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Quantitative Ecology and Biogeography Lab

We use statistical models and computational informatics to advance the understanding, conservation, and forecasting of biodiversity under global change.

Live GBIF all-occurrence density map with GBIF dark basemap.

News

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  1. Publication New lab publication: “Human Impacts, Climate, and Trait-Mediated Responses in Contemporary Mammal Distributions” is published in Journal of Biogeography. Read the paper.

  2. Fellowship Congratulations to Luis José Aguirre-López on receiving a fellowship supporting his doctoral research in biotic interactions under human impacts. Read more.

  3. Project NSF funds a collaborative project with Joyce Ho, and Adam Smith on “Biodiversity On Demand (BOND): A Web Platform for Discovering, Comparing, and Integrating Biodiversity Databases”.

  4. Publication The work led by Yuyang Xie, “Using large language models to address the bottleneck of georeferencing natural history collections”, was published in Nature Plants. Read UNC report. Read the paper.

Research Themes

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Georeferencing benchmark for biodiversity records
Theme 1

Harnessing biodiversity big data

Digitizing, cleaning, and synthesizing biodiversity records at scale.

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Global map of plant rarity
Theme 2

Global biodiversity patterns

Mapping broad-scale biodiversity and conservation priorities.

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Ecological forecasting heatmap
Theme 3

Forecasting biodiversity change

Improving distribution forecasts under global changes.

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Ecoclimate teleconnection networks
Theme 4

Consequences of biodiversity loss

Studying climatic, ecological, and economic consequences of forest die-off and biodiversity loss.

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