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乔一娜, 高荣, 曹双成, 等. 榆林沙区樟子松人工林立地质量数量化评价[J]. 四川林业科技, 2023, 44(3): 121−127. DOI: 10.12172/202208300003
引用本文: 乔一娜, 高荣, 曹双成, 等. 榆林沙区樟子松人工林立地质量数量化评价[J]. 四川林业科技, 2023, 44(3): 121−127. DOI: 10.12172/202208300003
QIAO Y N, GAO R, CAO S C, et al. Quantitative evaluation of site quality of Pinus sylvetrisl plantation in Yulin sandy area[J]. Journal of Sichuan Forestry Science and Technology, 2023, 44(3): 121−127. DOI: 10.12172/202208300003
Citation: QIAO Y N, GAO R, CAO S C, et al. Quantitative evaluation of site quality of Pinus sylvetrisl plantation in Yulin sandy area[J]. Journal of Sichuan Forestry Science and Technology, 2023, 44(3): 121−127. DOI: 10.12172/202208300003

榆林沙区樟子松人工林立地质量数量化评价

Quantitative Evaluation of Site Quality of Pinus sylvetrisl Plantation in Yulin Sandy Area

  • 摘要: 为了对榆林沙区樟子松人工林的造林培育及可持续经营提供参考依据。本研究在榆林市榆阳区设置了38块20 m×20 m的樟子松人工林样地,调查了不同林龄樟子松的胸径、树高等生长指标,应用数量化理论Ⅰ预测模型建立樟子松人工林优势木平均树高与立地因子之间的多元回归方程并确定立地评价等级,对樟子松人工林的立地质量进行了数量化评价。结果表明:(1)榆林沙区樟子松人工林随着林龄的增长,樟子松人工林平均胸径、树高均会有显著增长,且在第10~20年增长速度最快。(2)以坡向、海拔和坡位这三个主导因子将樟子松人工林划分为12个立地类型区,进行立地分类结果评价。通过对调查样地进行立地评价,可以看出调查样地中75%的樟子松人工林立地评价等级在中级以上,表明榆林地区的樟子松种植区域立地条件较好,适合樟子松种植。预测方程经过检验达到要求,说明利用数量化理论Ⅰ可以对樟子松人工林进行立地质量评价和生长趋势预测。

     

    Abstract: In order to provide reference for the afforestation cultivation and sustainable management of Pinus sylvetrisl plantation in Yulin sandy area. In this study, 38 sample plots of P. sylvetrisl plantation with 20 m×20 m were set up in Yuyang district of Yulin city, and the growth indexes of DBH and height of P. sylvetrisl plantation at different ages were investigated. Using the prediction model of quantitative theory I, the multivariate regression equation between the average height of dominant trees and site factors in P. sylvetrisl plantation was established, and the site evaluation grade was determined, and the site quality of P. sylvetrisl plantation was quantitatively evaluated. The results showed that: (1) With the growth of forest, the average diameter at breast height and tree height of P. sylvetrisl plantation increased significantly, and the fastest growth rate was in the 10th to 20th years. (2) The P. sylvetrisl plantation was divided into 12 site types with the three dominant factors of slope aspect, elevation and slope position, and the site classification results were evaluated. Based on the site evaluation of the surveyed plots, it could be seen that 75% of the P. sylvetrisl plantation in the surveyed plots had a site evaluation level above the intermediate level, which indicated that the site conditions of the P. sylvetrisl planting area in Yulin area were better and suitable for P. sylvetrisl planting. It showed that the prediction equation had been tested to meet the requirements, indicating that the quantitative theory I could be used to evaluate the site quality and predict the growth trend of the P. sylvetrisl plantation.

     

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