E. K. Meineke

This study shows vehicle pollution increases insect damage to street trees, with caterpillars preferring leaves from highway-adjacent trees.

The paper develops machine learning models to automate herbivory data extraction from digitized herbarium specimens, achieving 81.5% accuracy in classifying herbivory types.

This study shows that temperature, not land cover, primarily drives phorid fly biodiversity in urban Los Angeles, with intermediate temperatures supporting higher abundance and richness.

This study uses herbarium records to show that Protea species in sub-Saharan Africa flower earlier with increasing temperature, similar to northern temperate species.

This paper highlights the underutilized potential of herbaria for global change biology, emphasizing their value in studying ecological and evolutionary responses to climate change and other biodiversity loss drivers.