河北省塞罕坝保护区天然植物群落数量分类

运用双向指示种(TWINSPAN)和除趋势典范对应分析(DCCA)等方法定量分析了河北省塞罕坝保护区天然植物群落分布与环境因子的关系.结果表明: 塞罕坝保护区天然植物群落可划分为8种类型,即地榆+异穗苔草+金莲花群落、地榆+老芒麦+毛蕊老鹳草群落、披针叶苔草+铁丝草群落、柔毛绣线菊-铁杆蒿群落、山杏+柔毛绣线菊-铁杆蒿+披针叶苔草群落、蒙古栎+硕桦-胡枝子+柔毛绣线菊-披针叶苔草群落、白桦+山杨-毛榛+山刺玫-糙苏+披针叶苔草+唐松草群落、云杉+白桦-山刺玫+河北柳-披针叶苔草+节节草群落;DCCA分析表明,坡位和土壤养分是影响塞罕坝保护区天然植物群落空间分布的主要因子.地形、空间和土壤因子解释了物种格局变异的34.02%,其中,土壤因子占15.67%,地形因子占10.05%,空间因子占6.00%.在各类因子间的交互作用(2.30%)中,土壤和地形因子的交互作用最大(0.93%),土壤、地形和空间因子三者的交互作用最小(0.16%).65.98%未能解释的部分,可能归因于未被选取的因子如种间的协同和竞争作用或者人为干扰.

Quantitative classification of natural plant communities in the Saihanba National Nature Reserve,Hebei Province,China.

Quantitative analysis of the relationships between the distribution of natural plant communities and environmental factors was studied using two-way indicator species analysis (TWINSPAN) and detrended canonical correspondence analysis (DCCA) methods, in the Saihanba National Nature Reserve in Hebei Province. The results showed that the natural plant communities in the Saihanba Reserve could be classified into eight types, i.e., Sanguisorba officinalis + Carex heterostachya + Trollius chinensis community, S. officinalis + Elymus sibiricus + Geranium platyanthum community, C. lanceolata + Ophiopogon chingii community, Spiraea pubescens - Tripolium vulgare community, Armeniaca sibirica + S. pubescens - T. vulgare + C. lanceolata community, Quercus mongolica + Betula costata - Lespedeza bicolor + S. pubescens - C. lanceolata community, Betula platyphylla + Populus davidiana - Corylus mandshurica + Rosa davurica - Phlomis umbrosa + C. lanceolata + Thalictrum aquilegifolium community and Picea asperata + B. platyphylla - Rosa davurica + Salix taishanensis var. hebeinica - C. lanceolata + Commelina diffusa community. DCCA analysis indicated that slope position and soil nutrients were the main influence factors for the spatial distribution of natural plant communities in the Saihanba National Nature Reserve. Topographic, spatial and soil factors accounted for 34.02% of the variation of species pattern. Of the variation, soil factors accounted for 15.67%, topographic factors 10.05% and spatial factors 6.00%. In the interactions among all factor combinations (2.30%), the interaction between soil and topographic factors was the largest (0.93%), and the interaction among soil, topographic and spatial factors was the least (0.16%). The unexplained portion accounted for 65.98% of spatial distribution, which might be due to anthropogenic disturbance or interspecific competition.