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
P. Borchardt, J. Oldeland, J. Ponsens, U. Schickhoff
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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.
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。
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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.
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