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Bayesian models identify gaps in research

In a recent paper published in the journal Conservation Biology, CTBCC team researchers, led by Deborah Bower, use Bayesian modelling to identify areas requiring further research in amphibian chytrid fungus.

The amphibian chytrid fungus is reducing amphibian numbers globally. The study used a modelling technique known as Bayesian network analyses, which can integrate complex relationships in order to identify fields which lack empirical or theoretical data.  This is useful to help prioritise future research.

In summary, the models identified two specific areas of research where more data is required - changes to climatic conditions and their interactions with other factors, and also research on adaptation in the immune system of frogs and disease 'reservoirs'.  

The team suggest research in these areas will aid in understanding chytrid declines in amphibians and help prioritise conservation efforts.

Read the full paper here.