Literaturdatenbank
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Salice, C. J., Rowe, C. L., & Eisenreich, K. M. (2014). Integrative demographic modeling reveals population level impacts of pcb toxicity to juvenile snapping turtles. Environmental Pollution, 184, 154–160.
Added by: Admin (06 Jan 2014 18:25:17 UTC) |
| Resource type: Journal Article DOI: 10.1016/j.envpol.2013.08.031 BibTeX citation key: Salice2014 View all bibliographic details  |
Categories: General Keywords: Habitat - habitat, Nordamerika - North America, Schildkröten - turtles + tortoises, Toxikologie - toxicology Creators: Eisenreich, Rowe, Salice Collection: Environmental Pollution |
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| Abstract |
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Highlights Previous studies have shown the PCBs can impact juvenile snapping turtles. We used a demographic model of turtles to evaluate population-level PCB effects. PCB effects on turtles may translate to negative population responses. Long-term monitoring is needed to detect contaminant effects on natural turtle populations. Demographic models can improve our understanding contaminant ecotoxicity. Abstract A significant challenge in ecotoxicology and risk assessment lies in placing observed contaminant effects in a meaningful ecological context. Polychlorinated biphenyls (PCBs) have been shown to affect juvenile snapping turtle survival and growth but the ecological significance of these effects is difficult to discern without a formal, population-level assessment. We used a demographic matrix model to explore the potential population-level effects of PCBs on turtles. Our model showed that effects of PCBs on juvenile survival, growth and size at hatching could translate to negative effects at the population level despite the fact that these life cycle components do not typically contribute strongly to population level processes. This research points to the utility of using integrative demographic modeling approaches to better understand contaminant effects in wildlife. The results indicate that population-level effects are only evident after several years, suggesting that for long-lived species, detecting adverse contaminant effects could prove challenging.
Added by: Admin |