C
Cheryl J. Briggs
Researcher at University of California, Santa Barbara
Publications - 135
Citations - 13612
Cheryl J. Briggs is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Population & Chytridiomycosis. The author has an hindex of 54, co-authored 130 publications receiving 12161 citations. Previous affiliations of Cheryl J. Briggs include University of California & University of California, Berkeley.
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Journal ArticleDOI
The effect of dispersal on the population dynamics of a gall‐forming midge and its parasitoids
Cheryl J. Briggs,John Latto +1 more
TL;DR: The effects of dispersal on the population dynamics and parasitoid community structure of a natural host-multi-parasitoid system consisting of the midge Rhopalomyia californica that forms galls on the shrub Baccharis pilularis and the parasitoids that attack the midges is investigated.
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A model of Nucleopolyhedrovirus (NPV) population genetics applied to co–occlusion and the spread of the few Polyhedra (FP) phenotype
TL;DR: A strategic model of Nucleopolyhedrovirus (NPV) genetics is developed and applied to co–occlusion and the dynamics of the few polyhedra (FP) phenotype and it is suggested that the models developed here can also help in studying potential recombination between engineered and wild–type viruses in the environment.
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Does Host Self-Regulation Increase the Likelihood of Insect-Pathogen Population Cycles?
TL;DR: The ability of insect pathogens to cause long-term stable limit cycles in their hosts was first demonstrated theoretically by Anderson and May (1980, 1981) and the apparent contradiction was reconciled by White et al. (1996), who showed that the two studies had incorporated host self-regulation.
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Integral Projection Models for host-parasite systems with an application to amphibian chytrid fungus
TL;DR: A simple host–parasite IPM is built that tracks both the number of susceptible and infected hosts and the distribution of parasite burdens in infectedhosts and provides an exciting new frontier in modelling wildlife disease.
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Models of intermediate complexity in insect-pathogen interactions: population dynamics of the microsporidian pathogen, Nosema pyrausta, of the European corn borer, Ostrinia nubilalis
TL;DR: It is argued that models of intermediate complexity that incorporate considerable detail about the natural history of individual interactions, but which are derived from the classical models of animal ecology and epidemiology, offer the most profitable way of modelling insect-pathogen interactions in the wild.