By John R. Speakman
Bringing jointly a mixture of conventional and good validated analytical tools with extra smooth thoughts, physique Composition research of Animals offers a theoretical evaluate of other methodologies mixed with sensible recommendation at the use of those concepts. equipment lined comprise using harmful equipment of research, physique indices, isotope and fuel dilution equipment, overall physique electric conductivity, bio-impedance research, ultrasound scanning, and twin power x-ray absorptiometry.
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Additional info for Body Composition Analysis of Animals: A Handbook of Non-Destructive Methods
Applied Economics, 26, 635–40. Tuomi, J. & Jormalainen, V. (1988). Components of reproductive effort in the aquatic isopod Idotea baltica. Oikos, 52, 250–4. van der Meer, J. & Piersma, T. (1994). Physiologically inspired regression models for 37 38 j . p. h a y e s a n d j . s . s h o n k w i l e r estimating and predicting nutrient stores and their composition in birds. Physiological Zoology, 67, 305–29. T. M. (1993). Energy budgets in free-living green iguanas in a seasonal environment. Ecology, 74, 1157–72.
These sizedependent ratio indices can be misleading because the effects of the condition index may be confounded with the effects of size. For example, if both size and condition index are correlated with number of offspring, a correlation between the condition index and number of offspring may simply be due to their mutual correlation with size. , 1995; Neville & Holder, 1995 for counterarguments). Consequently, we recommend caution when using ratio indices. Residual indices of condition Unlike the situation with ratios, it is easy to obtain size-independent condition indices with residuals from regressions.
These transformed variables (e and length␤) can be shown to have an expected correlation of zero (Hogg & Craig, 1995), so the index and length␤ have an expected correlation of zero. In practice, owing to sampling variation, the actual correlation will not exactly equal zero, but it should be close to zero at least in large samples. In contrast, the logarithmic scale condition index is generally not size independent. The logarithmic scale condition index (loge mass/loge length) equals (loge ␣ ϩ ␤ loge lengthϩ )/(loge length) which simpliﬁes to ␤ ϩloge ␣/loge lengthϩ /loge length.