Arid
DOI10.1002/eco.1258
Distribution patterns of groundwater-dependent vegetation species diversity and their relationship to groundwater attributes in northwestern China
Zhu, JunTao1; Yu, JingJie1; Wang, Ping1; Yu, Qiang2; Eamus, Derek2
通讯作者Yu, JingJie
来源期刊ECOHYDROLOGY
ISSN1936-0584
出版年2013
卷号6期号:2页码:191-200
英文摘要

The study of the patterns of plant species diversity and the factors influencing these patterns is the basis of ecology and is also fundamental to conservation biology. Groundwater-dependent vegetation (GDV) must have access to groundwater to maintain their growth and function, and this is especially common in arid and semi-arid regions, including north-western China. In this paper, plant species diversity and groundwater attributes (composition and depth) were investigated in 31 plots in the Ejina Delta in north-western China to determine whether groundwater attributes influenced patterns species diversity in GDV. Detrended canonical correspondence analyses and generalised additive models were performed to analyse the data. A total of 29 plant species were recorded in the 31 plots; perennial herbs with deep roots had an advantage over all other groups, and GDV species diversity was primarily affected by groundwater depth (GWD), salinity (SAL) and total dissolved solids (TDS), HCO3, Ca2+, pH, and SO42. The herb layer species diversity and total species diversity reached their maximum in similar, moderate environmental conditions. The diversity of the tree species was influenced by SAL and TDS and was maximal at large values of GWD and low values of SAL and TDS. The diversity of shrub species was affected by Ca2+ and Mg2+ and was maximal low GWD and high SAL and TDS. Patrick’s and ShannonWiener’s index of the total community diversity presented a bimodal pattern along gradients of GWD and SAL, whilst Simpson’s and Pielou’s index showed a partially unimodal pattern. On the basis of field investigation and the analysis of field data, we concluded that the perfect combination of GWD and SAL for GDV species diversity is 2m and 1 center dot 8gl1, respectively. The appropriate combination range is 25m and 1 center dot 84 center dot 2gl1, and the critical combination for the damaged GDV species diversity is 5m and 4 center dot 2gl1. Copyright (c) 2012 John Wiley & Sons, Ltd.


英文关键词distribution pattern species diversity groundwater-dependent vegetation groundwater attributes in north-western China
类型Article
语种英语
国家Peoples R China ; Australia
收录类别SCI-E
WOS记录号WOS:000317676600004
WOS关键词HEIHE RIVER-BASIN ; LOWER REACHES ; ALTITUDINAL GRADIENT ; COMMUNITY STRUCTURE ; TARIM RIVER ; FUNCTIONAL METHODOLOGY ; PLANT-COMMUNITIES ; EJINA BASIN ; NEW-ZEALAND ; RICHNESS
WOS类目Ecology ; Environmental Sciences ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Water Resources
来源机构中国科学院地理科学与资源研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/176671
作者单位1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
2.Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster, Sydney, NSW 2007, Australia
推荐引用方式
GB/T 7714
Zhu, JunTao,Yu, JingJie,Wang, Ping,et al. Distribution patterns of groundwater-dependent vegetation species diversity and their relationship to groundwater attributes in northwestern China[J]. 中国科学院地理科学与资源研究所,2013,6(2):191-200.
APA Zhu, JunTao,Yu, JingJie,Wang, Ping,Yu, Qiang,&Eamus, Derek.(2013).Distribution patterns of groundwater-dependent vegetation species diversity and their relationship to groundwater attributes in northwestern China.ECOHYDROLOGY,6(2),191-200.
MLA Zhu, JunTao,et al."Distribution patterns of groundwater-dependent vegetation species diversity and their relationship to groundwater attributes in northwestern China".ECOHYDROLOGY 6.2(2013):191-200.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhu, JunTao]的文章
[Yu, JingJie]的文章
[Wang, Ping]的文章
百度学术
百度学术中相似的文章
[Zhu, JunTao]的文章
[Yu, JingJie]的文章
[Wang, Ping]的文章
必应学术
必应学术中相似的文章
[Zhu, JunTao]的文章
[Yu, JingJie]的文章
[Wang, Ping]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。