José Miguel Ponciano

The paper estimates local extinction risk using community science data, showing that eBird data can reliably track population persistence trends comparable to standardized monitoring.

This study evaluates methods for estimating rare ecological events using extreme value distributions, finding threshold models perform best and bias correction is sample size dependent.

This study infers the distribution of fitness effects of mutations in C. elegans using recombinant inbred lines, finding that positive effects are common but LD can skew results.

nQuack predicts ploidy from sequence data using site-based heterozygosity, improving upon existing methods with model selection and simulation.

This paper develops a stochastic model to analyze vaginal microbiome dynamics, showing how species interactions and environmental fluctuations influence microbial stability and persistence.

The paper examines how rainfall influences bird community composition, showing stronger environmental filtering in dry forests and active competition in wet forests along a precipitation gradient.

This paper links Bayesian nonparametric inference from gene genealogies to ecological population dynamics, showing that a Gaussian Process model can be interpreted as a parametric population growth model with density dependence and environmental stochasticity.