T. Poisot

A social-ecological geography of southern Canadian Lakes

The paper develops a social-ecological framework to assess lake health and vulnerability across southern Canadian lakes, identifying key indicators of ecological alteration and recreational use.

The Global Virome in One Network (VIRION): an atlas of vertebrate-virus associations

The paper creates VIRION, a comprehensive database of vertebrate-virus associations, and demonstrates its utility for studying microbiology, ecology, and evolution.

Data proliferation, reconciliation, and synthesis in viral ecology

The paper synthesizes mammal-virus association data from multiple sources to create a reconciled database, showing improved insights into the mammal virome and advocating for synthetic datasets in viral ecology.

Food web structure alters ecological communities top-heaviness with little effect on the biodiversity-functioning relationship.

The paper uses food web models to show how community structure affects biomass distribution without significantly altering the biodiversity-functioning relationship.

Optimizing predictive models to prioritize viral discovery in zoonotic reservoirs

This study compares and validates predictive models to prioritize sampling of bat hosts for betacoronaviruses, finding ecological trait-based models outperform network methods.

Revisiting the links-species scaling relationship in food webs

The paper evaluates models for predicting species interactions in food webs and finds a beta-binomial model performs best while respecting biological constraints.

Omnidirectional and omnifunctional connectivity analyses with a diverse species pool

The paper introduces a framework for assessing omnidirectional and omnifunctional connectivity using species dispersal simulations, revealing distinct dispersal guilds and their connectivity patterns.

Environmental biases in the study of ecological networks at the planetary scale

This paper analyzes 1300 ecological networks from the mangal.io database to assess their spatial and biome coverage, revealing fragmentation and biases that hinder global synthesis and climate change forecasting.

Artificial Intelligence for Ecological and Evolutionary Synthesis

The paper explores using artificial intelligence to unify ecological and evolutionary theories by combining logic and probability to manage uncertainty in biodiversity studies.

Homogenization of species composition and species association networks are decoupled

The paper examines how species composition and species association networks change over time in Wisconsin forests, finding that shifts in associations often exceed those in composition.

Data-based, synthesis-driven: setting the agenda for computational ecology

The paper discusses the integration of computational methods in ecology, emphasizing the need for dialogue between empirical ecologists, modellers, and computational ecologists to improve data standards, model predictions, and data credit.

Revealing biases in the sampling of ecological interaction networks

This paper develops EcoNetGen to study sampling biases in ecological interaction networks and finds that sampling by species degree is most accurate for estimating network structure.

Analyzing ecological networks of species interactions

This paper reviews methods for analyzing ecological networks and suggests best practices for their application in community ecology.

Ecological Interactions and the Netflix Problem

The paper uses machine learning techniques, including recommenders and random forests, to predict ecological interactions from species traits and interaction data.

Simulations of biomass dynamics in community food webs

The paper presents a Julia implementation of a bio-energetic food web model to enable reproducible numerical experiments on biomass dynamics.

Interactions retain the co-phylogenetic matching that communities lost

The paper shows that individual host-parasite interactions retain evolutionary history despite local community phylogenetic signal being weakened or removed.