植物生态学报 ›› 2016, Vol. 40 ›› Issue (11): 1179-1188.DOI: 10.17521/cjpe.2016.0192

• 研究论文 • 上一篇    下一篇

河南木札岭温带落叶阔叶林群落特征及主要乔木空间分布格局

陈云1,*, 王婷1,*, 李培坤2, 姚成亮3, 袁志良2, 叶永忠2,,A;*()   

  1. 1河南农业大学林学院, 郑州 450002
    2河南农业大生命科学学院,郑州 450002
    3洛阳市嵩县五马寺林场, 洛阳 471400
  • 收稿日期:2016-06-06 接受日期:2016-09-21 出版日期:2016-11-10 发布日期:2016-11-25
  • 通讯作者: 陈云,王婷,叶永忠
  • 基金资助:
    国家自然科学基金(30600204)

Community characteristics and spatial distribution of dominant tree species in a deciduous broad-leaved forest of Muzhaling, Henan, China

Yun CHEN1,*, Ting WANG1,*, Pei-Kun LI2, Cheng-Liang YAO3, Zhi-Liang YUAN2, Yong-Zhong YE2,**()   

  1. 1College of Forestry, Henan Agricultural University, Zhengzhou 450002, China

    2College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
    and
    3Wumasi Forestry Farm in Songxian, Luoyang, Henan 471400, China
  • Received:2016-06-06 Accepted:2016-09-21 Online:2016-11-10 Published:2016-11-25
  • Contact: Yun CHEN,Ting WANG,Yong-Zhong YE

摘要:

以木札岭世界地质公园3 hm2的温带落叶阔叶林为研究对象, 分析了群落的物种组成、胸径结构、群落分类和主要物种的空间分布格局。结果显示: 样地内共有木本植物31科52属85种, 以蔷薇科、桦木科、卫矛科、忍冬科、杨柳科和槭树科为主, 锐齿槲栎(Quercus aliena var. acuteserrata)和华山松(Pinus armandii)为群落内优势种, 稀有种和偶见种分别占总物种数的20.0%和28.24%。物种径级分布遵从典型的倒“J”型, 植物群落更新状况良好。多元回归树经过交叉验证认为可将该样地划分为4个群落类型: 1)锐齿槲栎+华山松+秦岭木姜子(Litsea tsinlingensis) +微毛樱桃(Cerasus clarofolia) +三桠乌药(Lindera obtusiloba)群落; 2)锐齿槲栎+腺柳(Salix chaenomeloides) +湖北花楸(Sorbus hupehensis)群落; 3)锐齿槲栎+臭椿(Ailanthus altissima) +微毛樱桃+秦岭木姜子群落; 4)锐齿槲栎+白蜡(Fraxinus chinensis) +秦岭木姜子+山梅花(Philadelphus incanus)群落。在完全随机分布模型下, 样地中主要物种在整个研究尺度中全部呈聚集分布, 并且这些物种主要聚集分布在不同的生境中, 具有明显的地形生境偏好;在异质性泊松分布模型下, 这些物种在不同尺度上主要呈随机分布或规则分布。该研究结果表明地形生境异质性是影响木札岭样地物种空间分布的重要因素。通过该研究可增加对木札岭世界地质公园植物组成、群落结构和群落分布的认识, 同时可为该区域生物多样性保护和森林管理提供参考。

关键词: 森林动态样地, 群落结构, 多元回归树, 点格局, 地形生境异质性

Abstract:

Aims The objective of this paper is to quantify the species composition and spatial distribution pattern in a deciduous broad-leaved forest in temperate to subtropical ecological transition zone.
Methods In this study, a 3-hm2 forest was selected in the temperate to subtropical ecological transition zone to analyze the community species composition, structure of diameter at breast height, community classification and spatial distribution pattern of dominant tree species.
Important findings Our results showed that in the plot there were 85 species, 52 genera and 31 families, mainly composed of Betulaceae, Celastraceae, Caprifoliaceae, Salicaceae and Aceraceae. Quercus aliena var. acuteserrata and Pinus armandii are dominant species of the community tree layer. The rare species and occasional species accounted for 20.0% and 28.24% of total species respectively. Size distribution of all species showed an invert J-shape, which indicates that the community is in a stable and normal growth status. Using multiple regression trees, the community in this plot can be divided into four categories: 1) Quercus aliena var. acuteserrata + Pinus armandii + Litsea tsinlingensis + Cerasus clarofolia + Lindera obtusiloba; 2) Quercus aliena var. acuteserrata + Salix chaenomeloides + Sorbus hupehensis; 3) Quercus aliena var. acuteserrata + Ailanthus altissima + Cerasus clarofolia + Litsea tsinlingensis; 4) Quercus aliena var. acuteserrata + Fraxinus chinensis + Litsea tsinlingensis + Philadelphus incanus. Under the completely random distribution model, the main species in the plot display clustered distributions, with the different species occurring in different habitat types, showing obvious terrain habitat preferences. However, under the heterogeneous Poisson distribution model, these species at different scales are distributed randomly or regularly. This study helps to understand the plant community species composition of the Muzhaling World Geopark, community structure and community distribution. The results show that the terrain habitat heterogeneity is an important factor influencing the spatial distribution of the species. The present work improves the understanding of plant community in Muzhaling World Geopark, and provides technical reference for biodiversity conservation and forest management of this area.

Key words: forest dynamics plot, community structure, multivariate regression tree, point pattern, topography habitat heterogeneity