Journal
BIOLOGICAL INVASIONS
Volume 12, Issue 1, Pages 285-296Publisher
SPRINGER
DOI: 10.1007/s10530-009-9449-9
Keywords
Alien species; Invasive; Logistic regression; Niche model; Hierarchical partitioning; Lakes
Categories
Funding
- Swedish Environmental Protection Agency
- AquAliens project
Ask authors/readers for more resources
In this study, we report the results from a recently performed survey of zebra mussel in Sweden and present a risk model for the potential distribution of the species. The zebra mussel was found in 11 of the 30 surveyed lakes and rivers. Most of the observations were made in the north-eastern parts of Lake Malaren, i.e., in the basins Ekoln, Skarven, and Gorvaln. Hierarchical partitioning and stepwise selection of water chemistry variables in a multiple logistic model identified pH and magnesium concentrations as the best predictors for zebra mussel occurrence. We conjecture that magnesium is an important predictor due to its crucial role in mussel physiology. The logistic model was applied on 2,781 lakes and in total 109 lakes (3.9%), most of them situated in specific areas in central Sweden, in the very south and on the island of Gotland, were predicted to be potentially at risk for zebra mussel invasions. The lakes potentially at risk for zebra mussel invasions are separated by the soft-water boreal lakes that constitute the vast majority of lakes on the Fennoscandian peninsula, thus forming barriers for further dispersal.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available