Department of Neuroscience, University of Arizona, Tucson, AZ 85721, USA.
J Insect Physiol. 2011 Jun;57(6):688-93. doi: 10.1016/j.jinsphys.2011.01.011. Epub 2011 Feb 4.
The functional association between body size and metabolic rate (BS-MR) is one of the most intriguing issues in ecological physiology. An average scaling exponent of 3/4 is broadly observed across animal and plant taxa. The numerical value of 3/4 is theoretically predicted under the optimized version of West, Brown, and Enquist's vascular resource supply network model. Insects, however, have recently been proposed to express a numerically different scaling exponent and thus application of the WBE network model to insects has been rejected. Here, we re-analyze whether such variation is indeed supported by a global deviation across all insect taxa at the order and family levels to assess if specific taxa influence insect metabolic scaling. We show that a previous reported deviation is largely due to the effect of a single insect family (Termitidae). We conclude that the BS-MR relationship in insects broadly supports the core predictions of the WBE model. We suggest that the deviation observed within the termites warrants further investigation and may be due to either difficulty in accurately measuring termite metabolism and/or particularities of their life history. Future work on allometric scaling should assess the nature of variation around the central tendencies in scaling exponents in order to test if this variation is consistent with core assumptions and predictions of the WBE model that stem by relaxing its secondary optimizing assumptions that lead to the 3/4 exponent.
体型和代谢率(BS-MR)之间的功能关联是生态生理学中最有趣的问题之一。跨动物和植物分类群广泛观察到平均缩放指数为 3/4。在 West、Brown 和 Enquist 的血管资源供应网络模型的优化版本下,理论上预测出数值为 3/4。然而,昆虫最近被提出表现出数值上不同的缩放指数,因此拒绝将 WBE 网络模型应用于昆虫。在这里,我们重新分析这种变异是否确实得到了在订单和科水平上所有昆虫分类群的全局偏差的支持,以评估是否特定分类群影响昆虫代谢缩放。我们表明,以前报道的偏差主要是由于单个昆虫科(白蚁科)的影响。我们得出结论,昆虫的 BS-MR 关系广泛支持 WBE 模型的核心预测。我们建议,在白蚁中观察到的偏差值得进一步研究,并且可能是由于难以准确测量白蚁的新陈代谢和/或其生活史的特殊性所致。未来关于异速生长缩放的工作应该评估缩放指数中心趋势周围的变化性质,以检验这种变化是否与 WBE 模型的核心假设和预测一致,这些假设和预测是通过放宽导致 3/4 指数的次要优化假设而得出的。