Loïc Pellissier

Multi-scale neural networks enhance species distribution modelling across predictors and taxonomic groups

This study evaluates multi-scale deep learning models for species distribution, showing improved performance and reduced sensitivity to scale selection across plant and animal species.

Large river eDNA sampling designs with remote-sensing-based clustering stratification

This paper proposes a remote-sensing-based stratification method for eDNA sampling in rivers, showing improved detection efficiency compared to random sampling and highlighting the need for hydrological integration.

Integrated reanalysis of global riverine fish eDNA datasets shows robustness and congruence of biodiversity conclusions

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

Assessing the impact of renewable energy installations on biodiversity and identifying sustainable trade-offs

This study assesses renewable energy impacts on biodiversity and identifies siting strategies that balance energy production with conservation goals across solar, hydropower, and wind installations in Switzerland.

Dynamic sedimentary ancient DNA models of Fennoscandic Holocene plant communities reveal the role of temperature and competition

This study uses sedimentary ancient DNA data from 10 lakes in Fennoscandia to model Holocene plant community dynamics, showing that temperature and competition, especially shading, significantly influence community structure.

Globally unified analysis of riverine eDNA reveals common associations of fish biodiversity with drainage characteristics

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.

Spatial Biodiversity Indicators and a Composite Index for Conservation Prioritization in Switzerland

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.

Fast processing of environmental DNA metabarcoding sequence data using convolutional neural networks

This paper uses convolutional neural networks to process eDNA metabarcoding data, achieving faster speeds than OBITools while maintaining comparable accuracy.

Species ecology explains the various spatial components of genetic diversity in tropical reef fishes

The paper investigates how ecological traits influence genetic diversity components in tropical reef fishes, finding that abundance and larval duration affect genetic diversity patterns.

The determinants of alpine butterfly richness and composition vary according to the ecological traits of species

The paper examines how environmental factors influence butterfly species richness and composition, finding that generalists are driven by climate variables while specialists depend on habitat and plant diversity.