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BAYESLAND aims to enhance the understanding of species distribution by integrating ecological and historical factors in biogeography. The project develops advanced models using Bayesian inference to analyze community assembly patterns, particularly in island ecosystems like the Canary Islands.
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. H…
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
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