Disciplines
Biology (75%); Computer Sciences (25%)
Keywords
ANIMAL SURVIVAL AND REPRODUCTION,
BIOLOGICAL OPERATORS,
COMPLEX ADAPTIVE SYSTEMS,
COMPUTER EMULATION
Abstract
Erwin Schrödinger Fellowship J 1962 Causes for Variability in Animal Populations Michael BAUMANN
09.10.2000
Pacific salmon populations exhibit both large temporal and spatial variability in total cohort survival and
reproduction rates. Total cohort survival rate is the product of the survival probabilities at various life history stages
which are determined by interactions between individuals and their biotic and abiotic environment. These
interactions will also determine the amount of internal resources available for reproduction. Assessing the
magnitude, spatial and temporal variability, and causes of the survival probability and reproduction potential at a
particular life history stage is an extremely difficult and data-intensive task. Consequently, lack and multiple
interpretability of data has led to a plethora of untested as well as observationally untestable causal explanations for
variability in animal fitness ranging from atmospheric forcings to anthropogenic influences.
In Part 2 of my project towards predicting and understanding Pacific salmon survival, I will take a closer look at
the various statistical and mechanistic models that have been proposed to explain variability in animal survival and
reproduction, in general. I will assess the effects of various biological processes on animal fitness by incorporating
genetical and phenotypic traits, as well as constant and variable biotic and abiotic environmental factors into
evolutionary spatially-explicit individual-based emulations. My research in the last year has shown that
biologically well-balanced rule-based models will be complex enough to plausibly represent nature but simple
enough to perform completely controlled and reproducible computer experiments, and will thus advance
understanding about mathematical models and of interacting levels of biological organization.