D. Gravel

Predator-mediated interactions through changes in predator home range size can lead to local prey exclusion

The paper models how predator home range changes affect prey exclusion by integrating behavioral and demographic data from an arctic ecosystem.

Macroecological variation in movement profiles: body size does not explain it all

The paper analyzes movement profiles across vertebrates to show that body size does not fully explain movement distances, highlighting the role of ecological and biomechanical constraints.

Higher aboveground carbon stocks in mixed-species planted forests than monocultures - a meta-analysis

This study finds mixed-species planted forests store more aboveground carbon than monocultures, with higher carbon stocks in more diverse mixtures.

Effects of land use and weather on the presence and abundance of mosquito-borne disease vectors in a urban and agricultural landscape in Eastern Ontario, Canada

This study examines how weather and land use affect mosquito species occurrence and abundance in Eastern Ontario, finding that temperature, precipitation, and land cover types significantly influence these factors.

Multi-species mechanistic model of functional response provides new insights into predator-mediated interactions in a vertebrate community

The paper extends a predator-prey model to include density-dependent foraging behavior, showing it drives predator-mediated interactions in an arctic tundra community.

Derivation of predator functional responses using a mechanistic approach in a natural system

The paper develops a mechanistic model to derive predator functional responses in a natural system, finding that predator acquisition rates are not limited at high prey densities and that functional responses should be viewed as a continuum.

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.

Landscape heterogeneity buffers biodiversity of meta-food-webs under global change through rescue and drainage effects

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.

Spatial trophic cascades in communities connected by dispersal and foraging

The paper studies how species interactions propagate spatially through dispersal and foraging, showing that indirect effects differ in sign and magnitude across distances.

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.