Kaufmann Karl W
Department of the Geophysical Sciences, The University of Chicago, 5734 S. Ellis Avenue, 60637, Chicago, Illinois, USA.
Oecologia. 1981 Jul;49(3):293-299. doi: 10.1007/BF00347588.
A technique is presented for fitting and analyzing growth patterns using Gompertz, power, and exponential curves. Data collection involves measuring growth rate as a function of size. This is useful because growth rates at many different sizes can be measured at the same time, which removes the effect of environmental change from the observed growth pattern. Using size instead of age as the independent variable is important because size is usually more closely related to growth rate than is age. The particular technique presented here yields estimates of the variance of the curve parameters so that growth curves for different populations can be compared.
本文介绍了一种使用冈珀茨曲线、幂曲线和指数曲线来拟合和分析生长模式的技术。数据收集包括测量作为大小函数的生长速率。这很有用,因为可以同时测量许多不同大小的生长速率,从而从观察到的生长模式中消除环境变化的影响。使用大小而非年龄作为自变量很重要,因为大小通常比年龄与生长速率的关系更密切。这里介绍的特定技术可得出曲线参数方差的估计值,以便能够比较不同种群的生长曲线。