Distance and environmental difference in alpine plant communities

被引:3
作者
Malanson, George P. [1 ]
Zimmerman, Dale L. [2 ]
Fagre, Daniel B. [3 ]
机构
[1] Univ Iowa, Dept Geog & Sustainabil Sci, Iowa City, IA 52242 USA
[2] Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA USA
[3] US Geol Survey, Northern Rocky Mt Sci Ctr, West Glacier, MT USA
基金
美国国家科学基金会;
关键词
Beta diversity; biogeography; Mantel correlation; Moran eigenvectors; tundra; SPATIAL AUTOCORRELATION; SPECIES COMPOSITION; MANTEL TEST; NICHE; BIODIVERSITY; VEGETATION; MOUNTAINS; DIVERSITY; ELEVATION; DYNAMICS;
D O I
10.1080/02723646.2017.1327284
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Differences in plant communities are a response to the abiotic environment, species interactions, and dispersal. The role of geographic distance relative to the abiotic environment is explored for alpine tundra vegetation from 319 plots of four regions along the Rocky Mountain cordillera in the USA. The site by species data were ordinated using nonmetric multidimensional scaling to produce dependent variables for use in best-subsets regression. For independent variables, observations of local topography and microtopography were used as environmental indicators. Two methods of including distance in studies of vegetation and environment are used and contrasted. The relative importance of geographic distance in accounting for the pattern of alpine tundra similarity indicates that location is a factor in plant community composition. Mantel tests provide direct correlations between difference and distance but have known weaknesses. Moran spatial eigenvectors used in regression based approaches have greater geographic specificity, but require another step, ordination, in creating a vegetation variable. While the spatial eigenvectors are generally preferable, where species-environment relations are weak, as seems to be the case for the alpine sites studied here, the fewer abstractions of the Mantel test may be useful.
引用
收藏
页码:489 / 505
页数:17
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