2011
DOI: 10.1002/etc.680
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Multiple stressors and complex life cycles: Insights from a population‐level assessment of breeding site contamination and terrestrial habitat loss in an amphibian

Abstract: Understanding the effects of chemical contaminants on natural populations is challenging, as multiple anthropogenic and natural stressors may individually and interactively influence responses. Population models can be used to evaluate the impacts of multiple stressors and to provide insight into population-level effects and/or data gaps. For amphibians with complex life cycles, population models may be useful in understanding impacts of stressors that are unique to the habitat type (aquatic, terrestrial) and … Show more

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Cited by 44 publications
(49 citation statements)
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“…We show here that parental and larval exposure to metal contamination increases larval period length and reduces size at metamorphosis, both of which have the potential to decrease survival to adulthood and reduce lifetime reproductive output. Our results suggest that multistressor studies that examine interactive effects provide more environmental realism than single stressor studies-given the importance of the early months post-metamorphosis to juvenile survival in amphibian population models (sensu Taylor and Scott 1997;Salice et al 2011;Willson et al 2012), similar studies that examine the potential carryover effects of larval stressors to the terrestrial stage will be an important research direction in order to better predict the effects of environmental contaminants.…”
Section: Factormentioning
confidence: 89%
“…We show here that parental and larval exposure to metal contamination increases larval period length and reduces size at metamorphosis, both of which have the potential to decrease survival to adulthood and reduce lifetime reproductive output. Our results suggest that multistressor studies that examine interactive effects provide more environmental realism than single stressor studies-given the importance of the early months post-metamorphosis to juvenile survival in amphibian population models (sensu Taylor and Scott 1997;Salice et al 2011;Willson et al 2012), similar studies that examine the potential carryover effects of larval stressors to the terrestrial stage will be an important research direction in order to better predict the effects of environmental contaminants.…”
Section: Factormentioning
confidence: 89%
“…For example, many studies evaluating the detrimental effects of environmental contaminants have relied on standard toxicological methods that measure effects on individual organisms (Cairns and Pratt 1993, Clements and Kiffney 1994, Stark 2005. Long-standing recognition of the limitations of this approach (Cairns 1984, Kimball and Levin 1985 prompted several studies that used integrative methods to bridge the gap between individual-level effects of environmental contaminants and population-level processes (e.g., Forbes and Calow 2002, Tanaka 2003, Miller and Ankley 2004, Lin et al 2005, but this approach has seldom been applied to terrestrial vertebrates (but see Nakamaru et al 2002, 2003, Karraker et al 2008, Salice et al 2011.…”
Section: Introductionmentioning
confidence: 99%
“…However, theoretical frameworks for extrapolating the individual-level contaminant effects observed in experimental studies to amphibian population viability remain limited. For example, prior models for the effects of contaminants on amphibians have not considered ways in which sublethal effects of contaminants (e.g., reduced body size) may influence populations and few have developed methods to incorporate variation in recruitment due to precipitation or other forms of environmental stochasticity (Salice et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…While population-level assessment can provide insights into ecological effects of contaminant exposure, they are also more data intensive compared to other risk estimators, especially hazard or risk quotients (Forbes et al, 2008;Salice et al, 2011b). At a minimum, life history data on the schedules of survival, growth and reproduction are needed to parameterize population models.…”
Section: Introductionmentioning
confidence: 99%