UCR

The Guppy Project



Donald DeAngelis and Regis Ferriere


Donald DeAngelis
DDA - U.S. Geological Survey
Regis Ferriere
RF - University of Arizona

Don DeAngelis is one of the early developers of the individual-based modeling (IBM) approach to populations and communities, and has applied the approach in many models of fish populations. He has also published widely on ecosystem modeling and theory. Most recently, he has used the IBM approach to model possible evolutionarily stable strategies regarding the use of induced defenses by aquatic organisms. (DeAngelis et al., in press). This approach incorporates the feedbacks between the species’s evolutionary traits, its population size, and the abundance of resource and predators of the species and hence is very similar to the theory that will be required for the current project.

RF will collaborate with JT and DDA to develop the ecological model of the study system, derive the selection gradients of the life history traits under consideration, and obtain predictions that will be used to inform the statistical analyses of eco-evolutionary responses to the introduction experiment and canopy manipulation. RF, JT and DDA will coordinate their modeling efforts with the collection of ecosystem data led by CP, AF and ST. The theory will be based on mathematical analysis and numerical simulations that will benefit greatly from DDA’s expertise with IBM. The IBM approach will make it possible to incorporate details on the genetic system provided by the work of CG, MK, AH and PB, that would otherwise be intractable. A model specifically tailored to the study system will be used as a stepping stone toward generalization, with the aim of extending current life history theory to multiple species that interact in their ecosystem network. RF and DDA will broaden the temporal scale of their models to derive predictions on patterns of long-term coevolutionary changes of adaptive traits and ecosystem processes. They will, in collaboration with DR, AH and MK, investigate the consequences of their theory for our general understanding of the pace of adaptive evolution in complex ecosystems. Because RF is also an experienced field biologist, he will participate in components of the field work to the extent that is required for him to gain insights into the dynamics of the natural system. Furthermore, he will play an active role in the design and execution of experiments that evaluate predictions of theory, thereby fostering an active exchange between the empirical and theoretical components of the research.

Regis FerriereRegis Ferriere has fifteen years of experience modeling the interplay of ecological and evolutionary processes. He was one of the pioneers of the mathematical modeling of invasion fitness in structured, density-dependent populations. He also contributed seminal studies of eco-evolutionary feedbacks in communities of coevolving mutualistic species, and in ecosystems including multiple trophic levels and nutrient cycles. He has a strong record of collaborative research with pure and applied mathematicians, which has led him to discover a unifying mathematical framework for modeling the evolutionary dynamics of adaptive traits. His work extends to applications to conservation biology and natural resource management in an evolutionary perspective, and to the empirical evaluation of selection gradients in experimental populations of vertebrates.

more info about Regis Ferriere...


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Foundations in Integrative Biological Research (FIBR)
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