The role of higher predation in plankton population models
By Andrew M. Edwards, Andrew Yool. 2000
226 citations recorded by the source corpus.
Subfields: Environmental Chemistry, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/265f3d4d0a3178823d92c770b408189081f713a5
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Chemistry
- Aditee Mitra
- Peter Franks
- T. Tyrrell
- Andrew M. Edwards
- Elizabeth A. Fulton
- Anthony D. M. Smith
- Craig R. Johnson
- N. Banas
In Global and Planetary Change
- N. Banas
- Elizabeth A. Fulton
- M. Ohman
- Aditee Mitra
- J. Runge
- T. Tyrrell
- Craig R. Johnson
- Andrew M. Edwards
In Oceanography
Citations in the corpus
- Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment (2017, background): “In many biogeochemical models, if zooplankton are included, it is often as the top closure term (Steele and Henderson, 1992; Edwards and Yool, 2000), meaning that the mortality rate in the zooplankton compartment is treated as both a natural and predatory mortality rate.”
- Exactly Solvable Models of Biological Invasion (2005, background): “, see Edwards and Yool (2000) and references therein.”
- Adding complex trophic interactions to a size-spectral plankton model: emergent diversity patterns and limits on predictability (2011, background): “This mortality closure term is quadratic (Edwards and Yool, 2000), implicitly assuming that the stock of predators on Zj is proportional to the total zooplankton stock Ztot ≡ jZj.”
- Bridging the gap between marine biogeochemical and fisheries sciences; configuring the zooplankton link (2014, methodology): “However, there are many studies demonstrating how this unsupported choice has a pronounced effect on trophic dynamics and ecological stability (e.g., Steele and Henderson, 1981, 1992; Edwards and Yool, 2000; Fulton et al., 2003).”
- Novel interactions between phytoplankton and microzooplankton: their influence on the coupling between growth and grazing rates in the sea (2002, unknown): “As has been widely demonstrated (Stoecker & Evans, 1985; Edwards & Yool, 2000; Steele & Henderson, 1992), predatory organisms can strongly influence phytoplankton–microzooplankton interactions.”
- Adding Detritus to a Nutrient–Phytoplankton–Zooplankton Model:A Dynamical-Systems Approach (2001, methodology): “This is so that we increase the complexity of the models one step at a time, making it clear which particular amendment brings about any change in dynamical behaviour.”
- A size-resolved pelagic ecosystem model (2007, background): “Typically, trophically structured and size-structured models include a higher order mortality term, to which the solution is often quite sensitive (Edwards and Yool, 2000).”
- NPZ Models of Plankton Dynamics: Their Construction, Coupling to Physics, and Application (2002, background): “Edwards and Brindley (1996, 1999; see also Edwards and Yool, 2000) however, showed that both the linear and quadratic mortality terms allowed unforced oscillations, though the linear term allowed oscillations over a wider parameter range.”
- Modelling planktonic ecosystems: parameterizing complexity (2003, background): “However, Steele and Henderson (1992) and Edwards and Yool (2000) have shown that the mathematical form of the mortality of the top predator, the 'closure' term in an ecosystem model, strongly affects the character of simulations.”
- Mortality and predation in ecosystem models: is it important how these are expressed? (2003, methodology): “Previous papers on the subject (Steele and Henderson, 1992; Edwards and Brindley, 1999; Murray and Parslow, 1999; Edwards and Yool, 2000) have concentrated on the steady-state stability status achieved when using different closure terms.”
- Predicting the global distribution of planktonic foraminifera using a dynamic ecosystem model (2008, background): “This may be interpreted either as predation by a higher trophic level not being explicitly modeled (Steele and Henderson, 1992; Edwards and Yool, 2000).”
- Role of diatoms in regulating the ocean's silicon cycle (2003, methodology): “Zooplankton mortality is modeled by a standard quadratic function [Edwards and Yool, 2000].”
- On birth and death in the sea (2002, background): “Such nonlinearities, in the form of a quadratic mortality function, introduce markedly different dynamics into models of marine ecosystems, when compared to zooplankton mortality modeled as a linear function of zooplankton abundance (Steele & Henderson, 1992; Fasham, 1995; Edwards & Yool, 2000).”