Plant functional traits match grazing gradient and vegetation patterns on mountain pastures in SW Kyrgyzstan

IF 0.8 4区 生物学 Q4 ECOLOGY Phytocoenologia Pub Date : 2013-11-01 DOI:10.1127/0340-269X/2013/0043-0542
P. Borchardt, J. Oldeland, J. Ponsens, U. Schickhoff
{"title":"Plant functional traits match grazing gradient and vegetation patterns on mountain pastures in SW Kyrgyzstan","authors":"P. Borchardt, J. Oldeland, J. Ponsens, U. Schickhoff","doi":"10.1127/0340-269X/2013/0043-0542","DOIUrl":null,"url":null,"abstract":"Transformation processes in countries like Kyrgyzstan often lead to intensifi cation or extensifi cation of grazing on mountain pastures. In order to reveal the impact of livestock grazing on vegetation patterns, we examined traits of dominant and frequent species in four previously classifi ed plant communities. In particular we analysed trait-environment relationships using multivariate RLQ analysis and univariate fourth-corner statistics in order to identify most relevant environmental gradients. Functional Response Groups (FRG’s) of plant taxa were derived from clustered RLQ ordination space, and were subsequently analysed for their proportionality in previously identifi ed plant communities. Plant height, growth form, lateral spread, fl owering time and life cycle showed a high degree of correlation with grazing. RLQ analysis revealed a high differentiation of plant trait values along a grazing gradient on the fi rst RLQ axis. FRG’s matched three of four vegetation types by constancy and fi delity values (phi) well. Thus, trait-based analyses were successfully used to identify functionally similar groups of species with regard to different regimes of grazing pressure.","PeriodicalId":54607,"journal":{"name":"Phytocoenologia","volume":"43 1","pages":"171-181"},"PeriodicalIF":0.8000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1127/0340-269X/2013/0043-0542","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytocoenologia","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1127/0340-269X/2013/0043-0542","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 11

Abstract

Transformation processes in countries like Kyrgyzstan often lead to intensifi cation or extensifi cation of grazing on mountain pastures. In order to reveal the impact of livestock grazing on vegetation patterns, we examined traits of dominant and frequent species in four previously classifi ed plant communities. In particular we analysed trait-environment relationships using multivariate RLQ analysis and univariate fourth-corner statistics in order to identify most relevant environmental gradients. Functional Response Groups (FRG’s) of plant taxa were derived from clustered RLQ ordination space, and were subsequently analysed for their proportionality in previously identifi ed plant communities. Plant height, growth form, lateral spread, fl owering time and life cycle showed a high degree of correlation with grazing. RLQ analysis revealed a high differentiation of plant trait values along a grazing gradient on the fi rst RLQ axis. FRG’s matched three of four vegetation types by constancy and fi delity values (phi) well. Thus, trait-based analyses were successfully used to identify functionally similar groups of species with regard to different regimes of grazing pressure.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
吉尔吉斯斯坦西南部山地牧场植物功能性状与放牧梯度和植被格局相匹配
吉尔吉斯斯坦等国的转型过程往往导致山地牧场放牧的强化或扩大。为了揭示放牧对植被格局的影响,研究了4个已分类植物群落的优势种和频繁种的特征。特别是,我们使用多变量RLQ分析和单变量四角统计来分析性状-环境关系,以确定最相关的环境梯度。从聚类RLQ排序空间中得到植物类群的功能响应群(FRG),并分析其在已确定植物群落中的比例性。株高、生长形态、侧展、开花时间和生命周期与放牧关系密切。RLQ分析表明,在第1个RLQ轴上,植物性状值沿放牧梯度呈高度分化。FRG在稳定性和保真度值(phi)方面与四种植被类型中的三种匹配良好。因此,基于性状的分析被成功地用于识别在不同放牧压力下功能相似的物种群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Phytocoenologia
Phytocoenologia 生物-植物科学
CiteScore
2.60
自引率
0.00%
发文量
7
审稿时长
>12 weeks
期刊介绍: Phytocoenologia is an international, peer-reviewed journal of plant community ecology. It is devoted to vegetation survey and classification at any organizational and spatial scale and without restriction to certain methodological approaches. The journal publishes original papers that develop new vegetation typologies as well as applied studies that use such typologies, for example, in vegetation mapping, ecosystem modelling, nature conservation, land use management or monitoring. Particularly encouraged are methodological studies that design and compare tools for vegetation classification and mapping, such as algorithms, databases and nomenclatural principles. Papers dealing with conceptual and theoretical bases of vegetation survey and classification are also welcome. While large-scale studies are preferred, regional studies will be considered when filling important knowledge gaps or presenting new methods.
期刊最新文献
Phytosociological study and veld condition of Reedsdell farm in the North-Eastern Cape Grasslands Priority areas, South Africa National vegetation database of Montenegro FUN-VIOLA: FUNctional traits of VegetatIOn of centraL Apennines Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach Changes in species diversity and floristic composition over sixty years in plant communities with Aflatunia ulmifolia in mountainous Kazakhstan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1