title: Restructuring fundamental predator-prey models by recognising prey-dependent conversion efficiency and mortality rates.
abstract: Incorporating protozoa into population models (from simple predator-prey explorations to complex food web simulations) is of conceptual, ecological, and economic importance. From theoretical and empirical perspectives, we expose unappreciated complexity in the traditional predator-prey model structure and provide a parsimonious solution, especially for protistologists. We focus on how prey abundance alters two key components of models: predator conversion efficiency (e, the proportion of prey converted to predator, before mortality loss) and predator mortality (δ, the portion of the population lost though death). Using a well-established model system (Paramecium and Didinium), we collect data to parameterize a range of existing and novel population models that differ in the functional forms of e and δ. We then compare model simulations to an empirically obtained time-series of predator-prey population dynamics. The analysis indicates that prey-dependent e and δ should be considered when structuring population models and that both prey and predator biomass also vary with prey abundance. Both of these impact the ability of the model to predict population dynamics and, therefore, should be included in theoretical model evaluations and assessment of ecosystem dynamics associated with biomass flux.
authors.affiliation: Laboratory of Protozoology, KLB07006, College of Life Science, South China Normal University, Guangzhou 510631, China.
authors.forename: Jiqiu
authors.initials: J
authors.lastname: Li
authors.affiliation: Institute of Integrative Biology, BioSciences Building, University of Liverpool, Liverpool, UK L6 97ZB. Electronic address: dmontag@liv.ac.uk.
authors.forename: David J S
authors.initials: DJ
authors.lastname: Montagnes
mesh_terms: D018533:Biomass; D016798:Ciliophora / Q000502:physiology*; D003198:Computer Simulation; D017753:Ecosystem; D020387:Food Chain; D008954:Models, Biological; D010247:Paramecium / Q000502:physiology; D011157:Population Dynamics
keywords: Assimilation; Didinium; Lotka-Volterra; Paramecium; Rosenzweig-MacArthur.; population model