B. Gauzens

Quantitative description of six fish species' gut contents and abundances of their prey in the benthic food web of the Baltic Sea (1968-1978)

The paper compiles and analyzes gut content data from six fish species in the Baltic Sea to study trophic interactions and foraging behavior in relation to environmental changes.

Improving forest ecosystem functions by optimizing tree species spatial arrangement

The paper shows that increasing tree species spatial heterogeneity in forests improves litter decomposition and nitrogen cycling by 45%.

Identifying key species in meta-communities

The paper identifies key species in meta-communities by modifying PageRank to account for landscape networks and food webs, showing that species importance varies with spatial context.

Biodiversity and local interaction complexity promote sustainable fisheries in large food webs

This study uses a synthetic model to show that fishing impacts on species depend on trophic level, local interaction complexity, and biodiversity, suggesting sustainable fisheries should target low trophic level species in high biodiversity ecosystems.

ATNr : Allometric trophic models in R

The paper introduces the ATNr R package, which implements Allometric Trophic Network models to simulate biomass dynamics of trophically interacting species.

Global environmental drivers of local abundance-mass scaling in soil animal communities

The paper examines how climatic and edaphic factors influence body mass-abundance scaling in soil animal communities across four countries.

Flexible foraging behaviour increases predator vulnerability to climate change

The paper shows that flexible foraging in fish leads to reduced consumption efficiency and biodiversity under warming conditions.

fluxweb: a R package to easily estimate energy fluxes in food webs

fluxweb estimates energy fluxes in food webs using a steady-state model and integrates with allometric theory, providing tools for flux calculation and network stability analysis.