生长平台的树高生长动态进行了连续高频测量, 此外, 该研究从可见光延时摄影照片中提取了RGB转换的冠层颜色指数, 并将其与多气象观测系统监测的环境因子结合, 探究林木高度生长的物候及其气候驱动因素。研究结果表明: 米槠和杉木的生长季开始时间相近, 米槠的生长季结束时间显著早于杉木, 杉木的生长季长度显著大于米槠、树高年累计生长量也大于米槠; 米槠树高单日生长速率与土壤水分含量显著正相关; 杉木树高单日生长速率与气温、土壤水分含量显著负相关, 与土壤温度、饱和水汽压差(VPD)显著正相关; 米槠和杉木的冠层颜色指数在表征树高生长动态时存在差异, 杉木树高单日生长速率与绝对绿度(ExG)、相对绿度(Gcc)、绿红植被指数(GRVI)均显著正相关, 而米槠树高单日生长速率仅与绿红植被指数(GRVI)显著正相关, 与其余颜色指数的相关性较弱。综上, 该研究利用系统的林木生长物候观测仪器, 分析林木高生长物候及其影响因子; 以及冠层颜色指数对林木生长的反演, 为森林碳汇研究提供重要的理论依据。

关键词： 树高生长; 物候; 激光雷达测高; 物候相机; 冠层颜色指数

本文引用格式

万冬梅 , 杨智杰 , 刘小飞 , 熊德成 , 胥超 , 陈仕东 , 杨玉盛 . 基于固态激光雷达测高法的亚热带幼树生长物候及其对环境因子的响应[J]. 植物生态学报, 2025 , 49(12) : 2080 -2091 . DOI: 10.17521/cjpe.2024.0138

Abstract

Aims Tree growth phenology is crucial for understanding forest carbon sequestration under global change. However, up until now, observational challenges have limited research on tree height growth, with most studies focusing on radial growth. Due to the scarcity of studies employing high-frequency monitoring, our understanding of the mechanisms driving tree growth phenology is limited. Additionally, canopy color indices are increasingly being used to study tree growth dynamics.

Methods We used area-array solid-state Lidar to continuously and at high frequency measure height growth dynamics of Cunninghamia lanceolata and Castanopsis carlesii saplings within a mesocosm experiment in subtropical china. We also derived RGB-converted canopy color indices from phenocams and integrated them with environmental factors data from a multi-factor meteorological observation system. The study aimed to explore the phenology of tree saplings height growth and its meteorological drives.

Important findings Our results indicated a synchronous start to the growing season for Castanopsis carlesii and Cunninghamia lanceolata, but a significantly earlier end for Castanopsis carlesii. Moreover, Cunninghamia lanceolata exhibited a significantly longer growing season and higher cumulative annual tree height growth than Castanopsis carlesii. The daily height growth rate of Castanopsis carlesii showed a significantly positive correlation with soil moisture. Conversely, the daily height growth rate of Cunninghamia lanceolatawas significantly negatively correlated with air temperature and soil moisture, but positively correlated with soil temperature and vapor pressure deficit (VPD). Notable differences in canopy color indices were identified between the two species: the daily height growth rate of Cunninghamia lanceolata was significantly positively correlated with the Green Excess Index (ExG), Green Chromatic Coordinate (Gcc), and Green Red Vegetation Index (GRVI), whereas Castanopsis carlesii correlated significantly with positively GRVI alone. In summary, this study utilized systematic phenological observation instruments to examine tree saplings height growth phenology and its driving factors. Furthermore, it utilized canopy color indices to retrieve tree height growth, offering key theoretical insights for forest carbon sequestration research.

Key words： tree height growth; phenology; laser radar altimetry; phenocam; canopy color index

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