Artificial intelligence applied to big data reveals that lake invasions are predicted by human traffic and co-occurring invasions
Author:
Funder
U.S. Geological Survey
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10530-024-03367-6.pdf
Reference71 articles.
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3. Bossenbroek JM, Kraft CE, Nekola JC (2001) Prediction of long-distance dispersal using gravity models: zebra mussel invasion of inland lakes. Ecol Appl 11:1778–1788. https://doi.org/10.1890/1051-0761(2001)011[1778:POLDDU]2.0.CO;2
4. Buchan LAJ, Padilla DK (2000) Predicting the likelihood of Eurasian watermilfoil presence in lakes, a macrophyte monitoring tool. Ecol Appl 10:1442–1455. https://doi.org/10.1890/1051-0761(2000)010[1442:PTLOEW]2.0.CO;2
5. Carrillo CC, Charbonneau BR, Altman S et al (2023) Patterns of dreissenid mussel invasions in western US lakes within an integrated gravity model framework. J Environ Manage 332:117383. https://doi.org/10.1016/j.jenvman.2023.117383
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