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    林分结构和土壤养分对大兴安岭火烧迹地天然更新白桦幼树树高−胸径模型的影响

    Effects of stand structure and soil nutrients on the height–diameter model of naturally regenerated Betula platyphylla saplings under forest fire disturbance in the Greater Khingan Range

    • 摘要:
      目的 分析林火干扰对大兴安岭地区天然更新白桦幼树树高−胸径关系的影响,引入林分结构和土壤养分特征,构建更高精度的多因素模型,为该地区火后森林经营管理提供理论支撑。
      方法 以大兴安岭塔河林业局盘古林场为研究区,在1996、2010、2019年重度火干扰迹地及未干扰区设置固定样地24块,调查白桦幼树(胸径 < 5 cm)1 465株。采用调整决定系数(R_\rma^2 )、平均绝对误差(MAE)和均方根误差(RMSE)筛选最优基础模型;以火干扰状态为哑变量,通过再参数化将林分及土壤因子引入基础模型,构建广义非线性模型;进一步纳入样地水平随机效应,构建非线性混合效应模型。针对火干扰区与未干扰区样本量不均衡问题,采用分层抽样策略进行3折交叉验证,确保各折中两类样地比例与总体一致,以评估模型泛化能力。
      结果 (1)Gompertz模型为白桦幼树树高−胸径的最优基础模型,其R_\rma^2 、RMSE和MAE分别为0.683 9、1.03 m和0.78 m;(2)引入火干扰、树种香农多样性指数和土壤全磷的广义非线性模型显著提升了预测精度,R_\rma^2 提升约4.1%,RMSE和MAE分别降低约4.9%和6.4%;(3)进一步考虑样地异质性后,混合效应模型的R_\rma^2 提升至0.730 6,RMSE和MAE分别降为0.95 m和0.71 m;(4)树种香农多样性指数和土壤全磷均与幼树高生长呈负相关,但火干扰显著削弱了二者的抑制效应;当胸径为5 cm时,火干扰区预测树高(6.44 m)较未干扰区(6.15 m)高4.7%。
      结论 研究表明火干扰通过缓解林分竞争和土壤磷养分约束限制,间接促进了白桦幼树生长。本研究构建的混合效应模型有效捕获了样地水平的异质性,为火干扰后天然林更新预测提供了可靠工具。

       

      Abstract:
      Objective This study c aimed to examine the effects of forest fire disturbance on the height–diameter relationship of naturally regenerated Betula platyphylla saplings in the Greater Khingan Mountains. By incorporating stand structure and soil nutrient characteristics, a more precise multi-factor model is developedwas developed to provide theoretical support for post-fire forest management in this area.
      Method TA total of 1 465 Betula platyphylla saplings were surveyed across 24 permanent plots in Panggu Forest Farm, Tahe Forestry Bureau, Greater Khingan Mountains, covering areas burned in 1996, 2010, and 2019 as well as unburned controls. The adjust the coefficient of determination (R_\rma^2 ), mean absolute error (MAE), and root mean square error (RMSE) were used to select the optimal height-diameter basic model. A dummy variable representing fire disturbance status was then incorporated, and stand and soil factors were introduced into the base model via reparameterization to construct a generalized nonlinear model. To address the imbalance in sample size between burned and unburned plots, a stratified sampling strategy was adopted for 3-fold cross-validation to ensure consistent proportions of plot types across folds, thereby evaluating model generalization.
      Result (1) The Gompertz model was identified as the optimal base model with R_\rma^2 , RMSE, and MAE of 0.683 9, 1.03 m, and 0.78 m, respectively. (2) The generalized nonlinear model incorporating fire disturbance, Shannon diversity index of tree species, and soil total phosphorus significantly improved prediction accuracy, increasing R_\rma^2 by approximately 4.1%, and reducing RMSE and MAE by approximately 4.9% and 6.4%, respectively. (3) The nonlinear mixed-effects model further improved R_\rma^2 to 0.730 6, with RMSE and MAE decreasing to 0.95 m and 0.71 m, respectively. (4) Both the Shannon diversity index and soil total phosphorus were negatively correlated with sapling height growth.. However, fire disturbance significantly attenuated their inhibitory effects. For saplings with a DBH of 5 cm, predicted height in burned areas (6.44 m) was 4.7% higher than that in unburned areas (6.15 m).
      Conclusion Our findings indicate that fire disturbance promotes Betula platyphylla sapling height growth by alleviating stand competition and soil phosphorus limitation. The mixed-effects model developed in this study effectively captured plot-level heterogeneity, providing a reliable tool for predicting natural regeneration following fire disturbance.

       

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