Florian Altermatt

This study uses large language models to extract ecological interactions from 83,910 scientific papers, creating a network of 144,402 interactions between 36,471 taxa with high precision and sensitivity.

This study reanalyzes global riverine fish eDNA datasets to show that biodiversity conclusions are robust despite varying bioinformatic workflows and reference databases.

The paper evaluates how habitat patch size, quality, and connectivity affect urban biodiversity across taxa, finding small patches significantly contribute to species richness and community diversity.

This study shows that eDNA can capture seasonal changes in aquatic insect communities across a river catchment, revealing phenological trends and species dynamics over time.

This study shows how seasonal changes and migration timing affect species coexistence and biomass production across ecosystems.

The paper shows that diverse ecosystems in North America are more productive and stable under drought, driven by complementarity among ecosystem types.

The paper manipulates biodiversity and riparian forests to show their positive effects on aquatic-terrestrial ecosystem functions in both temperate and tropical streams.

The paper investigates how landscape diversity affects vegetation productivity at the kilometer scale using satellite data and land cover analysis, finding a universal association between landscape diversity and productivity.

This study uses global eDNA data to show how riverine fish biodiversity relates to drainage characteristics, revealing climate and human activity effects vary by biodiversity facet and catchment size.

The paper tests how temperature and biodiversity affect the size-abundance relationship in protist communities, finding context-dependent shifts in the scaling slope.

This study synthesizes global data showing that land-cover changes in watersheds negatively impact freshwater detrital food webs by reducing biodiversity and ecosystem processes.

The paper develops spatial biodiversity indicators and a composite index for conservation planning in Switzerland using habitat suitability data across 17 taxonomic groups and 7,500 species.

This study shows that mobile consumers affect ecosystem biomass and their own fitness, with effects dependent on community composition.

eDITH is an R-package that projects eDNA-based biodiversity across river networks using hydrological models and minimal prior information, producing spatially integrated biodiversity maps.

This study compares eDNA and kicknet methods for assessing biodiversity in a river network, finding similar richness estimates but differing community composition assessments.

The paper examines how environmental and anthropogenic factors influence trophic structure across spatial scales in the Swiss Rhine river catchment using integrative path analysis.

This study quantifies global carbon subsidies between ecosystems, showing their significant role in ecosystem functioning and highlighting gaps in current understanding.

The paper tests how bottom-up and top-down controls affect dispersal across species and shows their impacts on community dynamics.

The paper examines how population turnover in river-like landscapes reverses traditional island biogeography predictions.

The paper introduces the ecological forecast horizon as a framework to assess the limits of ecological predictions across time, space, and phylogeny, using case studies to illustrate its applications and determinants.