植物生态学报 ›› 2001, Vol. 25 ›› Issue (6): 733-740.

所属专题: 青藏高原植物生态学:植被生态学

• 论文 • 上一篇    下一篇

祁连山北坡中段森林植被梯度分析及环境解释

王国宏,杨利民   

  • 发布日期:2001-06-10
  • 通讯作者: 王国宏

Gradient Analysis and Environmental Interpretation of Woody Plant Communities in the Middle Section of the Northern Slopes of Qilian Mountain, Gansu, China

WANG Guo-Hong and YANG Li-Min   

  • Published:2001-06-10
  • Contact: ZHANG Yuan-Dong

摘要: 利用梯度分析方法,对祁连山北坡中段森林植被类型进行了划分,并探讨了植被空间格局与环境梯度的关系。结果表明:1)76个样方可划分为9个群系,即盐爪爪(Kalidium foliatum)灌丛、红砂(Reaumuria soongorica)灌丛、白刺(Nitraria tangutorum)灌丛、蒙古莸(Caryopteris mongolica)灌丛、狭叶锦鸡儿(Caragana stenophylla)灌丛、青海云杉(Picea crassifolia)林、祁连圆柏(Sabina przewalskii)林、金露梅(Potentilla fruticosa)灌丛和鬼箭锦鸡儿(Caragana jubata)灌丛。2)53个木本植物种类可划分为5个生态类型:即超旱生荒漠类型、山地旱生类型、山地中生类型、山地湿生类型、山地高寒类型。3)群落类型及物种生态型的划分主要反映了海拔梯度所决定的水热梯度及坡向和土壤腐殖质变化的内涵。4)影响群落物种多度格局的变量中,环境和空间因子解释了物种多度变化的23.98%,其中环境因子占17.66%,空间因子占1.40%,空间因子和环境因子交互作用解释的部分占4.92%,空间因子和环境因子未能解释的部分占76.02%,这部分主要反映了群落自身互作及人类活动(采伐、放牧)对群落物种多度格局的影响。

Abstract: A multivariate analysis of woody plant communities with a 76 × 53 (sites x species) species matrix, 76 × 8 environment matrix and 76×2 spatial coordinates surveyed in the mid-section of northern slopes of Qilian mountain is presented. The results show: 1)nine communities (9 formations consisting of 17 associations) are identified from the 76 plots ( Kalidium foliatum shrubland, Reaumuria soongorica shrub, Nitraria tangutorum shrubland, Caryopteris mongolica shrubland, Caragana stenophylla shrubland, Caragana jubata shrubland, Potentilla fruticosa shrubland, Sabina przewalskii forest, and Picea crassifolia forest; 2) fifty-three woody plant species are classified into 5 ecotypes: hyper-desert, montane dry, montane intermediate, montane wet, and montane cold types; 3) the species abundance of woody plant communities explained by environmental and spatial variations reaches 23.98%;among these the species matrix explained by non-spatial environmental variation accounts for up to 17.66 % of variation, spatial variation that is not shared by environmental variation explains up to 1.40%, spatial structured environmental variation up to 4.92% and 76.02 % of undetermined variation remains due to biological and random factors.