mpmsim

mpmsim simulates matrix population models with defined life history characteristics to enable exploration of sampling error and calculation of confidence intervals via parametric bootstrapping.

Key Features:

• Matrix Population Model Simulation: Simulates random or semi-random Lefkovitch and Leslie matrix population models based on life history archetypes or mortality and fecundity patterns.
• Sampling Error Exploration: Enables exploration of uncertainty in transition rates due to sampling error.
• Confidence Interval Estimation: Uses parametric bootstrapping to calculate confidence intervals for matrix-derived estimates.

Scientific Applications:

• Population Dynamics Research: Supports exploration of population dynamics including assessment of management impacts and extinction risk.
• Comparative Life History Studies: Facilitates testing of life history theory and investigation of macro-evolutionary patterns in demographic traits.
• Life Cycle Structure Analysis: Enables exploration of effects of life cycle structure and vital rate trajectories on population outcomes.
• Teaching: Serves as a valuable teaching tool for matrix population model concepts.

Methodology:

mpmsim implements parametric bootstrapping to calculate confidence intervals for matrix-derived estimates.