4.5 Article

Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates

期刊

ECOTOXICOLOGY
卷 25, 期 7, 页码 1364-1375

出版社

SPRINGER
DOI: 10.1007/s10646-016-1688-9

关键词

Model; Fathead minnow; Pollution; Freshwater; North America; Sensitivity analysis

资金

  1. Colorado Division of Parks and Wildlife, US EPA Region, US EPA Office of Research and Development, NHEERL, Cincinnati, OH
  2. Colorado Cooperative Fish and Wildlife Research Unit
  3. United States EPA [95,785,501]

向作者/读者索取更多资源

Urban freshwater streams in arid climates are wastewater effluent dominated ecosystems particularly impacted by bioactive chemicals including steroid estrogens that disrupt vertebrate reproduction. However, more understanding of the population and ecological consequences of exposure to wastewater effluent is needed. We used empirically derived vital rate estimates from a mesocosm study to develop a stochastic stage-structured population model and evaluated the effect of 17 alpha-ethinylestradiol (EE2), the estrogen in human contraceptive pills, on fathead minnow Pimephales promelas stochastic population growth rate. Tested EE2 concentrations ranged from 3.2 to 10.9 ng L-1 and produced stochastic population growth rates (lambda (S) ) below 1 at the lowest concentration, indicating potential for population decline. Declines in lambda (S) compared to controls were evident in treatments that were lethal to adult males despite statistically insignificant effects on egg production and juvenile recruitment. In fact, results indicated that lambda (S) was most sensitive to the survival of juveniles and female egg production. More broadly, our results document that population model results may differ even when empirically derived estimates of vital rates are similar among experimental treatments, and demonstrate how population models integrate and project the effects of stressors throughout the life cycle. Thus, stochastic population models can more effectively evaluate the ecological consequences of experimentally derived vital rates.

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