北京西卓家营采砂迹地型湿地植被优势种种间关系

Interspecific Relationships of Dominant Populations of Vegetation in Sand-mining Land Wetlands in Xizhuojiaying,Beijing

在样方调查的基础上,应用联结性检验(Schluter)和Spearman秩相关系数方法,研究了北京西卓家营采砂迹地型湿地植被优势种种间关系。结果表明,该湿地植物群落物种整体存在显著正关联性;2009年和2010年在显著相关的种对中,表现为正关联的种对还不到20%;与该湿地植物相关的种间关联模式共有21种;基于种间关系的湿地植物恢复优化配置主要模式有9种,即竹节灯心草(Juncus turczaninowii)和问荆(Equisetum arvense)、竹节灯心草和狼把草(Bidens tripartita)、竹节灯心草和菰(Zizania latifolia)、竹节灯心草和扁秆藨草(Scirpus planiculmis)、扁秆藨草和菰、扁秆藨草和朝天委陵菜(Potentilla supina)、扁秆藨草和狼把草、菰和朝天委陵菜、菰和狼把草;芦苇(Phragmites australis)、针蔺(Eleocharis congesta)、小香蒲(Typha minima)与该湿地其他植物之间不存在显著的种间关系。今后在进行北京西卓家营采砂迹地型湿地植被恢复时,应重点恢复单一群落类型,即将芦苇、针蔺和小香蒲恢复成单一种群类型。

Based on the application link test （Schluter）,Spearman＇s rank correlation coefficient test,the interspecific relationships between the dominant species of vegetation in sand-mining land wetlands in Xizhuojiaying,Beijing were analysed.The results showed that there was a significant positive correlation between varieties of wetland plant species with the link test.The significant associated species pairs performance of positive associated was not exceed to 20% in 2009 and 2010.Associated with wetland plant species interspecific relationships modes were 21 kinds.Based on the interspecific relationships of wetland plants to restore the main optimal allocation modes were 9 kinds,such as Juncus turczaninowii＋Equisetum arvense,Juncus turczaninowii ＋ Bidens tripsrtita,Juncus turczaninowii ＋ Zizania latifolia,Juncus turczaninowii ＋ Scirpus planiculmis,Scirpus planiculmis＋Zizania latifolia,Scirpus planiculmis＋Potentilla supine,Scirpus planiculmis＋Bidens tripsrtita,Ziza nia latifolia＋Potentilla supine,Zizania latifolia＋Bidens tripsrtita.Phragmites australis,Eleocharis congesta,Ty pha minima and other wetland plants do not exist significant interspecific relationships,so during the wetland vegetation restoration,the key restoration was restore a single population type,with which Phragmites austra lis,Eleocharis congesta,Typha minima recovery into a single population type.