红松人工林多目标经营模型

李爽; 蒋博; 金星姬; PUKKALA Timo

doi:10.12302/j.issn.1000-2006.202409004

红松人工林多目标经营模型

李爽, 蒋博, 金星姬, PUKKALA Timo

南京林业大学学报（自然科学版） ›› 2025, Vol. 49 ›› Issue (6) : 55-63.

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南京林业大学学报（自然科学版） ›› 2025, Vol. 49 ›› Issue (6) : 55-63. DOI: 10.12302/j.issn.1000-2006.202409004

专题报道Ⅰ: 第十四届海峡两岸森林经理研讨会专题（执行主编李凤日曹林）

红松人工林多目标经营模型

李爽 ¹ ,
蒋博 ¹ ,
金星姬 ¹^,^* ,
PUKKALA Timo ¹^,²

作者信息 +

Multi-objective management models for Pinus koraiensis plantations

LI Shuang ¹ ,
JIANG Bo ¹ ,
JIN Xingji ¹^,^* ,
PUKKALA Timo ¹^,²

Author information +

文章历史 +

摘要

【目的】以下层伐为约束条件,通过优化不同立地指数下红松(Pinus koraiensis)人工林的经营措施和构建经营模型,指导红松人工林的多目标经营并制订黑龙江省红松人工林多目标经营方案,提高我国人工林多目标经营水平。【方法】利用多属性效用函数构建以林分木材产量(WP)、大径材产量(LLP)和球果产量(CY)同时最大为经营目标的多目标方程WP、LLP、CY,3个经营目标的权重分别为:0.25、0.25、0.50。组合林分生长模拟器和差分进化算法,优化求解黑龙江省41块红松人工幼龄林样地的最佳采伐措施。以林分变量作为预测变量,构建采伐时林分密度、不同径阶的采伐强度(由logistic函数参数描述,该参数指示间伐强度为50%时的林分平均胸径)、主伐时林分平均胸径3个模型。【结果】最佳间伐时林分密度与平均胸径呈明显负相关,与立地指数呈正相关;logistic函数参数与平均胸径和立地指数呈正相关;主伐时林分平均胸径与立地指数呈正相关,与林分密度呈负相关。采伐时林分密度、采伐强度、主伐时林分平均胸径3个模型的校正后决定系数( $R a 2$ )分别为0.930、0.798和0.965,平均偏差(ME)分别为2.000 株/hm²、-0.015和0.128 cm,平均绝对误差(MAE)分别为91.000 株/hm²、1.238和0.165 cm。【结论】采伐时林分密度与地位指数呈正相关,与平均胸径呈负相关;间伐时林分平均胸径随地位指数的增加而增加;主伐时立地较差的林分比立地较好的林分平均胸径更小。

Abstract

【Objective】Management measurement of Pinus koraiensis plantations of different site indexes were optimized and the management models were constructed with a constraint that thinning from below, to guide the multi-objective management and formulate the multi-objective management plans of Pinus koraiensis plantations in Heilongjiang Province, so as to improve the multi-objective management level of plantations in China.【Method】Multi-attribute utility functions including wood production (WP), large log production (LLP) and cone yield (CY) were maximized using the following weights for the three management objectives: 0.25, 0.25 and 0.50 respectively. The management schedule was optimized for 41 plots of young Pinus koraiensis plantations in Heilongjiang Province, using a stand growth simulator and a differential evolution optimization algorithm. Three models were developed using stand variables as predictors: the number of trees per hectare at thinning, thinning intensity in different diameter classes (described by a parameter of the logistic function, indicating the diameter when the thinning intensity is 50%), and the average diameter at breast height (DBH) at clear-cutting.【Result】The optimal number of trees at thinning was significantly negatively correlated with the average diameter at breast height and positively correlated with the site index. The parameter of the logistic function showed a positive correlation with the average diameter at breast height and the site index. The average diameter at clear-cutting was positively correlated with the site index and negatively correlated with the number of trees. The $R a 2$ of the three models of number of trees per hectare during thinning, thinning intensity and average diameter at breast height during clear-cutting were at 0.930, 0.798 and 0.965, respectively. The mean error of the three models was at 2.000 trees/hm², -0.015 and 0.128 cm, and the mean of absolute errors was at 91.000 trees/hm², 1.238 and 0.165 cm, respectively.【Conclusion】The average number of trees in the forest at thinning is positively correlated with the site index and negatively correlated with average stand DBH. The average stand DBH increases with the increase of the site index at thinning. The average stand DBH of forests with poor stand during clear-cutting is smaller than that of those with good stand.

导出引用

李爽, 蒋博, 金星姬, 等. 红松人工林多目标经营模型[J]. 南京林业大学学报（自然科学版）. 2025, 49(6): 55-63 https://doi.org/10.12302/j.issn.1000-2006.202409004

LI Shuang, JIANG Bo, JIN Xingji, et al. Multi-objective management models for Pinus koraiensis plantations[J]. Journal of Nanjing Forestry University (Natural Sciences Edition）. 2025, 49(6): 55-63 https://doi.org/10.12302/j.issn.1000-2006.202409004

中图分类号： S757

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摘要

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