中文摘要：

利用双向指示种分析和去趋势典范对应分析的方法，对典型河口滨海湿地黄河三角洲植物群落类型和结构进行了分析，并探讨了植物群落分布格局及其影响因素。结果表明：134个样方可划分为7个群系，即刺槐群落（Form．Robinia pseucdoacacia）、荻群落（Form．Miscanthus saccharifleus）、翅碱蓬群落（Form．Suaeda heteroptera）、獐毛群落（Form．Aelurbpus sinensis）、芦苇群落（Form．Phragmites communis）、柽柳群落（Form．Tamarix chinensis）和白茅群落（Form．Imperata cylindrica）。群落类型的划分主要反映了微地貌所决定的地下水埋深及土壤盐分含量的变化。影响植物群落分布格局的因素中，环境因子解释的部分占45.2％，空间因子解释的部分占11．8％，空间因子和环境因子交互作用解释的部分占2．2％，空间因子和环境因子未能解释的部分占40．8％，这部分主要反映了群落自身互作及人类活动对群落的影响。图2表3参23。

英文摘要：

Types and structure of plant communities in the Yellow River Delta were investigated by using detrended canonical correspondence analyses （DCCAs） and a two-way indicator species analysis （TWINSPAN）. The distribution pattern and influential factors of the plant communities were also analyzed by testing elevation, slope, soil characteristics, longitude and latitude of 134 vegetation samples collected by representative plot sampling methods. Results showed that all the 134 vegetation samples could be divided into seven vegetation groups, separately dominated by Robinia pseucdoacacia, Imperata cylindrical, Miscanthus saccharifleus, Suaeda salsa, Aeluropus sinensis, Phragmites australis and Tamarix chinensis. The vegetation distribution pattern was mainly related to elevation, ground water depth and soil characteristics such as salinity and soluble potassium. Among the factors affecting distribution pattern of the plant communities, the species matrix explained by non-spatial environmental variation accounts for 45.2% of total variation. Spatial variation and spatial-structured environmental variation explain 11.8%, and 2.2%, respectively. Remained 40.8% of undetermined variation is attributed to biological and stochastic factors.