bioRxivEcologyPreprint
GIRAF 1.0: A unified global framework to anticipate plant pest invasions
Aaron I. Plex SuláiD, Özgur BatumaniD, Gilles CellieriD, Nicholas S. DufaultiD, Berea A. EthertoniD, Amanda Hodges, Tiffany M. Lowe‐PoweriD, John D. McVayiD, Cory J. PencaiD, Kyle Schroeder, Eleni Stilian, Piotr Suder, Yu TakeúchiiD, Henri E Z TonnangiD, Ying Wang, Karen A. GarrettiD
Abstract
Plant pests threaten 10-40% of global food production, resulting in $55-220 billion in annual economic losses. Despite these escalating risks, biosecurity remains largely reactive, lacking anticipatory frameworks that integrate pest-specific drivers governing transboundary spread. We present GIRAF 1.0 (Global Invasion Risk Assessment Framework), the first quantitative, data-driven system that unifies pest-specific multi-host landscapes, abiotic suitability, and global trade networks with international phytosanitary policies. We applied GIRAF to four globally devastating pests - ranging from viral to insect taxa - to reconstruct a century of transcontinental spread and generate the first multiscale atlases of future invasion potential. GIRAF reveals that 22-37% of Earths land surface can contain host communities that largely overlap with environmentally suitable hotspots. Over 115 countries are highly vulnerable to trade-mediated pest introductions despite adopted phytosanitary policies. GIRAF provides a foundation for proactive surveillance and pandemic preparedness, offering a scalable path for transnational biosecurity agencies and global food industries.
- organism: plant (other)
- assay: metagenomics
- assay: spatial transcriptomics
- research focus: ecology & biodiversity
- research focus: benchmarking
- research focus: database / resource
- approach: deep learning
- approach: statistical model
- Citations
- 2
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