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李业宇, 曹帮华, 倪智雄, 宋 勇, 黄 恒, 赵文轩, 付锦雪. 徂徕山刺槐人工林立地分类及立地质量评价[J]. 浙江林业科技, 2020, 40(3): 38-44. DOI: 10.3969/j.issn.1001-3776.2020.03.006
引用本文: 李业宇, 曹帮华, 倪智雄, 宋 勇, 黄 恒, 赵文轩, 付锦雪. 徂徕山刺槐人工林立地分类及立地质量评价[J]. 浙江林业科技, 2020, 40(3): 38-44. DOI: 10.3969/j.issn.1001-3776.2020.03.006
LI Ye-yu, CAO Bang-hua, NI Zhi-xiong, SONG Yong, HUANG Heng, ZHAO Wen-xuan, FU Jin-xue. Site Classification and Quality Evaluation of Robinia pseudoacacia Plantation in Culai Mountain[J]. Journal of Zhejiang Forestry Science and Technology, 2020, 40(3): 38-44. DOI: 10.3969/j.issn.1001-3776.2020.03.006
Citation: LI Ye-yu, CAO Bang-hua, NI Zhi-xiong, SONG Yong, HUANG Heng, ZHAO Wen-xuan, FU Jin-xue. Site Classification and Quality Evaluation of Robinia pseudoacacia Plantation in Culai Mountain[J]. Journal of Zhejiang Forestry Science and Technology, 2020, 40(3): 38-44. DOI: 10.3969/j.issn.1001-3776.2020.03.006

徂徕山刺槐人工林立地分类及立地质量评价

Site Classification and Quality Evaluation of Robinia pseudoacacia Plantation in Culai Mountain

  • 摘要: 对徂徕山不同立地条件的刺槐Robinia pseudoacacia 人工林进行调查,并进行立地分类与立地质量评价。利用回归分析和数量化理论Ⅰ确定了徂徕山刺槐生长的主导环境因子为坡向、坡度和土层厚度;构建了徂徕山刺槐人工林立地质量评价模型:Y=1.677+0.251X4+0.019X2+0.033X3。利用这一模型将徂徕山立地分6 类,并对立地质量数量化评价:得分值大于16.698 1 的立地适宜发展刺槐,而得分值小于16.698 1 的立地则不适宜刺槐的生长。

     

    Abstract: Investigations were carried out on 25-year Robinia pseudoacacia plantations in Culai Mountain, Tai’an, Shandong province. Temporary sample plots were established in stands with different site condition for site quality evaluation. Regression analysis and quantified model I demonstrated that the dominant environmental factors for the growth of R. pseudoacacia were slope aspect, slope gradient and soil thickness. Site quality evaluation model for R. pseudoacacia plantation in Culai Mountain was Y=1.677+0.251X4+0.019X2+0.033X3. R. pseudoacacia plantation in Culai Mountain could be divided into 6 types by the model. Quantification evaluation on site quality indicated that site with score greater than 16.698 was suitable for the growth of R. pseudoacacia.

     

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