NONBREEDERS

Effects of individual heterogeneity on stochastic population processes: the case of nonbreeders

Coordinatore	THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN    more  Organization address address: KING'S COLLEGE REGENT WALK city: ABERDEEN postcode: AB24 3FX contact info Titolo: Mrs. Nome: Kerry Cognome: Kidd Email: send email Telefono: 441224000000 Fax: 441224000000
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	282˙561 €
EC contributo	282˙561 €
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-2012-IOF
Funding Scheme	MC-IOF
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-08-12   -   2016-08-11

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN  Organization address address: KING'S COLLEGE REGENT WALK city: ABERDEEN postcode: AB24 3FX contact info Titolo: Mrs. Nome: Kerry Cognome: Kidd Email: send email Telefono: 441224000000 Fax: 441224000000	UK (ABERDEEN)	coordinator	282˙561.00

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 Obiettivo del progetto (Objective)

'Successful population management depends on our ability to predict future patterns of population abundance and extinction. This requires a clear understanding of the mechanisms underlying population dynamics. In this project I will integrate mathematical, statistical and ecological approaches to provide new understanding of effects of individual heterogeneity on the stochastic dynamics and genetics of populations. I will achieve these objectives by developing and analyzing new stochastic population models that incorporate both random and nonrandom differences among individuals, specifically focusing on the role of nonbreeders in driving population processes. I will then use two long-term datasets on wild bird populations (Green-rumped parrotlets and European shags) to parameterize these models and quantify the impact of nonbreeders on key population processes and extinction risk. Nonbreeders are often present in wild populations, but are routinely ignored when predicting population dynamics, potentially introducing errors into management recommendations. In this project, I will therefore provide new theoretical and empirical advances and quantify their potential impact on management decisions. I will spend two outgoing years at the University of California, Berkeley, working with world-leading scientists in avian population ecology, statistical ecology and theoretical demography to learn and develop new methods of stochastic modeling and ecological data analysis. By combining these new skills with my existing expertise in mathematical biology, I will build an unusual skill set that is currently in high demand. I will bring this expertise back to a leading European research university, the University of Aberdeen, where my ability to link the disciplines of ecology and mathematics will allow me to forge new research initiatives and achieve new understanding of impacts of individual heterogeneity on population dynamics, thereby advancing European research excellence.'