Gould S J
Contrib Primatol. 1975;5:244-92.
Allometry should be defined broadly as the study of size and its consequences, not narrowly as the application of power functions to the data of growth. Variation in size may be ontogenetic, static or phyletic. Errors of omission and treatment have plagued the study of allometry in primates. Standard texts often treat brain size as an independent measure, ignoring its allometric relation with body size - on this basis, gracile australopithecines have been accorded the mental status of gorillas. Intrinsic allometries of the brain/body are likewise neglected: many authors cite cerebral folding as evidence of man's mental superiority, but folding is a mechanical correlate of brain size itself. Confusion among types of scaling heads errors of treatment in both historical primacy [Dubois' ontogenetic inferences from interspecific curves] and current frequency. The predicted parameters of brain-body plots differ greatly for ontogenetic, intrapopulational, interspecific and phyletic allometries. I then discuss basic trends in bivariate allometry at the ordinal level for internal organ weights, skeletal dimensions, lifespan and fetal weight. In considering the causes of basic bivariate allometries, I examine the reason for differences among types of scaling in brain-body relationships. The interspecific exponent of 0.66 strongly suggests a relationship to body surfaces, but we have no satisfactory explanation for why this should be so. The tripartite ontogenetic plot is a consequence of patterns in neuronal differentiation. We do not know why intraspecific exponents fall between 0.2 and 0.4; several partial explanations have been offered. Multivariate techniques have transcended the pictorial representation of transformed coordinates and offer new, powerful approaches to total allometric patterns. Allometry is most often used as a 'criterion for subtraction'. In order to assess the nature and purpose of an adaptation, we must be able to identify and isolate the aspect of its form that depends both upon its size and the size of the body within which it resides. Cranial indices and limb lengths are misinterpreted when authors apply no correction for body size. The search for a criterion of subtraction has been most diligently pursued in studies of the brain. Clearly, brain size must be assessed by comparison with a 'standard' animal of the same body size. But how shall size be measured, especially in fossils; and how shall a standard animal be construed. I discuss and criticize three methods recently used: RADINSKY'S foramen magnum criterion; Jerison's minimum convex polygons and cephalization quotients; and the indices of progression in comparison with 'basal' insectivores' of BAUCHOT, Stephan and their colleagues.
异速生长应被宽泛地定义为对大小及其影响的研究,而不是狭义地定义为将幂函数应用于生长数据。大小的变化可能是个体发育的、静态的或系统发育的。遗漏和处理方面的错误一直困扰着灵长类动物异速生长的研究。标准教科书常常将脑容量视为一个独立的测量指标,而忽略其与身体大小的异速生长关系——在此基础上,纤细型南方古猿被赋予了与大猩猩相同的智力水平。脑/身体的内在异速生长同样被忽视:许多作者将脑回折叠作为人类智力优越性的证据,但折叠本身是脑容量的一种机械关联。在历史上的首要地位[杜布瓦从种间曲线得出的个体发育推断]和当前的频率方面,不同类型的缩放以及处理错误都存在混淆。脑-身体关系图的预测参数在个体发育、种群内、种间和系统发育的异速生长方面差异很大。然后,我讨论了在目水平上关于内脏重量、骨骼尺寸、寿命和胎儿体重的双变量异速生长的基本趋势。在考虑基本双变量异速生长的原因时,我研究了脑-身体关系中不同缩放类型之间存在差异的原因。种间指数0.66强烈表明与身体表面积有关,但我们对于为何如此尚无令人满意的解释。个体发育的三方图是神经元分化模式的结果。我们不知道为什么种内指数落在0.2到0.4之间;已经提出了一些部分解释。多变量技术已经超越了变换坐标的图形表示,并为整体异速生长模式提供了新的、强大的方法。异速生长最常被用作一种“减法标准”。为了评估一种适应的性质和目的,我们必须能够识别并分离出其形式中既依赖于自身大小又依赖于其所在身体大小的方面。当作者未对身体大小进行校正时,颅指数和肢体长度就会被误解。在对大脑的研究中,人们最为努力地寻找减法标准。显然,必须通过与相同身体大小的“标准”动物进行比较来评估脑容量。但是如何测量大小,尤其是在化石中;以及如何构建标准动物。我讨论并批评了最近使用的三种方法:拉迪斯基的枕骨大孔标准;杰里森的最小凸多边形和脑化商;以及与鲍肖、斯特凡及其同事的“基础”食虫动物相比的进化指数。