About Hikaru Keebler

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So far Hikaru Keebler has created 6 blog entries.

May 2026 Funk Biogeography Seminar — Michael Landis

Phylogenetic models of historical biogeography Fully understanding how any species evolved involves knowing where it lived. As the complete biogeographic history for most lineages cannot be directly observed, biologists often use phylogenetic models to reconstruct ancestral species ranges and to infer regional rates of dispersal, speciation, and extinction. This talk will [...]

April 2026 Funk Biogeography Seminar — Damaris Zurell

Forecasting like a climate scientist - predicting biodiversity change in the Anthropocene Biodiversity and ecosystems are degrading worldwide in response to multiple anthropogenic pressures. Yet, our ability to anticipate these changes remains limited. Current approaches are largely retrospective, making it difficult to evaluate future risks or the consequences of different [...]

March 2026 Funk Biogeography Seminar — Catherine Graham

Biodiversity patterns in environmental space Ever since Aristotle suggested that the distributions of organisms were related to environmental factors and Humboldt travelled the world observing dramatic differences in species richness depending on climate, scientists have been keenly aware that climate strongly influences the distribution and persistence of species on earth. Given [...]

February 2026 Funk Biogeography Seminar — Juan Pablo Quimbayo

Scaling Marine Biodiversity: Insights from a Trait-Based Framework Marine ecosystems are shaped by complex ecological and evolutionary processes that operate across spatial scales, from fine local gradients to broad biogeographical patterns. Capturing how biodiversity emerges from these drivers requires moving beyond traditional taxonomic approaches toward integrative frameworks that explicitly incorporate functional [...]

January 2026 Funk Biogeography Seminar — Pedro Peres-Neto

Ecology & Evolution in Spatial Structured Environments Ecological and evolutionary dynamics occur in environments that are intrinsically spatially structured, yet spatial environmental heterogeneity is often treated as a statistical complication (e.g., a nuisance term to be removed, a source of spatial autocorrelation to be corrected, or variance to be averaged out) [...]

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