While many theoretical questions in evolutionary biology depend on measuring animal color variation, few studies apply a formal definition of color and even fewer use a standardized means by which color can be assessed [1, 2, 3]. Previous studies have relied on either relative color assignments or standardized color chips for identifying an approximate measure of color. These methods lack an objective means by which scientists can define precise intra-individual and inter-individual color differences. Furthermore, these methods color may fail to detect subtle differences in animal color, which may be biologically meaningful to conspecifics and predators.

In this presentation, I will introduce the possible use of digital video cameras (DVC) for obtaining a sensitive and precise measure of color. DVCs capture high-resolution images which can be downloaded into basic software applications via a cross-platform interface (i.e. TWAIN). The software allows the user to highlight target regions and obtain a color measure based on the Pantone Matching System (PMS). The PMS provides a code for color samples according to three standard measures of color: the hue, value, and chroma. The "hue" refers to the colloquial color term, the "value" refers to the relative darkness of the sample and the "chroma" is the degree to which the sample is saturated with the hue [3]. Thus, DVCs can potentially provide an objective instrument which investigators can employ, to obtain precise, accurate and quantifiable measures of color.

I will discuss the advantages and limitations of the DVC system and compare these with more traditional tools for describing color. To conclude this presentation, I will offer practical uses and possible applications of DVC technology for investigating behavior in captive and field settings.

References

1. Pruett-Jones, S.G.; Pruett-Jones, M.A.; Jones, H.I. (1990). Parasites and sexual selection in birds of paradise. American Zoologist, 30, 287-98.
2. Zuk, M. (1992). The role of parasites in sexual selection: current evidence and future directions. Advances in the Study of Behavior, 21, 39-68.
3. Zuk, M.; Decruyenaere, J.G. (1994). Measuring individual variation in color: a comparison of two techniques. Biological Journal of the Linnaen Society, 53, 165-173.