caa a22 4500 463168054 CHVBK 20180406164805.0 cr unu---uuuuu 170326e20071001xx s 000 0 eng 10.1007/s10530-006-9075-8 doi (NATIONALLICENCE)springer-10.1007/s10530-006-9075-8 Predicting yellow toadflax infestations in the Flat Tops Wilderness of Colorado [Elektronische Daten] [Jason Sutton, Thomas Stohlgren, K. Beck] Understanding species-environment relationships is important to predict the spread of non-native species. Yellow toadflax (Linaria vulgaris Mill.) is an invasive perennial recently found in the Flat Tops Wilderness of the White River National Forest on the western slope of the Colorado Rocky Mountains. We hypothesized yellow toadflax occurrence could be predicted from easily measured site characteristics. We used logistic regression with stepwise selection to generate a model to predict yellow toadflax occurrence on a particular plot based on that site's physical characteristics. The experimental design was a paired-plot study in two locations using circular 1,018-m2 plots. Sixty-eight plots that did not contain yellow toadflax and 65 plots that contained yellow toadflax were sampled at the Ripple Creek site in 1999. In 2000, 54 non-toadflax plots and 55 toadflax-containing plots were sampled in the Marvine Creek site. Site characteristics sampled included: vegetation type; under-canopy light level; slope; aspect; soil properties; presence of disturbance, trails, and/or water; and total species richness. A model that correctly classified >90% of the 242 plots sampled included two vegetation type parameters, the presence of trails, and total species richness. Yellow toadflax is most often found in areas that were open-canopy sites, along trails, and with higher species diversity plots (>23 species). This approach can be used for other species in other areas to rapidly identify areas vulnerable to invasion. Springer Science+Business Media, Inc., 2007 Early detection nationallicence Habitat vulnerability nationallicence Invasive species nationallicence Predictive modeling nationallicence Rapid assessment nationallicence Sutton Jason Department of Bioagricultural Science and Pest Management, Colorado State University, 80523, Fort Collins, CO, USA aut Stohlgren Thomas Fort Collins Science Center, US Geological Survey, 2150 Centre Street, Building C, 80526, Fort Collins, CO, USA aut Beck K. Department of Bioagricultural Science and Pest Management, Colorado State University, 80523, Fort Collins, CO, USA aut Biological Invasions Springer Netherlands 9/7(2007-10-01), 783-793 1387-3547 9:7<783 2007 9 10530 https://doi.org/10.1007/s10530-006-9075-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10530-006-9075-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sutton Jason Department of Bioagricultural Science and Pest Management, Colorado State University, 80523, Fort Collins, CO, USA aut NATIONALLICENCE 700 1- Stohlgren Thomas Fort Collins Science Center, US Geological Survey, 2150 Centre Street, Building C, 80526, Fort Collins, CO, USA aut NATIONALLICENCE 700 1- Beck K. Department of Bioagricultural Science and Pest Management, Colorado State University, 80523, Fort Collins, CO, USA aut NATIONALLICENCE 773 0- Biological Invasions Springer Netherlands 9/7(2007-10-01), 783-793 1387-3547 9:7<783 2007 9 10530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer