Kai Zhu

The paper evaluates how ecological context affects the interpretation of Mean Species Abundance (MSA) as a biodiversity intactness metric across different biomes and taxonomic groups.

This paper uses large language models to extract species interaction data from citizen science comments, expanding ecological data coverage and enabling new ecological research.

The paper examines how changes in bird species abundance over 50 years in North America have increased predator-prey interaction potentials, driven mainly by predator abundance increases and human land use changes.

This study predicts daily taxon-specific tree pollen exposure at 1-km resolution in Atlanta from 2020 to 2024 using a machine learning model integrating dispersion, phenology, and monitoring data.

The paper analyzes global wildfire data to show that prior low-severity fires reduce the risk of persistent forest loss from subsequent fires, suggesting targeted fire management could mitigate forest loss.

This paper analyzes individual-tree phenology across 76 U.S. cities to show how urban temperature variation affects seasonal timing and growing seasons, with responses dependent on species and regional climate.

This study uses deep learning to predict invasive plant species distributions in Michigan, showing improved accuracy over traditional models and highlighting climate scenario uncertainty.

The paper examines how community-climate disequilibrium affects net primary productivity in rangeland ecosystems, finding that mismatched communities are less productive.

The paper reviews how human activities alter ecological synchrony across scales and provides case studies on quantifying these impacts using big data.

The paper analyzes public perceptions of pollen seasons using social media data, showing alignment with natural pollen seasons and ideological differences in attributing changes to climate change.

This study shows warming advances growth timing but not necessarily total growth in boreal species, with contrasting responses between evergreen gymnosperms and deciduous angiosperms.

The paper examines temperature sensitivity of flowering phenology in wind-pollinated trees using herbarium records, finding plasticity dominates responses and sensitivity is phylogenetically conserved.

This study quantifies accelerated biomass loss in western US forestlands due to shifting fire regimes and increased drought, showing a rise in wildfire-driven carbon loss post-2015.

The paper shows that hyper-dominant bird species drive unexpected functional shifts in North American bird communities over time.

This study shows that fungal spore seasons advanced by 11-22 days across the US over two decades, but annual spore concentrations decreased, linked to climate variables.

This study predicts reproductive phenology of wind-pollinated trees using PlanetScope time series and in-situ data, showing accurate correlations between vegetative and reproductive phenology.