Sebastian Höhna

The paper evaluates the robustness of multispecies coalescent methods for species delimitation in taxonomically complex systems using Mediterranean Tethya sponges, finding that hypothesis-testing approaches are more reliable than heuristic ones.

This paper introduces the covariomorph model, an extension of the covarion model for morphological phylogenetics, showing it improves accuracy by accounting for lineage- and character-specific rate variation in 50% of empirical datasets.

This study evaluates how different partition models affect divergence time estimation in fireflies using mitochondrial genomes, finding minimal impact on divergence times despite significant substitution rate variation.

This paper retrieves ancient enamel protein sequences from a 21-24 Ma rhinocerotid, providing new phylogenetic insights into Rhinocerotidae diversification during the middle Eocene-Oligocene.

This study investigates the demographic history and sex-biased migration patterns of Lampyris noctiluca, revealing a complex colonization history with maternal and male-only migration routes.

This paper introduces Pesto, a fast method for estimating branch-specific diversification rates in phylogenies without MCMC, showing high precision but limited power for detecting rate shift events.

The paper examines the interaction between variable character acquisition bias and among-character rate variation in morphological phylogenetics, showing that different conditioning approaches lead to systematic biases in tree length and phylogenetic relationships.

This study investigates how incorporating cryptic diversity into diversification dynamics analysis of crocodylians changes speciation rate estimates, finding increased rates toward the present compared to previous studies.

This study identifies four new firefly species in Guatemala, revealing deep divergence between Guatemalan and North American fireflies and highlighting biodiversity in Central America.

The paper assesses the adequacy of morphological models in phylogenetics using posterior predictive simulations and finds that current Mk model variations perform adequately but no single model is universally best.

This paper introduces a mixture model approach for divergence time estimation that improves precision and robustness compared to traditional methods while reducing computational demands.

The paper introduces PoMos, a polymorphism-aware method for species tree estimation and evolutionary force analysis using RevBayes, finding mutation and selection biases in grasshopper phylogeny.

The paper introduces a parallelization strategy to speed up marginal likelihood estimation in Bayesian phylogenetics, reducing runtime significantly with multiple CPUs.

This paper develops and tests convergence assessment methods for Bayesian phylogenetic analysis using MCMC simulations and implements them in an R package.

This paper introduces a Bayesian method to estimate branch-specific diversification rates in phylogenies, accounting for extinct lineages and showing increased diversification rates in Old World Monkeys.