PRIME

PRedicting Individual fish response as a Measure of Environmental change

 Coordinatore BOURNEMOUTH UNIVERSITY 

 Organization address address: Fern Barrow
city: "POOLE,DORSET"
postcode: BH12 5BB

contact info
Titolo: Dr.
Nome: Rodolphe
Cognome: Gozlan
Email: send email
Telefono: +44 1202 965384
Fax: +44 1202 965255

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 168˙256 €
 EC contributo 168˙256 €
 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) 2008-06-01   -   2010-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    BOURNEMOUTH UNIVERSITY

 Organization address address: Fern Barrow
city: "POOLE,DORSET"
postcode: BH12 5BB

contact info
Titolo: Dr.
Nome: Rodolphe
Cognome: Gozlan
Email: send email
Telefono: +44 1202 965384
Fax: +44 1202 965255

UK ("POOLE,DORSET") coordinator 0.00

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 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

species    laboratory    model    fish    conservation    ibm    area    predict    individual    data    training    apex    experimental    fellowship    global    literature    environmental   

 Obiettivo del progetto (Objective)

'Human activities and global changes are increasingly impacting the functioning of aquatic ecosystems. The ability of ecologists to determine how threatened populations may respond to these environmental changes is crucial for conservation management and the setting of the European environmental policy agenda. Given their position at the top of the food-web, apex predators are ideal candidates for researching their effects. Thus, the aim of the project is to predict the response of individual fish to measures of environmental change (habitat alterations and global change), using northern pike (Esox lucius) and brown trout (Salmo trutta) as model species of apex predator. The specific objectives are to collect literature derived, experimental and field data to parameterise an Individual Based Model (IBM); use the IBM to predict the present day distribution and growth rates of the species in the proposed study area; and test these predictions using existing and collected data from the study area. Finally the IBM will be used to predict the response of individual fish to various environmental change scenarios, with subsequent demonstration of the practical application to conservation management. To achieve these objectives, field and laboratory investigations will utilise literature review, experimental laboratory studies, and field data collection that includes environmental characteristics, fish movement (telemetry) and stable isotope analyses. To maximize the opportunity for successful completion, the Fellowship will be nested within, and will receive training and complementary skills from, the host institution, Bournemouth University, UK. Supervision will be undertaken by a highly experienced Scientist-in-Charge, with strong support from a steering committee comprising of experts. The fellowship will provide the candidate with access to world-class expertise and technical know-how, and obtain a high level of research training for the development of his career.'

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