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BAYESLAND

Financiado

Cerrado

Community Assembly on Islands A phylogenetic Bayesian approach

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 t... ver más

31/03/2019

CSIC

158K€

Presupuesto del proyecto: 158K€

Líder del proyecto

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGA... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 552M€

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-03-31

MSCA-IF-2015-EF: Marie Skłodowska-Curie Individual F...

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Cerrada hace 9 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

CSIC

158.12K€ | Lider

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Duración del proyecto: 36 meses Fecha Inicio: 2016-03-04
Fecha Fin: 2019-03-31

Líder del proyecto

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGA... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 552M€

Presupuesto del proyecto 158K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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