This episode of the Physics World Weekly podcast is a conversation with two physicists, <a href="https://www.adaaltieri.com/">Ada Altieri</a> and <a href="https://www.bio.ens.psl.eu/eceem/demonte.html">Silvia De Monte</a>, who are using their expertise in statistical physics to understand the behaviour of ecological communities.
A century ago, pioneering scientists such as Alfred Lotka and Vito Volterra showed that statistical physics techniques could explain – and even predict – patterns that ecologists observe in nature. At first, this work focused on simple ecosystems containing just one or two species (such as rabbits and foxes), which are relatively easy to model.
Nowadays, though, researchers such as Altieri and De Monte are turning their attention to far more complex communities. One example is the collection of unicellular organisms known as protists that live among plankton in the ocean. Another, closer to home, is the “microbiome” in the human gut, which may contain hundreds or even thousands of species of bacteria.
Modelling these highly interconnected communities is hugely challenging. But as Altieri and De Monte explain, the potential rewards – from identifying “tipping points” in fragile ecosystems to developing new treatments for gut disorders such as irritable bowel syndrome and Crohn’s disease – are great.
This discussion is based on a <a href="https://iopscience.iop.org/article/10.1209/0295-5075/addae2">Perspective article</a> that Altieri (an associate professor at the Laboratory for Matter and Complex Systems at the Université Paris Cité, France) and De Monte (a senior research scientist at the Institute of Biology in the École Normale Supérieure in Paris and the Max Planck Institute for Evolutionary Biology in Ploen, Germany) wrote for the journal <a href="https://iopscience.iop.org/journal/0295-5075">EPL</a>, which sponsors this episode of the podcast.

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From rabbits and foxes to the human gut microbiome, physics is helping us understand the natural world

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