Parallel simulation of individual-based, physiologically structured population models
Authored by S Ramachandramurthi, TG Hallam, JA Nichols
Date Published: 1997
DOI: 10.1016/s0895-7177(97)00094-0
Sponsors:
United States Environmental Protection Agency (EPA)
United States National Science Foundation (NSF)
Platforms:
C
Model Documentation:
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Abstract
A general scheme for parallel simulation of individual-based, structured
population models is proposed. Algorithms are developed to simulate such
models in a parallel computing environment. The simulation model
consists of an individual model and a population model that incorporates
the individual dynamics. The individual model is a continuous time
representation of organism life history for growth with discrete
allocations for reproductive processes. The population model is a
continuous time simulation of a nonlinear partial differential equation
of extended McKendrick-von Foerster-type.
As a prototypical example, we show that a specific individual-based, physiologically structured model for Daphnia populations is well suited
for parallelization, and significant speed-ups can be obtained by using
efficient algorithms developed along our general scheme. Because the
parallel algorithms are applicable to generic structured populations
which are the foundation for populations in a more complex community or
food-web model, parallel computation appears to be a valuable tool for
ecological modeling and simulation.
Tags
Daphnia