日本落叶松枝条属性特征对气候变量的响应

doi:10.13287/j.1001-9332.202406.009

应用生态学报 ›› 2024, Vol. 35 ›› Issue (6): 1509-1517.doi: 10.13287/j.1001-9332.202406.009

日本落叶松枝条属性特征对气候变量的响应

贾炜玮¹, 范敏¹, 陈东升^2*, 孙丽娟³, 王鹤智⁴, 晁碧霄⁴

¹东北林业大学森林生态系统可持续经营教育部重点实验室/林学院, 哈尔滨 150040;
²中国林业科学研究院林业研究所, 北京 100091;
³国有清原满族自治县大孤家林场, 辽宁抚顺 113305;
⁴国家林业和草原局林草调查规划院, 北京 100714

收稿日期:2024-01-21 接受日期:2024-04-26 出版日期:2024-06-18 发布日期:2024-12-18
通讯作者: ^*E-mail: chends@caf.ac.cn
作者简介:贾炜玮, 男, 1978年生, 教授, 博士生导师。主要从事林分生长与收获模型研究。E-mail: jiaww2002@163.com
基金资助:
国家重点研发计划项目(2022YFD2201001)和中央高校基本科研业务费专项资金项目(2572019CP08)

Response of branch attributes of Larix kaempferi to climate variables

JIA Weiwei¹, FAN Min¹, CHEN Dongsheng^2*, SUN Lijuan³, WANG Hezhi⁴, CHAO Bixiao⁴

¹Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management/College of Forestry, Northeast Forestry University, Harbin 150040, China;
²Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;
³Dagujia Forest Farm of Qingyuan Manchu Autonomous County, Fushun 113305, Liaoning, China;
⁴Forestry and Grass Investigation and Planning Institute, National Forestry and Grassland Administration, Beijing 100714, China

Received:2024-01-21 Accepted:2024-04-26 Online:2024-06-18 Published:2024-12-18

摘要/Abstract

摘要： 基于甘肃小陇山、湖北建始县长岭岗林场和辽宁清原县大孤家林场40块标准地的120株日本落叶松解析木及样地的气候数据,运用逐步回归法建立含气候因子的日本落叶松一级枝基径、长度的混合效应模型,绘制最优混合模型固定效应预测图,判断气候因子与基径、枝长的关系,分析日本落叶松枝条对气候变量的响应差异。结果表明: 含有年平均温度和水汽亏损值的单木随机效应基径混合模型和含有年平均温度的单木随机效应枝长混合模型的拟合效果最好,R²分别为0.6152、0.6823。基于混合模型固定效应预测图,基径整体呈现随着相对着枝深度增大而增大的规律,平均基径大小顺序为:幼龄林＜中龄林＜近熟林＜成熟林;年平均温度越低,枝条基径和长度越大;水汽亏损值越大,枝条基径越小。与基径相比,枝长对温度的响应更强;在不同发育阶段中,成熟林的基径和枝长对温度的响应最强,幼龄林最弱;在等级木中,优势木的基径和枝长对温度的响应最强,劣势木最弱。混合效应模型在林木建模中更具实用性;温度和降水可以影响日本落叶松的生长,日本落叶松在气温低、湿度大的环境下生长优良。

关键词: 日本落叶松, 随机效应, 气候因子, 枝条

Abstract: We established a mixed-effects model incorporating climatic factors for the base diameter and length of the primary branches of Larix kaempferi using stepwise regression, based on climatic data from a total of 40 standard plots located in Xiaolongshan, Gansu Province, Changlinggang Forest Farm in Jianshi County, Hubei Province, and Dagujia Forest Farm in Qingyuan County, Liaoning Province, as well as the data from 120 L. kaempferi sample trees. Additionally, we created prediction charts for the fixed effects portion of the optimal mixed model to determine the relationship between climatic factors and base diameter and branch length, to explore the differential response of L. kaempferi branches to climatic variables. The results showed that the base diameter mixing model with annual mean temperature and water vapor deficit and the branch length mixing model with annual mean temperature had the best fitting effect, with R² of 0.6152 and 0.6823, respectively. Based on the fixed effects prediction chart of the mixed model, the overall basal diameter showed an increasing trend with the increases of relative branch depth. The average basal diameter size was in an order of young-aged plantation<middle-aged plantation<near mature plantation<mature plantation. The lower the annual mean temperature, the larger the base diameter and length. The larger the water vapor deficit value, the smaller the base diameter of the branches. Branch length was more sensitive to temperature compared with base diameter. In different developmental stages, the base diameter and branch length of mature plantation were the most sensitive to temperature, while the young plantation was the weakest. Among the rank trees, the base diameter and branch length of the dominant trees were the most sensitive to temperature, while the inferior trees were the weakest. Mixed effect model was more practical in tree modeling. Temperature and precipitation could affect the growth of L. kaempferi. L. kaempferi would grow well in the environment with low temperature and high humidity.

Key words: Larix kaempferi, random effect, climate factor, branch

贾炜玮, 范敏, 陈东升, 孙丽娟, 王鹤智, 晁碧霄. 日本落叶松枝条属性特征对气候变量的响应[J]. 应用生态学报, 2024, 35(6): 1509-1517.

JIA Weiwei, FAN Min, CHEN Dongsheng, SUN Lijuan, WANG Hezhi, CHAO Bixiao. Response of branch attributes of Larix kaempferi to climate variables[J]. Chinese Journal of Applied Ecology, 2024, 35(6): 1509-1517.

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日本落叶松枝条属性特征对气候变量的响应

Response of branch attributes of Larix kaempferi to climate variables

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