Theoretical ecology is largely founded on the principle of mass action, in which uncoordinated populations of predators and prey move in a random and well-mixed fashion across a featureless landscape. The conceptual core of this body of theory is the functional response, predicting the rate of prey consumption by individual predators as a function of predator and/or prey densities(1-5). This assumption is seriously violated in many ecosystems in which predators and/or prey form social groups. Here we develop a new set of group-dependent functional responses to consider the ecological implications of sociality and apply the model to the Serengeti ecosystem. All of the prey species typically captured by Serengeti lions (Panthera leo) are gregarious, exhibiting nonlinear relationships between prey-group density and population density. The observed patterns of group formation profoundly reduce food intake rates below the levels expected under random mixing, having as strong an impact on intake rates as the seasonal migratory behaviour of the herbivores. A dynamical system model parameterized for the Serengeti ecosystem (using wildebeest (Connochaetes taurinus) as a well-studied example) shows that grouping strongly stabilizes interactions between lions and wildebeest. Our results suggest that social groups rather than individuals are the basic building blocks around which predator-prey interactions should be modelled and that group formation may provide the underlying stability of many ecosystems.
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CNR, Ist Applicazioni Calcolo Mauro Picone, Via P Castellino 111, Naples, ItalyUniv Naples Federico II, Dept Math & Applicat R Caccioppoli, Via Cintia, Naples, Italy
Carfora, M. F.
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De Luca, R.
Torcicollo, I.
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CNR, Ist Applicazioni Calcolo Mauro Picone, Via P Castellino 111, Naples, ItalyUniv Naples Federico II, Dept Math & Applicat R Caccioppoli, Via Cintia, Naples, Italy
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S China Normal Univ, Sch Math Sci, Guangzhou 510631, Guangdong, Peoples R ChinaS China Normal Univ, Sch Math Sci, Guangzhou 510631, Guangdong, Peoples R China
Liu, Xiuxiang
Lou, Yijun
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Mem Univ Newfoundland, Dept Math & Stat, St John, NF A1C 5S7, CanadaS China Normal Univ, Sch Math Sci, Guangzhou 510631, Guangdong, Peoples R China
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Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA
Univ Delaware, Dept Biomed Engn, Newark, DE 19716 USA
Univ Delaware, Dept Math Sci, Newark, DE 19716 USAUniv Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA
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Univ W Indies, Dept Comp Sci Math & Phys, Computat Phys Lab, Cave Hill, BarbadosUniv W Indies, Dept Comp Sci Math & Phys, Computat Phys Lab, Cave Hill, Barbados
Bradshaw, AT
Moseley, LL
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Univ W Indies, Dept Comp Sci Math & Phys, Computat Phys Lab, Cave Hill, BarbadosUniv W Indies, Dept Comp Sci Math & Phys, Computat Phys Lab, Cave Hill, Barbados