MOVINGTREES

Tree range dynamics under changing climates: a new modelling framework for reconstructing the past and predicting the future

 Coordinatore THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE 

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Ms.
Nome: Renata
Cognome: Schaeffer
Email: send email
Telefono: +44 1223 333543
Fax: +44 1223 332988

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 202˙892 €
 EC contributo 202˙892 €
 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-2010-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-10-01   -   2013-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Ms.
Nome: Renata
Cognome: Schaeffer
Email: send email
Telefono: +44 1223 333543
Fax: +44 1223 332988

UK (CAMBRIDGE) coordinator 202˙892.80

Mappa


 Word cloud

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

models    persistence    time    species    fossil    record    distributions    despite    migration    predicting    refugia    location    cryptic    tree    rates    reconstruct    predict    model    climate   

 Obiettivo del progetto (Objective)

'Climate change is currently considered one of the main threats for biodiversity and ecosystem services. Despite intense research aimed at predicting the impacts of climate change on the distribution and abundance of many species, we are still lacking a comprehensive framework for understanding and predicting species responses to climate changes. In this regard, one of the most promising research lines is the thorough investigation of the ecological and evolutionary consequences of past climate changes. This has often been attempted through examination of the fossil record, or by means of phylogeographical surveys and Species Distribution Models (SDMs). Despite their valuable contributions, all these sources of inference have their own caveats and limitations that preclude further understanding. For instance, accurate migration rates, persistence of rear-edge populations, or location of cryptic refugia are difficult to obtain at large (continental) scales by any of these methods. Here we propose the use of new approaches to model species distributions, based on metapopulation theory and Bayesian dynamic occupancy models, to reconstruct the range dynamics of several European tree species since the LGM, as well as to predict the expected changes in species distributions as a consequence of current climate change. Thus, the fossil record will be integrated with state-of-the-art palaeoclimate simulations to reconstruct species distributions at 1000-year time steps, and for the end of this century. Among other advantages, our integrative modelling approach permits the probabilistic estimation of population persistence and migration rates as well as inferring the location of cryptic refugia, in relation to prevailing climatic conditions. Proper parameterization and validation of the models for the Holocene period will help to ensure their applicability for predicting future changes driven by current climate change.'

Introduzione (Teaser)

Scientists have, for the first time, built a comprehensive model of species range for several European tree species. This will help predict how their distribution will change over time.

Altri progetti dello stesso programma (FP7-PEOPLE)

YESVITE (2014)

Yeasts for the Sustainability in Viticulture and Oenology

Read More  

MIRNATHERAPYNBL (2013)

New epigenetic therapy for high-risk neuroblastoma

Read More  

CARDIO-DETECT (2009)

The detection of boundary changes as a method for early diagnosis of cardiovascular disease

Read More