F. Hartig

Assembly processes inferred from eDNA surveys of a pond metacommunity are consistent with known species ecologies

The paper uses eDNA surveys to infer metacommunity assembly processes in ponds and finds environmental factors and species interactions shape community composition.

A Comparison of Deep Learning Architectures for Inferring Parameters of Diversification Models from Extant Phylogenies

This study compares deep learning architectures for inferring diversification model parameters from phylogenies, finding that CNNs and RNNs with LTTs outperform other methods for CRBD, while BISSE requires topology and tip states.

Fitting individual-based models of spatial population dynamics to long-term monitoring data

The paper calibrates and validates a dynamic species distribution model using long-term monitoring data of Swiss red kites, showing improved predictive accuracy compared to correlative models.

Demography-environment relationships improve mechanistic understanding of range dynamics under climate change

The paper builds process-based models to understand how climate affects bird populations, finding temperature and precipitation strongly influence demographic processes.

gen3sis: the general engine for eco-evolutionary simulations on the origins of biodiversity

The paper introduces gen3sis, an eco-evolutionary simulation engine that models biodiversity patterns and finds energy-based carrying capacity best explains the latitudinal diversity gradient.

The Internal Structure of Metacommunities

The paper introduces a new framework to analyze the internal structure of metacommunities by examining how different species and sites contribute to metacommunity attributes, using synthetic data and Joint Species Distribution Models.

Prior hypotheses or regularization allow inference of diversification histories from extant timetrees

The paper investigates the implications of multiple congruent models with different diversification dynamics but equal likelihood for empirical trees, concluding they do not invalidate hypothesis-driven or data-driven approaches.