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    王梓名, 赵明明, 任云卯, 詹记平, 李智尧, 于立新, 于青军, 贾忠奎. 主伐龄油松建筑材林生长及土壤性质对林分密度的响应[J]. 北京林业大学学报, 2022, 44(12): 88-101. DOI: 10.12171/j.1000-1522.20210442
    引用本文: 王梓名, 赵明明, 任云卯, 詹记平, 李智尧, 于立新, 于青军, 贾忠奎. 主伐龄油松建筑材林生长及土壤性质对林分密度的响应[J]. 北京林业大学学报, 2022, 44(12): 88-101. DOI: 10.12171/j.1000-1522.20210442
    Wang Ziming, Zhao Mingming, Ren Yunmao, Zhan Jiping, Li Zhiyao, Yu Lixin, Yu Qingjun, Jia Zhongkui. Response of growth and soil properties of Chinese pine building timber forest at felling age to stand density[J]. Journal of Beijing Forestry University, 2022, 44(12): 88-101. DOI: 10.12171/j.1000-1522.20210442
    Citation: Wang Ziming, Zhao Mingming, Ren Yunmao, Zhan Jiping, Li Zhiyao, Yu Lixin, Yu Qingjun, Jia Zhongkui. Response of growth and soil properties of Chinese pine building timber forest at felling age to stand density[J]. Journal of Beijing Forestry University, 2022, 44(12): 88-101. DOI: 10.12171/j.1000-1522.20210442

    主伐龄油松建筑材林生长及土壤性质对林分密度的响应

    Response of growth and soil properties of Chinese pine building timber forest at felling age to stand density

    • 摘要:
        目的  以油松建筑材的最适主伐龄林分为研究对象,从密度效应入手,以期探明不同林分密度林木生长表现特征和土壤理化性质的响应机制,确定影响林木出材的限制因素,提高河北地区油松建筑材林培育技术,为实现林分可持续经营提供指导。
        方法  以河北省平泉市油松建筑材50年、52年、56年生主伐龄期林分为研究对象,设置3种密度梯度:低密度450 ~ 750 株/hm2、中密度750 ~ 1 050 株/hm2、高密度1 050 ~ 1 350 株/hm2,研究3种密度条件下的林木生长表现特征和土壤理化性质,并对各生长表现指标与土壤理化性质进行Pearson相关性分析。运用因子分析方法,结合林分生长表现和土壤质量,计算各密度油松建筑材林分综合得分后进行排名,并对其可持续经营潜力进行评价。
        结果  (1)林分单位面积出材量不受林分密度的显著影响,但其随着林分密度的降低而减小,高密度林分的单位面积出材量最高,为107.87 m3/hm2。(2)低密度油松建筑材林的平均单木出材量为0.256 4 m3,单位面积树干生物量为148.02 t/hm2,均极显著高于中密度和高密度(P < 0.01),且超过中密度和高密度1倍以上。低密度林分的单木出材率和树干生物量占比分别达到了84.12%和68.56%,均显著高于中高密度。(3)在土壤物理性质中,密度效应对土壤密度、非毛管孔隙度、饱和持水量有极显著影响(P < 0.01),对土壤总孔隙度有显著影响(P < 0.05);在土壤化学性质中,密度效应仅对土壤速效钾有极显著影响(P < 0.01)。(4)单位面积出材量与其他指标无显著相关性。平均单木出材量与树干生物量占比之间极显著正相关(P < 0.01),与非毛管孔隙度显著负相关(P < 0.05)。树干生物量占比与土壤密度显著正相关(P < 0.05),与饱和持水量和总孔隙度显著负相关(P < 0.05),与非毛管孔隙度极显著负相关(P < 0.01)。(5)750 ~ 1 050 株/hm2的密度条件下林分综合质量最高,最利于油松建筑材林的可持续经营。
        结论  低密度(450 ~ 750株/hm2)林分内林木可作为大径级建筑框架材,中高密度(750 ~ 1 350 株/hm2)的可作为中小径级拼接材、家具等。土层主要影响土壤化学性质,林分密度主要影响土壤物理性质。单位面积出材量与林木生长表现和土壤理化性质无显著相关性,树干生物量的积累能促进单木出材量增大。实现油松建筑材林可持续经营的最佳保留密度为750 ~ 1 050 株/hm2

       

      Abstract:
        Objective  Taking the most suitable main cutting age stand of Pinus tabuliformis construction timber as the research object, starting from the density effect, it is expected to explore the response mechanism of forest growth performance characteristics and soil physical and chemical properties of different forest densities, determine the limiting factors affecting the timber production, improve the cultivation technology of P. tabuliformis construction timber forest in Hebei Province of northern China, and provide guidance for the realization of sustainable forest management.
        Method  The 50, 52 and 56 years old final felling age stands of P. tabuliformis building forests in Pingquan City, Hebei Province were taken as research objects and divided into three density gradients: 450−750 plant/ha for low density, 750−1 050 plant/ha for medium density and 1 050−1 350 plant/ha for high density. The wood growth characteristics and soil physicochemical properties of three stand densities were studied. Pearson correlation analysis was conducted on each growth performance index and soil physicochemical properties. In addition, factor analysis method was used to calculate the comprehensive score and ranking of P. tabuliformis construction timber stands of each density by combining the growth performance and soil quality, and to evaluate their sustainable management ability.
        Result  (1) The wood output per unit of stand was not significantly affected by stand density, but decreased with the decrease of stand density. The wood output per unit of high density stand was the highest, which was 107.87 m3/ha. (2) The average output of single tree of low density P. tabuliformis construction timber forest was 0.256 4 m3, and the biomass of tree trunk per unit area was 148.02 t/ha, which was significantly higher than that of medium density and high density (P<0.01), and more than twice that of medium density and high density. The wood yield of single tree and the proportion of trunk biomass of low density stands reached 84.12% and 68.56%, respectively, which were significantly higher than those of medium and high density stands. (3) In soil physical properties, density effect had a very significant effect on soil density, non capillary porosity, saturated water holding capacity (P<0.01), and had a significant effect on soil total porosity (P<0.05); among the soil chemical properties, the density effect only had a very significant effect on soil available potassium (P<0.01). (4) The output per unit area had no significant correlation with other indicators. The average wood yield per tree was significantly positively correlated with the proportion of trunk biomass (P<0.01), and negatively correlated with non capillary porosity (P<0.05). The proportion of trunk biomass was significantly positively correlated with soil bulk density (P<0.05), significantly negatively correlated with saturated water capacity and total porosity (P<0.05), and extremely significantly negatively correlated with non capillary porosity (P<0.01). (5) The comprehensive quality of stand was the highest at the density of 750−1 050 plant/ha, which was most conducive to the sustainable management of P. tabuliformis building timber forest.
        Conclusion  The trees in low density (450−750 plant/ha) are used to make large-diameter building frame materials, and the trees in medium and high density (750−1 350 plant/ha) are used to make small-diameter spliced materials and furniture, etc. Soil layer mainly affects the chemical properties of soil, while stand density mainly affects the physical properties of soil. There is no significant correlation between wood yield per unit and tree growth performance and soil physicochemical properties. The accumulation of trunk biomass can promote the increase of wood output per tree. The optimal reserve density for sustainable management of P. tabuliformis building timber forest is 750−1 050 plant/ha.

       

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