This program is used to analyze and model census data consisting of a series of observations (samples or counts) of a population of organisms (a single species). Data must be collected at discrete and equal intervals of time over a fairly long period. P1a uses autocorrelation and partial rate correlation functions, plus other diagnostics, to determine if the series is stationary, and to estimate the delay in the feedback response. The program then constructs models describing the observed fluctuations. Non-stationary data can be adjusted to remove trends or discontinuities prior to analysis. Models can be built on arithmetic or logarithmic scales and with single or two lag structures.

THEORY

• Exponential Growth
• Population Regulation

DATA

• Data Input
• Data Manipulation
• Data Sources

DIAGNOSTICS

• Return Time
• Autocorrelation Function
• Phase Portrait
• Partial Rate Correlation Function

MODELING

• Model Fitting
• Model Evaluation

TUTORIALS

• Red pine cone beetle
• Blackheaded budworm
• Sandhill crane
• Gypsy moth