拉萨河中下游流域典型湿地植物群落的数量分类与排序  

Quantitative classification and ordination of typical wetland plant communities in the middle and lower reaches of the Lhasa River

作　　者：王净杰 万丹[1] 高鑫 陈松炎 朱建航 张炜 周金龙 李超 刘钟元 骆师堂 WANG Jingjie;WAN Dan;GAO Xin;CHEN Songyan;ZHU Jianhang;ZHANG Wei;ZHOU Jinlong;LI Chao;LIU Zhongyuan;LUO Shitang(Resources&Environment College,Xizang Agricultural and Animal Husbandry University,Linzhi Xizang,860000,China)

机构地区：[1]西藏农牧学院资源与环境学院,西藏林芝860000

出　　处：《高原农业》2024年第2期135-143,共9页Journal of Plateau Agriculture

基　　金：西南高山峡谷区水土流失综合防治技术与示范(编号:2022YFF12900)。

摘　　要：为了更好的保护和修复拉萨河流域湿地生态系统,提升湿地的生态和社会价值。以拉萨河中下游流域5种典型湿地的植被群落为研究对象,共布置100个样方。运用群落类型划分方法、CCA排序和NMDS分析方法,探讨拉萨河中下流域5种典型湿地的植物群落数量分类及分布与环境梯度间的关系。结果表明:(1)拉萨河中下流域5种典型湿地的植物群落可划分为3种类型,即高山嵩草、蕨麻委陵菜草本群落为研究区的主要群落,沿线植被分布与环境梯度间的关系显著。(2)CCA二维排序图、NMDS分析将样地分为3个生态类型,间接验证了SPSS群落类型划分的结果。(3)研究区内地形复杂,小气候作用显著,考虑到环境因子数据的CCA排序效果好于仅采用植物样方数据的SPSS群落类型划分。因此,将CCA二维排序与SPSS聚类分析结合使用,能很好反映物种与环境因子间的生态关系。In order to better protect and restore the wetlands in the Lhasa River Basin,and enhance the ecological and social value of the wetlands.The vegetation community of five typical wetlands in the middle and lower reaches of Lhasa River was taken as the research object,and 100 quadrats were arranged.The relationship between the quantitative classification and distribution of plant community of five typical wetlands in the middle and lower reaches of the Lhasa River and the environmental gradient was discussed by using community type classification,CCA ordination and NMDS analysis methods.Results(1)The plant community of the five typical wetlands in the middle and lower reaches of the Lhasa River can be divided into three types,namely,Kobresia alpine and Potentilla anserina herb communities are the main communities in the study area.The relationship between vegetation distribution along the route and environmental gradients is significant.(2)The CCA two-dimensional sorting map and NMDS analysis divided the sample land into three ecological types,indirectly verifying the results of SPSS community type classification. (3) The terrain in the study area is complex, and the microclimate effect is significant. Considering that the CCA sorting effect of environmental factor data is better than the SPSS community type classification using only plant plot data. combining CCA two-dimensional sorting with SPSS clustering analysis can effectively reflect the ecological relationship between herbaceous communities and environmental factors.

关 键 词：拉萨河流域 草本 分类 排序 

分 类 号：S157[农业科学—土壤学]