Article

Explainable AI reveals the quantitative hierarchical architecture of global bird extinction risk

2026-05-21

Abstract excerpt

Identifying what makes species vulnerable to extinction requires accounting for complex biological and environmental interactions. Due to their high predictive accuracy, machine learning methods have been widely used for these assessments; however, relying on black-box models offers limited interpretability. Here, using a comprehensive dataset of anthropogenic, ecological, morphological, demographic, and biogeogra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9b501a1c-1b23-5cdf-87ef-25f111a684bd
DOI: 10.64898/2026.05.18.726070

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Explainable AI reveals the quantitative hierarchical architecture of global bird extinction riskDOI 10.64898/2026.05.18.726070Read

Species traits predict extinction risk across the Tree of LifeSemantic proximity Read

Assessing patterns of extinction risk among mammal species in Nigeria: A comparative analysis of human impactSemantic proximity Read

Explaining the primate extinction crisis: predictors of extinction risk and active threats.Semantic proximity Read

Extinction risk predictions for the world’s flowering plants to support their conservationSemantic proximity Read

What kind of birds are more susceptible to avian malaria? A global analysis based on interpretable machine learning approachSemantic proximity Read

Quantifying extinction potential from invasive alien speciesSemantic proximity Read

The nature of threat category changes in three Mediterranean biodiversity hotspotsSemantic proximity Read

Threat intensification reshapes trait-response relationships in birds and mammalsSemantic proximity Read

Ecological and socio-economic factors affecting extinction risk in parrotsSemantic proximity Read

Integrating behaviour and ecology into global biodiversity conservation strategiesSemantic proximity Read

Regional trait-threat interactions determine extinction risk in plantsSemantic proximity Read

Detecting stabilizing, directional, and disruptive patterns of anthropogenic species loss with general models of nonrandom extinctionSemantic proximity Read