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.
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.