Andrea Tabi

This study identifies an information-neutral regime in stochastic systems that leads to robust metabolic scaling across species sizes.

The paper introduces a dynamical model to study how gut virome influences microbiome recovery after antibiotic-induced dysbiosis, identifying ecological thresholds and a firewall mechanism for pathogen suppression.

The paper extends the Metabolic Theory of Ecology to include hydrostatic pressure, showing it significantly improves predictions of metabolic rates in marine organisms.

The paper develops a theoretical framework to assess the invasion potential of mirror life in ecosystems, showing ecological constraints limit its establishment.

The paper shows metabolic scaling diversity arises from stochastic cellular growth dynamics, not fixed mass-metabolism relationships.

The paper shows that historical landscape complexity influences freshwater biodiversity, with species richness linked to past landscape entropy.