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Invasive species

Predicting invasion costs from sparse data

Nature Ecology & Evolution volume 9, pages 894–895 (2025)Cite this article

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An approach that integrates species distribution modelling with an economic cost model to predict the costs of invasive species provides an order-of-magnitude increase in the number of cost estimates and greatly increases total estimated costs.

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Fig. 1: Predicting invasion costs.

References

  1. Saffer, A., Worm, T., Takeuchi, Y. & Meentemeyer, R. Sci. Data 11, 991 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  2. Soto, I. et al. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-025-02697-5 (2025).

    Article  PubMed  Google Scholar 

  3. Henry, M. et al. Environ. Sci. Eur. 35, 1–16 (2023).

    Article  Google Scholar 

  4. Diagne, C. et al. Sci. Data 7, 277 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Soto, I. et al. ismaSA/Invacost_SDM. Github https://github.com/IsmaSA/Invacost_SDM, (accessed 11 March 2025).

  6. World Bank. World Development Indicators. World Bank https://databank.worldbank.org/source/world-development-indicators/preview/on (accessed 11 March 2025).

  7. Valavi, R., Guillera-Arroita, G., Lahoz-Monfort, J. J. & Elith, J. Ecol. Monog. 92, e01486 (2022).

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Agricultural and Resource Economics, University of Maryland, College Park, MD, USA

    Lars J. Olson

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  1. Lars J. Olson
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Correspondence to Lars J. Olson.

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The author declares no competing interests.

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Olson, L.J. Predicting invasion costs from sparse data. Nat Ecol Evol 9, 894–895 (2025). https://doi.org/10.1038/s41559-025-02700-z

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