Journal
ECOLOGICAL APPLICATIONS
Volume 17, Issue 2, Pages 587-597Publisher
WILEY
DOI: 10.1890/06-0181
Keywords
amphibian declines; generalized additive models; introduced fish; mountain yellow-legged frog; multiple stressors; pesticide drift; Rana muscosa; Sierra Nevada
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More than 40% of Earth's 5700+ amphibian species have undergone recent declines. Despite the likely involvement of multiple factors in driving these declines, most studies continue to focus on single stressors. In California ( USA), separate studies have implicated either introduced. sh or pesticides as causal agents. To date, however, no study has simultaneously evaluated the respective roles of these two potential stressors nor attempted to assess their relative importance, information critical for the development of effective conservation efforts and environmental policies. We examined the role and relative effect of. sh and pesticides on the mountain yellow-legged frog ( Rana muscosa) using unusually detailed data sets for a large portion of R. muscosa's historic range in California's Sierra Nevada. Habitat characteristics and presence/ absence of R. muscosa and. sh were quantified at each of 6831 sites during field surveys. Pesticide use upwind of each site was calculated from pesticide application records and predominant wind directions. Using generalized additive models, we found that, after accounting for habitat effects, the probability of R. muscosa presence was significantly reduced by both. sh and pesticides, with the landscape-scale effect of pesticides much stronger than that of. sh. The degree to which a site was sheltered from the predominant wind ( and associated pesticides) was also a significant predictor of R. muscosa presence. Taken together, these results represent the strongest evidence to date that windborne pesticides are contributing to amphibian declines in pristine locations. Our results suggest that amphibian declines may have complex multi-factorial causes, and caution that single-factor studies that demonstrate the importance of one factor should not be used as evidence against the importance of other factors.
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