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Physicists at MIT have created a formula that can predict which of those outcomes is most likely.
The researchers created their formula based on analysis of hundreds of different scenarios.
They plan to test their formula in larger-scale ecosystems, including forests.
This approach could also be helpful in predicting whether probiotics or fecal microbiota treatments ( FMT ) would successfully combat infections.
The researchers plan to try to replicate their findings in ecosystems for which species diversity data is available.
Their formula could allow them to predict the success of probiotic treatment, or FMT , an experimental treatment for severe infections such as C. difficile.
"Invasions can be harmful or can be good depending on the context," Hu says.
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