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Precision of herbivore tolerance experiments with imposed and natural damage

机译:草食动物耐受性实验的精确性和自然损伤

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Tiffin and Inouye (2000) discussed the use of natural and imposed (controlled) damage in experiments of herbivore tolerance. They constructed a statistical model of the effect of herbivory on plant fitness, including damage level and an environmental factor as the independent factors, in which tolerance is defined as a slope of the regression line when damage level is regressed with plant fitness. They claim that while experiments with imposed damage are more accurate (i.e., they give a more correct estimate of tolerance), experiments with natural damage are more precise under a wide range of parameter values (i.e., tolerance estimates explain a larger part of variation in fitness). I show, however, that experiments with imposed damage are less precise only when an experimenter uses an experimental design that has weaker statistical power than in experiments with natural herbivory. The experimenter can nevertheless control the damage levels to optimize the experimental designs. For instance, when half of the experimental plants are left undamaged and the other half treated with maximal relevant damage level, experiments with imposed damage are almost always much more precise than experiments with natural damage. [References: 18]
机译:Tiffin和Inouye(2000)讨论了在草食动物耐受性实验中自然和施加(控制)损害的使用。他们构建了食草对植物适应性影响的统计模型,其中包括损害水平和环境因素作为独立因素,其中容忍度定义为当损害水平随着植物适应性回归而回归线的斜率。他们声称,虽然施加了损伤的实验更为准确(即,他们给出了对公差的更正确估计),但是在广泛的参数值下进行自然损伤的实验却更为精确(即,公差估计说明了较大的变化幅度)。健身)。但是,我证明,仅当实验人员使用的实验设计的统计能力比天然食草动物的实验能力弱时,受到破坏的实验才较不精确。尽管如此,实验者仍可以控制损坏程度以优化实验设计。例如,当一半的实验植物保持完好无损,而另一半则受到最大相关损害水平的处理时,施加外加伤害的实验几乎总是比遭受自然伤害的实验更为精确。 [参考:18]

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