Course Objectives

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This page is the general description of the course and suggested expectations for both the student and the expectations of the teacher.

Measures of Diversity

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Simpson's index

Simpson's index is the first of a set of non-parametric approaches to determining sample heterogeneity. Simpson (1949) did not want to make assumptions about the distribution of the species abundance curve and so defined the following:

Simpson's index

where D is Simpson's index and can be defined as the probability of two individuals in a random sample being in same category. Pi is the proportion of category i in the community.

Simpson's index = D ,

Range(1/categories to 1 ),

Maximum(1).

The probability that two randomly selected individuals in the community are of the same category.

Simpson's index of diversity = 1 - D ,

Range(0 to ~1),

Maximum (1 - 1/categories).

The probability that two randomly selected individuals in a community are of the different categories.

Simpson's reciprocal index = 1 / D,

Range(1 to number of categories),

Maximum(number of categories).

The number of equally common categories that will produce the observed D value. Also known as Hill's (1973) N2

Peet (1974) suggested that Simpson's index is of a type that is more sensitive to the common species in your sample. Simpson's index values should be interperated with this in mind.

Chapter 10 - Species Diversity Measures pages 357-360 in:

Krebs, C. J. 1989. Ecological Methodology. Harper and Row, Publishers. New York. 654 pp.

Hill, M. O. 1973. Diversity and evenness: a unifying notation and its consequences. Ecology 54:427-432.

Peet, R. K. 1974. The measurement of species diversity. Annual. Rev. Ecol. Syst. 5:285-307.

Simpson, E. H. 1949. Measurement of diversity. Nature 163:688