APODYNA
PREDICTING POPULATION DYNAMICS FROM QUANTITATIVE TRAITS IN APODEMUS SYLVATICUS
| Coordinatore | IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 181˙142 € |
| EC contributo | 181˙142 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-2007-2-1-IEF |
| Funding Scheme | MC-IEF |
| Anno di inizio | 2008 |
| Periodo (anno-mese-giorno) | 2008-07-01 - 2010-06-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD contact info |
UK (LONDON) | coordinator | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
'Population biology is concerned with understanding how population size, phenotypic trait distributions and allele frequencies fluctuate in time. Identifying how and why variation in demographic rates generates changes in the three, and in turn, how variation in these factors feeds back on variation in demographic rates, is consequently central to population biology. There are multiple factors that influence demographic rates including life history, environmental variation, density-dependence, age structure and chance. One way to incorporate this complexity is to examine how trait distributions arise at a point in time, how these influence demographic rates, and how the realised demography alters the trait distributions at the next point in time. In this proposal we will use an approach that describes the consequences of feedback between trait distributions and demography to understand the association between trait dynamics and population dynamics, hence addressing questions in animal stochastic demography. Specifically we are interested in understanding the links between inter-individual variation in life-histories (expressed as distributions of phenotypic traits) and population dynamics. In order to do so we have identified a wild species of rodent as a model species, the Wood mouse (Apodemus sylvaticus), which will allow collecting data on phenotypic traits, their distribution and population size over time. In technical terms we will be statistically characterising the link between trait variation and population growth and asking how these associations vary with time. We will then combine these statistical associations into population models. Understanding population dynamics is important for predicting population behaviour and this has practical implications for the management of threatened or endangered species relevant for conservation and of pest species which affect agriculture and that poses a risk to human health as disease vectors.'
Introduzione (Teaser)
Imperial College London in the United Kingdom has just completed an EU-funded project that promises to shed light on the factors that affect the fitness of wild populations. Focusing on the native wood mouse, the team has left no stone unturned in the study of this small rodent.