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The pathogen dynamics was represented by a matrix population model designed for a generic air-borne foliar disease.
Matrix population models directly yield the population growth rate, the most robust endpoint in risk assessment at the population level.
The pathogen population dynamics are then described through a matrix population model both stage- and space-structured.
We present a framework for modeling the dynamics of infectious diseases in discrete time, based on the theory of matrix population models.
By combining DEBtox theory and matrix population models, we extrapolate every effects of the toxic compound on the individual (reduced fecundity, growth and survival) to the population level.
In most matrix population projection models, individuals are characterized according to, usually, one or two traits such as age, stage, size or location.
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For this k value, the Q-matrix (population membership estimates) was extracted from STRUCTURE runs.
We use deterministic Leslie-matrix population models because of their common application in fish population modeling and their ease of construction (Caswell 2001).
After removing monomorphic loci and minor allele with minor allele frequency (MAF) threshold of 0.05, the Q matrix of population structure with number of estimated populations was added.
This study [14] utilized a stage-based matrix lionfish population model and indicated that decreasing lionfish abundance would require monthly removals of 27% of the adult lionfish population.
Parameters for the matrix flaw population are used to fit the experimental stress strain data but the failure is controlled by the measured fiber strength statistics.
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