INDSTOCH
Individual stochasticity and population heterogeneity in plant and animal demography
| Coordinatore | UNIVERSITEIT VAN AMSTERDAM
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
| Nazionalità Coordinatore | Netherlands [NL] |
| Totale costo | 1˙496˙655 € |
| EC contributo | 1˙496˙655 € |
| Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | ERC-2012-ADG_20120314 |
| Funding Scheme | ERC-AG |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-06-01 - 2018-05-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITEIT VAN AMSTERDAM
Organization address
address: SPUI 21 contact info |
NL (AMSTERDAM) | hostInstitution | 1˙496˙655.00 |
| 2 |
UNIVERSITEIT VAN AMSTERDAM
Organization address
address: SPUI 21 contact info |
NL (AMSTERDAM) | hostInstitution | 1˙496˙655.00 |
Mappa
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Obiettivo del progetto (Objective)
'Variation among individuals in reproduction, survival, and other demographic traits, is universal. It has two potential sources: heterogeneity (differences among individuals in their vital rates) and individual stochasticity (random differences resulting from the application of the same vital rates to identical individuals). The goal of the proposed research is to incorporate individual stochasticity and heterogeneity into demographic models for plants, animals, and humans. The project has three components: (1) a study of variation in longevity, focusing on perturbation analysis of Markov chain models for mortality, (2) an analysis of the reward structure of populations, to quantify individual stochasticity in reproduction and other properties, and (3) the development of models to incorporate heterogeneity and stochasticity into branching process models and diffusion models. These three topics will be integrated using matrix population models, integrodifference equation models, and Markov chain models for the life cycle.'