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首页> 外文期刊>Environmental toxicology and chemistry >Quantifying population recovery rates for ecological risk assessment.
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Quantifying population recovery rates for ecological risk assessment.

机译：量化人口恢复率以进行生态风险评估。

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Ecological effects of modern agrochemicals are typically limited to brief episodes of increased mortality or reduced growth that are qualitatively similar to natural disturbance regimes. The long-term ecological consequences of agrochemical exposures depend on the intensity and frequency of the exposures relative to the rates of recovery of the exposed populations. This paper explores the feasibility of using readily available life history information to quantify recovery rates of aquatic populations. A simple modeling framework based on the logistic population growth model is used to compare population recovery rates for different types of organisms and to evaluate the influence of life history, initial percent reduction, disturbance frequency, and immigration on the time required for populations to recover from simulated agrochemical exposures. Recovery models are developed for aquatic biota ranging in size and longevity from unicellular algae to fish and turtles. Population growth rates and recoverytimes derived from life history data are consistent with measured recovery times reported in mesocosm and enclosure experiments, thus supporting the use of the models for quantifying population recovery rates for ecological risk assessment.
机译：现代农用化学品的生态效应通常仅限于死亡率增加或生长减少的短暂发作，其在质量上与自然干扰制度相似。农用化学品暴露的长期生态后果取决于暴露的强度和频率相对于暴露种群恢复的速度。本文探讨了使用现成的生活史信息来量化水生种群恢复率的可行性。一个简单的基于逻辑种群增长模型的建模框架用于比较不同类型生物体的种群恢复率，并评估生活史，初始减少百分比，干扰频率和移民对种群恢复所需时间的影响。模拟农药暴露。为水生生物开发了恢复模型，其大小和寿命从单细胞藻类到鱼类和乌龟不等。从生活史数据中得出的人口增长率和恢复时间与中观和封闭实验中报告的测量的恢复时间一致，从而支持使用该模型量化人口恢复率以进行生态风险评估。

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