z-logo
open-access-imgOpen Access
Evaluating dominance as a component of non‐native species invasions
Author(s) -
Crall Alycia W.,
Newman Gregory J.,
Stohlgren Thomas J.,
Jarnevich Catherine S.,
Evangelista Paul,
Guenther Deb
Publication year - 2006
Publication title -
diversity and distributions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.918
H-Index - 118
eISSN - 1472-4642
pISSN - 1366-9516
DOI - 10.1111/j.1366-9516.2005.00228.x
Subject(s) - bromus tectorum , species richness , dominance (genetics) , ecology , introduced species , invasive species , biology , native plant , vegetation (pathology) , medicine , biochemistry , pathology , gene
Many studies have quantified plant invasions by determining patterns of non‐native species establishment (i.e. richness and absolute cover). Until recently, dominance has been largely overlooked as a significant component of invasion. Therefore, we re‐examined a 6‐year data set of 323 0.1 ha plots within 18 vegetation types collected in the Grand Staircase‐Escalante National Monument from 1998 to 2003, including dominance (i.e. relative cover) in our analyses. We specifically focused on the non‐native species Bromus tectorum , a notable dominant annual grass in this system. We found that non‐native species establishment and dominance are both occurring in species‐rich, mesic vegetation types. Therefore, non‐native species dominance may result despite many equally abundant native species rather than a dominant few, and competitive exclusion does not seem to be a primary control on either non‐native species establishment or dominance in this study. Unlike patterns observed for non‐native species establishment, relative non‐native species cover could not be predicted by native species richness across vegetation types ( R 2  < 0.001; P  = 0.45). However, non‐native species richness was found to be positively correlated with relative non‐native species cover and relative B. tectorum cover ( R 2  = 0.46, P  < 0.01; R 2  = 0.17, P  < 0.01). Analyses within vegetation types revealed predominantly positive relationships among these variables for the correlations that were significant. Regression tree analyses across vegetation types that included additional biotic and abiotic variables were a little better at predicting non‐native species dominance (PRE = 0.49) and B. tectorum dominance (PRE = 0.39) than at predicting establishment. Land managers will need to set priorities for control efforts on the more productive, species‐rich vegetation types that appear to be susceptible to both components of invasion.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here