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引用本文:徐娜,姚艳玲,王铭,王升忠,曹议文,徐志伟,李鸿凯,董彦民.新疆巴音布鲁克高寒沼泽湿地植物群落空间分布与环境解释.湖泊科学,2017,29(2):409-419. DOI:10.18307/2017.0217
XU Na,YAO Yanling,WANG Ming,WANG Shengzhong,CAO Yiwen,XU Zhiwei,LI Hongkai,DONG Yanmin.Spatial distribution of plant communities and environmental interpretation in Xinjiang Bayanbulak marsh. J. Lake Sci.2017,29(2):409-419. DOI:10.18307/2017.0217
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新疆巴音布鲁克高寒沼泽湿地植物群落空间分布与环境解释
徐娜1, 姚艳玲2, 王铭1,3, 王升忠1,3, 曹议文1, 徐志伟1,3, 李鸿凯1,3, 董彦民1
1.东北师范大学泥炭沼泽资源研究所, 长春 130024;2.松辽流域水资源保护局松辽水环境科学研究所, 长春 130024;3.东北师范大学国家环境保护湿地生态与植被恢复重点实验室, 长春 130024
摘要:
为探明巴音布鲁克高寒沼泽湿地植物群落与环境因子的关系,采用样线与样方结合的方法,于2014-2015年在天鹅湖沼泽湿地进行植物群落调查与环境因子测定.结果显示,巴音布鲁克天鹅湖沼泽湿地植物共有35种,隶属于19科27属.方差分析表明,地表积水条件显著影响植物群落物种多样性,随着地表积水减少,物种丰富度和Shannon-Wiener指数呈现上升趋势,Pielou指数呈现下降趋势,说明随着地表积水的减少,植物群落的物种多样性逐渐增加.冗余分析与偏冗余分析表明,所有环境因子共解释了植物群落物种组成变异的67.9%.水位与土壤全氮含量对物种组成的总效应达到显著水平,土壤全氮含量的净效应达到极显著水平,但全磷含量和有机碳含量的总效应与净效应均未达到显著水平.研究表明,积水条件和土壤氮含量是巴音布鲁克天鹅湖沼泽湿地植物群落物种组成和分布的主要环境驱动因子.
关键词:  植物群落  高寒沼泽湿地  环境因子  物种组成  巴音布鲁克
DOI:10.18307/2017.0217
分类号:
基金项目:环保公益性行业科研专项(201309041)、国家自然科学基金项目(41501090)和科技部基础性工作专项(201113207)联合资助.
Spatial distribution of plant communities and environmental interpretation in Xinjiang Bayanbulak marsh
XU Na1, YAO Yanling2, WANG Ming1,3, WANG Shengzhong1,3, CAO Yiwen1, XU Zhiwei1,3, LI Hongkai1,3, DONG Yanmin1
1.Institute for Peat and Mire Research, Northeast Normal University, Changchun 130024, P. R. China;2.Songliao Institute of Water Environmental Science, Songliao River Basin Water Resources Protection Bureau, Changchun 130024, P. R. China;3.Key Laboratory of Wetland Ecology and Vegetation Restoration of National Environmental Protection, Changchun 130024, P. R. China
Abstract:
In order to explore the relationships between the vegetation and environmental factors in Bayanbulak Swan Lake alpine wetland, vegetation survey was conducted and environmental factors, including water table (WT), total nitrogen content (TN), soil organic carbon(SOC), and total phosphorus (TP), were measured in 2014 and 2015. The results showed that a total of 35 plant species belonging to 19 families and 27 genera were identified in Bayanbulak Swan Lake alpine wetland. One-way ANOVA revealed that species composition and richness were significantly affected by the surface water level. Species richness and Shannon-Wiener index increased, and the Pielou index decreased with the decreasing of surface water level. The RDA and partial RDA analyses revealed that four environmental variables totally explained 67.9% of total variations in species composition, of which the gross effects of WT and TN on species composition were significant and the net effect of TN was also significant. However, the gross and net effects of SOC and TP was not significant. Overall, our results indicate that WT and TN are two important determinants of the vegetation composition and its distribution in Bayanbulak Swan Lake alpine wetland.
Key words:  Plant community  alpine wetland  environment factors  species composition  Bayanbulak
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