黄河故道刺槐人工林不同径级林木空间结构特征

Spatial Structural Characteristics of Different DBH Groups in Robinia pseudoacacia Plantation in the Old Course of Yellow River

  • 摘要: 对黄河故道刺槐人工林100 m × 100 m固定样地进行每木定位和调查,利用混交度( M_i )、大小比数( U_i )、角尺度( W_i )和密集度( C_i )分别描述不同径级林木空间结构异质性,并采用修正的林分空间结构指数(FSSI)和林分空间结构距离(FSSD)以及林木竞争指数SCI对林分整体的结构进行分析。结果表明:林分中约60.0%的林木呈随机分布或同种伴生,不同径阶林木中随机分布或零度混交林木达55.0%以上;特大径木中47.1%为非常稀疏林木,在绝对劣势林木比例最小,而小径木中57.7%为非常密集林木,但在亚优势木中比例最大;林分中大径木的空间结构最好(FSSI=0.062、FSSD=1.041),特大径木最差,不同径阶林木均处于弱度竞争状态,但小径木竞争强度更大。因此,黄河故道刺槐人工林不同径级空间结构较差,亟需森林结构调整和优化,以精准提升森林生产力,助力黄河流域生态保护和高质量发展。

     

    Abstract: Each tree in the 100 m × 100 m permanent sample plot of the Robinia pseudoacacia plantation in the Old Course of Yellow River was located and surveyed. The mingling( M_i ), dominance( U_i ), uniform angle index( W_i ) and crowding( C_i ) were calculated to describe the heterogeneity of spatial structure for different diameter at breast height(DBH) class trees. The revised forest spatial structure index(FSSI) and forest spatial structure distance(FSSD), and structure-based competition index(SCI) were used to describe the structural characteristics of the whole stand. The results showed that there were about 60.0% of the individual trees randomly distributed or associated with the same species, and more than 55.0% trees were randomly distributed or mixed at zero degrees in different DBH group; 47.1% of the super-large trees were very sparse, and occupied the smallest proportion of absolute inferior trees. While 57.7% of the small-diameter trees were very dense trees, and occupied the largest proportion of sub-dominant trees. The spatial structure of large trees was the best(FSSI=0.062, FSSD=1.041), and that of super-large trees was the worst. All the trees of different DBH groups were in weak competition state, but the competition intensity of small diameter trees was stronger. Therefore, the spatial structure of different DBH groups for the R. pseudoacacia plantation in the Old Course of Yellow River was poor, being urgent to adjust and optimize forest structure so as to accurately improve forest productivity, and to help the ecological protection and high-quality development of the Yellow River Basin.

     

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