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META-ANALYSIS OF INTRINSIC RATES OF INCREASE AND CARRYING CAPACITY OF POPULATIONS AFFECTED BY TOXIC AND OTHER STRESSORS

机译:毒性和其他胁迫影响的种群内在增长率和携带能力的元分析

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Most of the thousands of substances and species that are of concern for environmental management will not be investigated empirically at ecologically relevant levels because of financial, practical, and ethical constraints. To allow risk assessment for these less well-known categories, we have developed a mechanistic model with classical equations from toxicology and ecology. The parameters are linked to well-known properties, such as the octanol-water partition ratio K_(ow), acute lethal (body) concentrations, and organism size. This allows estimation of intrinsic rates of increase r and carrying capacity K over a wide range of substances and species. The model was calibrated with parameter values (μ ± 95% confidence interval) obtained in reviews and validated by a meta-analysis with largely independent data from 200 laboratory experiments. For single substances, the 5 to 95% interval of the observations on intrinsic rates of increase overlapped with the range predicted by the model. Model and experiments independently indicated that population growth ceased below 1% of the acute median lethal concentration in about 5% of the cases. Exceptional values and possible explanations were identified. The reduction of the carrying capacity K was nearly proportional to the inhibition of the population growth r. Population-level effects of mixtures as estimated by concentration addition were confirmed by observations in the experiments. The impact of a toxicant and another stressor could generally be described by response multiplication, with the exception of cases with extreme stress. Data sets on population laboratory experiments are biased to metals and crustaceans. This field will benefit from empirical studies on chemicals, conditions, and species, identified as risky by the model. Other implications of the model for environmental management and research are discussed.
机译:由于财务,实践和道德方面的限制,将不会在生态相关的水平上凭经验对数千种与环境管理有关的物质和物种进行实证研究。为了对这些鲜为人知的类别进行风险评估,我们使用毒理学和生态学的经典方程式开发了一种机械模型。这些参数与众所周知的属性相关,例如辛醇-水分配比K_(ow),急性致死(身体)浓度和生物体大小。这使得可以估算各种物质和物种的固有增加率r和承载力K。使用在评论中获得的参数值(μ±95%置信区间)对模型进行校准,并通过荟萃分析对来自200个实验室实验的大量独立数据进行验证。对于单一物质,内在增长率的5至95%的观察间隔与模型预测的范围重叠。模型和实验独立地表明,在大约5%的病例中,种群的生长停止在急性中值致死浓度的1%以下。确定了杰出的价值和可能的解释。承载能力K的降低几乎与人口增长r的抑制成正比。通过浓度观察估计的混合物的种群水平效应通过实验中的观察得到证实。有毒物和另一种压力源的影响通常可以通过响应乘法来描述,但极端压力的情况除外。人口实验室实验的数据集偏向于金属和甲壳类动物。该领域将受益于模型确定为有风险的化学物质,条件和物种的实证研究。讨论了该模型对环境管理和研究的其他含义。

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