[Response of branch attributes of Larix kaempferi to climate variables]

Ying Yong Sheng Tai Xue Bao. 2024 Jun;35(6):1509-1517. doi: 10.13287/j.1001-9332.202406.009.
[Article in Chinese]

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.

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。.

Keywords: Larix kaempferi; branch; climate factor; random effect.

MeSH terms

  • China
  • Climate*
  • Ecosystem
  • Larix* / growth & development
  • Models, Theoretical
  • Plant Stems / growth & development
  • Temperature