José Ignacio Arroyo

This paper models how temperature affects species coexistence in pairwise competition, finding that symmetric thermal performance curves maximize coexistence at their intersection temperature.

The paper constructs a database of thermal performance curves for species across multiple domains, enabling ecological predictions and integration with environmental data.

The paper compiles a database of thermal response curves across species and performance tasks, revealing universal scaling relationships in thermal performance.

The paper develops a general model for genomic trait evolution that explains dynamics across diverse taxa and fits experimental and observational data.

The paper integrates metabolic ecology with DNA shotgun sequencing to predict metagenomic structure, showing compatibility with observed data from human, aquatic, and terrestrial microbiomes.

The paper tests a new ecological model predicting microbial diversity patterns in hot springs, finding temperature and pH influence taxonomic and functional diversity.

This study examines macroecological patterns in bacterial communities of hot springs mats at a fine spatial scale, finding sublinear species-area scaling and increasing abundance-occupancy trends.

The paper develops an algorithm to estimate per-cell proteomic properties using scaling relationships, finding higher total proteins per cell than previous estimates.

The paper constructs a global seabird foraging guild database, identifies 22 diets and 30 strategies, and shows the Gusein-Zade model fits guild structure distributions.

The paper presents the tuatara genome, highlighting its evolutionary significance and unique features compared to other vertebrates.