ARC

Adaptive Responses to Climate Change

 Coordinatore UNIVERSITAET ZUERICH 

 Organization address address: Raemistrasse 71
city: ZURICH
postcode: 8006

contact info
Titolo: Prof.
Nome: Arpat
Cognome: Ozgul
Email: send email
Telefono: +41 44 6354746

 Nazionalità Coordinatore Switzerland [CH]
 Totale costo 184˙709 €
 EC contributo 184˙709 €
 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-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-03-01   -   2015-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET ZUERICH

 Organization address address: Raemistrasse 71
city: ZURICH
postcode: 8006

contact info
Titolo: Prof.
Nome: Arpat
Cognome: Ozgul
Email: send email
Telefono: +41 44 6354746

CH (ZURICH) coordinator 184˙709.40

Mappa


 Word cloud

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

climate    phenotypic    arc    species    mechanisms    responses    physiological    influence    predict    evolutionary    population    alpine    marmota    demographic    mechanistic    populations   

 Obiettivo del progetto (Objective)

'The major challenge in climate-change ecology is to predict the impact of future climate change on populations. To provide the most realistic way to forecast the future of key species, we must consider simultaneously demographic (e.g. growth, rate of survival and reproduction), physiological/behavioural mechanisms (e.g. hormonal responses, thermal tolerances, huddling) and genetic vs phenotypic variation. However integrative mechanistic population models that incorporate these processes remain scarce. The ARC project meets this challenge and responds today to the need of a complete framework. It will provide a mechanistic view of the causes and consequences of populations’ responses to climate change to predict their distribution and implement accurate conservation strategies. My project presents a rare combination of data, skills and experience by combining a long-term (1990-2012) dataset and experimental explorations of the proximal mechanisms using the Alpine marmot (Marmota marmota) as a model species. Using a four-tier approach, I will (i) investigate environmental and social factors that influence phenotypic and phenological traits affecting population dynamic; (ii) determine the physiological mechanisms underlying the critical trait-demography relationships; (iii) identify the relative roles of evolutionary and ecological responses. Then, I will integrate demographic, physiological and evolutionary processes identified above to predict the change in this alpine species’ range and evaluate its vulnerability or resilience to current climate change. To elucidate the complexity of adaptive responses to climate change, it brings together complementary knowledge and methods from disparate disciplines. The multi-disciplinary approach and state-of-the-art methods proposed by the ARC project is a crucial step towards a more comprehensive and mechanistic understanding of the influence of climate change on population viability and, ultimately, on biodiversity.'

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