Using species ranges and macroeconomic data to fill the gap in costs of biological invasions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F25%3A43909707" target="_blank" >RIV/60076658:12520/25:43909707 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1038/s41559-025-02697-5" target="_blank" >https://doi.org/10.1038/s41559-025-02697-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41559-025-02697-5" target="_blank" >10.1038/s41559-025-02697-5</a>

Result language

angličtina

Original language name

Using species ranges and macroeconomic data to fill the gap in costs of biological invasions

Original language description

Biological invasions threaten global biodiversity, human well-being and economies. Many regional and taxonomic syntheses of monetary costs have been produced recently but with important knowledge gaps owing to uneven geographic and taxonomic research intensity. Here we combine species distribution models, macroeconomic data and the InvaCost database to produce the highest resolution spatio-temporal cost estimates currently available to bridge these gaps. From a subset of 162 invasive species with &apos;highly reliable&apos; documented costs at the national level, our interpolation focuses on countries that have not reported any costs despite the known presence of invasive species. This analysis demonstrates a substantial underestimation, with global costs potentially estimated to be 1,646% higher for these species than previously recorded. This discrepancy was uneven geographically and taxonomically, respectively peaking in Europe and for plants. Our results showed that damage costs were primarily driven by gross domestic product, human population size, agricultural area and environmental suitability, whereas management expenditure correlated with gross domestic product and agriculture areas. We also found a lag time for damage costs of 46 years, but management spending was not delayed. The methodological predictive approach of this study provides a more complete view of the economic dimensions of biological invasions and narrows the global disparity in invasion cost reporting.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10618 - Ecology

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nature Ecology &amp; Evolution

ISSN

2397-334X

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

6

Country of publishing house

GB - UNITED KINGDOM

Number of pages

17

Pages from-to

nestránkováno

UT code for WoS article

001494972200001

EID of the result in the Scopus database

2-s2.0-105006553616