D. Zurell

Dispersal syndromes allow understanding but not predicting dispersal ability across the tree of life.

The paper investigates dispersal syndromes in European birds, finding that body mass and life history traits predict dispersal, but syndromes are poor predictors for phylogenetically distant species.

The best of two worlds: using stacked generalization for integrating expert range maps in species distribution models

This paper integrates expert range maps with species distribution models using stacked generalization to improve range delineation and account for uncertainty.

Rank-based deep learning from citizen-science data to model plant communities

The paper uses deep learning to model plant species distributions and community composition from citizen-science data, showing improved accuracy over traditional methods.

Fitting individual-based models of spatial population dynamics to long-term monitoring data

The paper calibrates and validates a dynamic species distribution model using long-term monitoring data of Swiss red kites, showing improved predictive accuracy compared to correlative models.

Demography-environment relationships improve mechanistic understanding of range dynamics under climate change

The paper builds process-based models to understand how climate affects bird populations, finding temperature and precipitation strongly influence demographic processes.

The clustering of spatially associated species unravels patterns in Bornean tree species distributions

This paper introduces a method to cluster spatially associated species to uncover patterns in tree distributions and assess habitat loss impacts in Borneo.

Strategies for sampling pseudo-absences for species distribution models in complex mountainous terrain

This study evaluates pseudo-absence strategies for species distribution models in complex mountainous terrain, finding that generic and species-specific approaches can produce robust predictions, with environmental stratification improving performance in biased datasets.

Standardised empirical dispersal kernels emphasise the pervasiveness of long-distance dispersal in European birds

This study estimates and compares empirical dispersal kernels for European birds, finding that long-distance dispersal is common across species and life stages.

Interannual climate variability data improves niche estimates in species distribution models

This study shows that incorporating interannual climate variability improves species distribution model predictions, especially for ectotherms.

RangeShifter 2.0: An extended and enhanced platform for modelling spatial eco-evolutionary dynamics and species' responses to environmental changes.

RangeShifter 2.0 models spatial eco-evolutionary dynamics and species responses to environmental changes with enhanced genetic and dispersal simulation capabilities.

RangeShiftR: an R package for individual-based simulation of spatial eco-evolutionary dynamics and species' responses to environmental change

Causes and consequences of facultative sea crossing in a soaring migrant

This study examines how atmospheric and geographic factors influence route selection in migrating white storks, finding that wind patterns and energy costs affect whether birds cross or circumvent the Mediterranean Sea.