Opendata, web and dolomites


Community Assembly on Islands: A phylogenetic Bayesian approach

Total Cost €


EC-Contrib. €






Project "BAYESLAND" data sheet

The following table provides information about the project.


Organization address
address: CALLE SERRANO 117
city: MADRID
postcode: 28006

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2019-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Biologists have sought to understand geographic patterns of species distribution for centuries. The process of community assembly, which determines how species integrate and maintain in local assemblages, is key to understanding the factors underlying species distribution. However, the extreme complexity of ecosystems has prevented the development of a general theory of biogeography and community ecology. This is exemplified by the current schism between ecological and historical biogeography. Historically, short-time, ecological explanations such as species interactions with the environment, have dominated the field. Only recently has it been acknowledged that community composition must also be determined by historical factors, and as such the future of community ecology and biogeography must bridge ecological and historical paradigms. To this end, BAYESLAND will analyse biogeographical patterns in islands by combining ecological and historical approaches. This will be done by developing new biogeographic models using Bayesian inference for estimating historical processes of community assembly, while also accounting for (i) ecological differences among lineages, and (ii) the influence of ecological factors on historical processes. This project is expected to result in novel cutting-edge analytical techniques in biogeography. In addition, the application of these new tools to extensive molecular datasets from the Canary Islands is likely to offer new predictions on community assembly. BAYESLAND will transfer to the fellow the host's strong experience in analytical biogeography and macro-ecology, complementing his experience in eco-evolutionary studies of island communities. The fellow will develop skills in method development, NGS, theoretical knowledge and project management, which will be paramount to his career development.


year authors and title journal last update
List of publications.
2018 Andrea S. Meseguer, Jorge M. Lobo, Josselin Cornuault, David Beerling, Brad R. Ruhfel, Charles C. Davis, Emmanuelle Jousselin, Isabel Sanmartín
Reconstructing deep-time palaeoclimate legacies in the clusioid Malpighiales unveils their role in the evolution and extinction of the boreotropical flora
published pages: 616-628, ISSN: 1466-822X, DOI: 10.1111/geb.12724
Global Ecology and Biogeography 27/5 2019-06-07

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The information about "BAYESLAND" are provided by the European Opendata Portal: CORDIS opendata.

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