Complex Population Dynamics
By Peter Turchin. 2003
332 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1a4574f369c097b3edac35643e5ac4ed32c72fa3
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Citations in the corpus
- Stochastic persistence and stationary distribution in a Holling–Tanner type prey–predator model (2012, background): “Parameter h is the number of prey required to feed one predator at equilibrium conditions [10, 18].”
- Nonlinear impacts of climatic variability on the density‐dependent regulation of an insect vector of disease (2012, methodology): “The Delayed Ricker model comes from the discrete time integration of the delayed logistic equation (Turchin, 2003), and the Delayed Beverton-Holt and Gompertz models abstract the processes whereby the population size at a given time is a function of survivors from the previous time step and the recr”
- Modeling biological disturbances in LANDIS: a module description and demonstration using spruce budworm (2004, methodology): “, 1991 ), and highly sophisticated time-series analysis designed to elucidate the mechanisms driving insect population dynamics (Turchin, 2003).”
- Future challenges in cephalopod research* (2014, background): “…of cephalopod growth are required, that will combine a theoretical ecology approach (suffering at the moment from an assumption of non-overlapping generation cycles) (Turchin, 2003), a wealth of matrix models (Quinn & Deriso, 1999), and a solid physiological basis (which is lacking at the moment).”
- Differences in extreme low salinity timing and duration differentially affect eastern oyster (Crassostrea virginica) size class growth and mortality in Breton Sound, LA (2013, background): “, 2001): understanding the underlying mechanisms causing this change remains key to predicting population dynamics (Royama, 1992; Turchin, 2003).”