Document Type

Data Set

Publication Date

2017

Start Page

41

End Page

53

Abstract

Alpine plant communities vary, and their environmental covariates could influence their response to climate change. A single multilevel model of how alpine plant community composition is determined by hierarchical relations is compared to a separate examination of those relations at different scales. Nonmetric multidimensional scaling of species cover for plots in four regions across the Rocky Mountains created dependent variables. Climate variables are derived for the four regions from interpolated data. Plot environmental variables are measured directly and the presence of thirty-seven site characteristics is recorded and used to create additional independent variables. Multilevel and best subsets regressions are used to determine the strength of the hypothesized relations. The ordinations indicate structure in the assembly of plant communities. The multilevel analyses, although revealing significant relations, provide little explanation; of the site variables, those related to site microclimate are most important. In multiscale analyses (whole and separate regions), different variables are better explanations within the different regions. This result indicates weak environmental niche control of community composition. The weak relations of the structure in the patterns of species association to the environment indicates that either alpine vegetation represents a case of the neutral theory of biogeography being a valid explanation or that it represents disequilibrium conditions. The implications of neutral theory and disequilibrium explanations are similar: Response to climate change will be difficult to quantify above equilibrium background turnover.

Keywords

biogeography, scale, species diversity, tundra, vegetation

Comments

Data is uploaded. Article is at:

https://www.tandfonline.com/doi/abs/10.1080/24694452.2016.1218267

Additional Files

DataEnvPlot.xlsx (548 kB)
DataLocationClimate.xlsx (22 kB)

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Geography Commons

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URL

http://ir.uiowa.edu/geog_pubs/221