Diekmann, O. & Metz, J.A.J.
(2010).
*How to lift a model for individual behaviour to the population level?*
Philosophical Transactions of the Royal Society B: Biological Sciences 365 (1557) 3523-3530. 10.1098/rstb.2010.0100.

## Abstract

The quick answer to the title question is: By bookkeeping; introduce as p(opulation)-state a measure telling how the individuals are distributed over their common i(ndividual)-state space, and track how the various i-processes change this measure. Unfortunaely, this answer leads to a mathematical theory that is technically complicated as well as immature. Alternatively, one may describe a population in terms of the history of the population birth rate together with the history of any environmental variables affecting i-state changes, reproduction and survival. Thus, a population model leads to delay equations. This delay formulation corresponds to a restriction of the p-dynamics to a forward invariant attracting set, so that no information is lost that is relevant for long-term dynamics. For such equations there exists a well-developed theory. In particular, numerical bifurcation tools work essentially the same as for ordinary differential equations. However, the available tools still need considerable adaptation befoe they can be practically applied to the dynamic energy budget (DEB) model. For the time being we recommend simplifying the i-dynamics before embarking on a systematic mathematical exploration of the associated p-behaviour. The long-term aim is to extend the tools, with the DEB model as a relevant goal post.

Item Type: | Article |
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Uncontrolled Keywords: | DEB models; Delay equations; Extinction boundary; Physiologically structured population models; Stabiity boundary |

Research Programs: | Evolution and Ecology (EEP) |

Bibliographic Reference: | Philosophical Transactions of the Royal Society B: Biological Sciences; 365(1557):3523-3530 (12 November 2010) |

Depositing User: | IIASA Import |

Date Deposited: | 15 Jan 2016 08:43 |

Last Modified: | 27 Aug 2021 17:21 |

URI: | https://pure.iiasa.ac.at/9177 |

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