在南极微型节肢动物中使用种内异速生长检验代谢标度理论
Testing metabolic scaling theory using intraspecific allometries in Antarctic microarthropods
摘要：
生物体的体重、温度和代谢率之间的定量比例关系仍然存在争议，而通过使用不同的和可能不适当的统计分析方法，解决问题可能会更加复杂。我们提出了应用的建模策略的基础上赤池的信息标准和非线性模型拟合（NLM）。因此，我们整理和建模的个体标准代谢率的南极微型节肢动物的体重（M），温度（T），物种身份（S）和高等级类群的物种属于（G）的函数在种内水平的现有数据和测试的预测从代谢标度理论。我们还进行了异速生长分析的基础上对数变换（lm）。lm和nlm方法的结论不同。最好的支持模型从lm公司的T，M和S。连接体重和代谢率的异速生长标度指数b的估计值表明种间无差异，结果为0.696 +/- 0.105（平均值+/-95%CI）。与此相反，四个最佳支持的nlm模型表明，标度指数和活化能显着不同的物种所属的高等级类群，与平均值的b范围约为0.6至0.8。因此，我们得出两个结论：1）已发表的基于对数数据的节肢动物代谢分析可能会受到数据转换的影响; 2）应用于南极微型节肢动物代谢率的非线性模型表明，南极微型节肢动物标准代谢率的种内标度是高度可变的，并且可以通过在分类群内变化很大的标度指数来表征，这可能使以前忽略种内变异的种间比较产生偏差。
英文摘要：
Quantitative scaling relationships among body mass, temperature and metabolic rate of organisms are still controversial, while resolution may be further complicated through the use of different and possibly inappropriate approaches to statistical analysis. We propose the application of a modelling strategy based on Akaike's information criteria and non-linear model fitting (nlm). Accordingly, we collated and modelled available data at intraspecific level on the individual standard metabolic rate of Antarctic microarthropods as a function of body mass (M), temperature (T), species identity (S) and high rank taxa to which species belong (G) and tested predictions from Metabolic Scaling Theory. We also performed allometric analysis based on logarithmic transformations (lm). Conclusions from lm and nlm approaches were different. Best-supported models from lm incorporated T, M and S. The estimates of the allometric scaling exponent b linking body mass and metabolic rate indicated no interspecific difference and resulted in a value of 0.696 +/- 0.105 (mean +/- 95% CI). In contrast, the four best-supported nlm models suggested that both the scaling exponent and activation energy significantly vary across the high rank taxa to which species belong, with mean values of b ranging from about 0.6 to 0.8. We therefore reached two conclusions: 1) published analyses of arthropod metabolism based on logarithmic data may be biased by data transformation; 2) non-linear models applied to Antarctic microarthropod metabolic rate suggest that intraspecific scaling of standard metabolic rate in Antarctic microarthropods is highly variable and can be characterised by scaling exponents that greatly vary within taxa, which may have biased previous interspecific comparisons that neglected intraspecific variability.
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