Qin Peng Yao, Yang Hui Juan, Jiang Feng Ling, Zhang Shu Bin, Tian Xiao Min, Huang Xuan Rui, Zhang Zhi Dong
Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection/College of Forestry, Agricultural University of Hebei, Baoding 071000, Hebei, China.
College of Garden and Tourism, Agricultural University of Hebei, Baoding 071000, Hebei, China.
Ying Yong Sheng Tai Xue Bao. 2016 May;27(5):1383-1392. doi: 10.13287/j.1001-9332.201605.007.
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.
利用双向指示种分析法（TWINSPAN）和去趋势典范对应分析法（DCCA），对河北省塞罕坝国家级自然保护区天然植物群落分布与环境因子之间的关系进行了定量分析。结果表明，塞罕坝自然保护区的天然植物群落可分为8种类型，即地榆+异穗苔草+金莲花群落、地榆+披碱草+宽叶老鹳草群落、披针叶苔草+麦冬群落、柔毛绣线菊-碱菀群落、山杏+柔毛绣线菊-碱菀+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+刺玫蔷薇-糙苏+披针叶苔草+华北耧斗菜群落以及白杄+白桦-刺玫蔷薇+泰山柳河北变种-披针叶苔草+鸭跖草群落。DCCA分析表明，坡位和土壤养分是塞罕坝国家级自然保护区天然植物群落空间分布的主要影响因素。地形、空间和土壤因子对物种格局变异的解释量为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%。在所有因子组合的交互作用中（2.30%），土壤与地形因子的交互作用最大（0.93%），土壤、地形和空间因子的交互作用最小（0.16%）。未解释部分占空间分布的65.98%，这可能是由于人为干扰或种间竞争所致。
