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河北省冬小麦田杂草群落特征
引用本文:李秉华,王贵启,魏守辉,樊翠芹,黄红娟,张朝贤.河北省冬小麦田杂草群落特征[J].植物保护学报,2013,40(1):83-88.
作者姓名:李秉华  王贵启  魏守辉  樊翠芹  黄红娟  张朝贤
作者单位:河北省农林科学院粮油作物研究所, 石家庄 050035;河北省农林科学院粮油作物研究所, 石家庄 050035;中国农业科学院植物保护研究所, 北京 100193;河北省农林科学院粮油作物研究所, 石家庄 050035;中国农业科学院植物保护研究所, 北京 100193;中国农业科学院植物保护研究所, 北京 100193
基金项目:国家科技支撑计划(2012BAD19B02);河北省科技支撑项目(12220301D)
摘    要:为了明确河北省冬小麦田杂草的群落组成和结构,采用倒置"W"取样法对河北省7个地区146块冬小麦田的杂草进行了调查和物种多样性测度。结果显示,河北省冬小麦田有61种杂草,隶属于21科53属,播娘蒿、打碗花、荠菜、麦瓶草和麦家公是河北省冬小麦田的优势杂草。保定地区麦田杂草群落的物种丰富度最大;沧州地区麦田杂草群落的Shannon-Wiener指数和Pielou指数最大;廊坊地区麦田杂草群落的Gleason指数、Shannon-Wiener指数和Pielou指数最小,优势草种比较突出。经聚类分析和主成分分析,河北省冬小麦田杂草群落分为3组:石家庄、保定、邢台和廊坊的麦田杂草群落中耐旱杂草的相对多度较高;沧州和衡水的麦田杂草群落中耐盐杂草的相对多度较高;邯郸的麦田杂草群落中喜湿杂草的相对多度较高。说明土壤的盐度和湿度是影响河北省冬小麦田杂草群落组成的主要生态因子。

关 键 词:冬小麦田  杂草群落  群落多样性  系统聚类分析  主成分分析
收稿时间:2012/7/25 0:00:00

Characterization of weed community in winter wheat in Hebei Province
Li Binghu,Wang Guiqi,Wei Shouhui,Fan Cuiqin,Huang Hongjuan and Zhang Chaoxian.Characterization of weed community in winter wheat in Hebei Province[J].Acta Phytophylacica Sinica,2013,40(1):83-88.
Authors:Li Binghu  Wang Guiqi  Wei Shouhui  Fan Cuiqin  Huang Hongjuan and Zhang Chaoxian
Institution:Institute of Food and Oil, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, Hebei Province, China;Institute of Food and Oil, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, Hebei Province, China;Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China;Institute of Food and Oil, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, Hebei Province, China;Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China;Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
Abstract:In order to understand the weed composition and characterization in winter wheat in Hebei Province, the weeds of 146 winter wheat fields was investigated using the method of inverted W-pattern with 9 sampling points. The results showed that 61 weed species belonged to 53 genera of 21 families, with Descurainia sophia (L.) Schur, Calystegia hederacea Wall.Ex Roxb, Capsella bursa-pastoris (L.) Medic, Silene conoidea L. and Lithospermum arvense L. as dominate species in Hebei Province. Weeds in Baoding wheat fields possessed highest species richness and Gleason index, while highest Shannon-Wiener index and Pielou index appeared in Cangzhou wheat fields. Weeds in Langfang wheat fields had lowest species richness, Shannon-Wiener index and Pielou index, but highest Simpson index. Q cluster analysis and principal component analysis (PCA) revealed that weeds in Hebei Province were in 3 groups: abundant drought tolerant weed species in Shijiazhuang, Baoding, Xingtai and Langfang, Cangzhou and Hengshui with more saline tolerant or hygrophilous species, and Handan with more hygrophilous species. These results indicated that salinity and moisture of soil were the main ecological factors to affect the characterization of weed communities in winter wheat fields in Hebei Province.
Keywords:winter wheat  weed community  community diversity  hierarchical cluster analysis  principal component analysis
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