Typology
Last updated
Last updated
Identify the type specimen (the holotype)
Identify the paratypes (a few other specimens, if you have them)
By centering one specimen around the type, we assume that variation is noise. The names are also static, meaning that they are just points in time. It is impossible to embed the time component of evolution when naming things.
Let us first review the three principles of evolution by natural selection.
The principle of variation
The principle of heredity
The principle of differential fitness
A histogram can be used to depict variation in a population.
A mean is an average. Represented by the Greek letter µ.
A variance is calculated by averaging the squares of the distance of each data point from the mean.
Populations with decreased variance are called leptokurtic, and increased variation platykurtic.
Standard deviation is the square root of the average squared deviation from the mean. It preserves the units of the original data.
Statistical significance is a measure of how much measure we have against the null hypothesis.
The distribution tells you what is the most common phenotype value of a certain population.
An individual near the mean for one phenotype may be three standard deviations away for another.
No individual is an "ideal" for that population/species.
The range of variation for any specific phenotype, of course ranges over time.
First appearance outside of Africa
First systematic imposition of preconceived form of lithic tools (basically, similar tools found everywhere)
First basically modern body proporitons
First systematic hunting (like wolves)
Short forearms
Short leg below knee
Barrel chested
Short and stocky
Bergmann's Rule states that populations with less massive individuals are found in warm climates near the equator, and populations with larger body sizes are found farther from the equator
Allen's Rule states that the length of arms and legs and other appendages also have an effect on heat lost, meaning that populations in warmer climates tend to have longer limbs.
Where is one measurement, is the mean, and is the sample size.