Wilfried Thuiller

Biogeographical context mediates land-use impacts on tropical soil multitrophic diversity

The paper examines how biogeographic context influences land-use impacts on soil multitrophic diversity in tropical dry forests, finding region-specific responses to forest-to-pasture conversion.

Threats to Nature's Contributions to People provided by terrestrial vertebrates across Europe

The paper maps NCP provided by terrestrial vertebrates in Europe and identifies threats to these contributions, finding that many species are threatened and agricultural intensification is a major threat.

Correcting overprediction reduces the propagation of uncertainty from species distribution models into spatial conservation prioritization

This study shows that correcting overprediction in species distribution models reduces uncertainty in spatial conservation prioritization across different datasets and taxa.

Limits and Promises of Earth Observation Foundation Models in Predicting Multi-Trophic Soil Biodiversity

This study evaluates Earth Observation Foundation models for predicting soil biodiversity in the French Alps, finding that high-quality in-situ data outperform remote sensing embeddings, though they offer useful spatial context.

Tracking community change via network coherence

This paper introduces Ecological Coherence (EC) and Ecological Network Coherence (ENC) to analyze how species co-responses to environmental changes are structured and how they predict ecological instability.

Beyond species-level planning: The role of bioclimatic variation within species distributions

This study compares species-level and bioclimatic component prioritization in conservation planning, finding that bioclimatic prioritization better captures environmental heterogeneity and niche diversity.

Synergies and trade-offs between maintaining climate niche variability and preserving climate stability

This study identifies spatial priorities for protecting climatic niche variability and stability in European vertebrates, finding overlaps and trade-offs between conservation strategies.

Opportunities and challenges for applying Key BiodiversityAreas Criterion E at large spatial scales

The paper applies KBA Criterion E across Europe to assess its effectiveness in identifying irreplaceable sites for insects and tetrapods, highlighting sensitivity to analytical choices and proposing adjustments for broader applicability.

Unraveling Biodiversity Change: A multi-scale decomposition of changes in European breeding bird diversity

This study decomposes changes in European breeding bird diversity across spatial scales, revealing how community structure components drive richness trends at local and national levels.

Macro-level causal discovery from single-time-point observations of ecological dynamical systems

The paper shows that causal discovery algorithms can identify macro-level causal structures from single-time-point ecological data by detecting clustered super-unshielded colliders.

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.

TaxoNERD: deep neural models for the recognition of taxonomic entities in the ecological and evolutionary literature

TaxoNERD is a deep learning tool for recognizing taxonomic entities in ecological texts, outperforming existing methods on ecological corpora.

Invasive aliens threatened with native extinction: examining best practice for species translocations under climate change

This paper develops a decision framework for translocating climate-endangered species using microrefugia identification, while highlighting limitations of species distribution models in predicting invasion potential.