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Economic costs of non-native species in Türkiye: A first national synthesis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F24%3A43908114" target="_blank" >RIV/60076658:12520/24:43908114 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.jenvman.2024.120779" target="_blank" >https://doi.org/10.1016/j.jenvman.2024.120779</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jenvman.2024.120779" target="_blank" >10.1016/j.jenvman.2024.120779</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Economic costs of non-native species in Türkiye: A first national synthesis

  • Original language description

    Biological invasions are increasingly recognised as a major global change that erodes ecosystems, societal wellbeing, and economies. However, comprehensive analyses of their economic ramifications are missing for most national economies, despite rapidly escalating costs globally. T &amp; uuml;rkiye is highly vulnerable to biological invasions owing to its extensive transport network and trade connections as well as its unique transcontinental position at the interface of Europe and Asia. This study presents the first analysis of the reported economic costs caused by biological invasions in T &amp; uuml;rkiye. The InvaCost database which compiles invasive non-native species&apos; monetary costs was used, complemented with cost searches specific to T &amp; uuml;rkiye, to describe the spatial and taxonomic attributes of costly invasive non-native species, the types of costs, and their temporal trends. The total economic cost attributed to invasive non-native species in T &amp; uuml;rkiye (from 202 cost reporting documents) amounted to US$ 4.1 billion from 1960 to 2022. However, cost data were only available for 87 out of 872 (10%) non-native species known for T &amp; uuml;rkiye. Costs were biased towards a few hyper -costly non-native taxa, such as jellyfish, stink bugs, and locusts. Among impacted sectors, agriculture bore the highest total cost, reaching US$ 2.85 billion, followed by the fishery sector with a total cost of US$ 1.20 billion. Management (i.e., control and eradication) costs were, against expectations, substantially higher than reported damage costs (US$ 2.89 billion vs. US$ 28.4 million). Yearly costs incurred by non-native species rose exponentially over time, reaching US$ 504 million per year in 2020-2022 and are predicted to increase further in the next 10 years. A large deficit of cost records compared to other countries was also shown, suggesting a larger monetary underestimate than is typically observed. These findings underscore the need for improved cost recording as well as preventative management strategies to reduce future post -invasion management costs and help inform decisions to manage the economic burdens posed by invasive non-native species. These insights further emphasise the crucial role of standardised data in accurately estimating the costs associated with invasive non-native species for prioritisation and communication purposes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Environmental Management

  • ISSN

    0301-4797

  • e-ISSN

    1095-8630

  • Volume of the periodical

    358

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

  • UT code for WoS article

    001242908300001

  • EID of the result in the Scopus database

    2-s2.0-85189759125