Scanning the horizon for invasive plant threats using a data-driven approach (Q298692)

Journal Article published in 2022

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English	Scanning the horizon for invasive plant threats using a data-driven approach	Journal Article published in 2022

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journal article

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reference URL

https://pubs.usgs.gov/publication/70233546

author

Amy Kendig

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reference URL

https://pubs.usgs.gov/publication/70233546

Lyn Gettys

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reference URL

https://pubs.usgs.gov/publication/70233546

Patti Anderson

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

Deah Lieurance

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reference URL

https://pubs.usgs.gov/publication/70233546

Basil Iannone

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

Tabitha Petri

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

S. Luke Flory

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

Susan Canavan

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

Ian Pfingsten

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

owner

Wetland and Aquatic Research Center

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

addresses subject

Species Distribution Modeling and Climate Change Impacts

1 reference

reference URL

https://openalex.org/w4285491979

Impact of Pollinator Decline on Ecosystems and Agriculture

1 reference

reference URL

https://openalex.org/w4285491979

Diversity and Evolution of Fungal Pathogens

1 reference

reference URL

https://openalex.org/w4285491979

DOI

10.3897/neobiota.74.83312

1 reference

reference URL

https://pubs.usgs.gov/publication/70233546

USGS Publications Warehouse IndexID

70233546

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https://openalex.org/w4285491979

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Scanning the horizon for invasive plant threats using a data-driven approach (Q298692)