Escalating economic costs of invasive species in China driven by hidden impacts and policy gaps

文献类型： 外文期刊

第一作者： Wang, Peilin

作者： Wang, Peilin;Xue, Yantao;Zhang, Guifen;Wan, Fanghao;Zhang, Yibo;Wang, Peilin;Jiang, Hongbo;Liu, Chunlong;Zhang, Chi;Huang, Hongkun;Courchamp, Franck

作者机构：

关键词： agriculture; forestry; Policy development; InvaCost; pest; invasive alien species

期刊名称：ENTOMOLOGIA GENERALIS （ 影响因子：4.6； 五年影响因子：4.4 ）

ISSN： 0171-8177

年卷期： 2025 年

页码：

收录情况： SCI

摘要： Invasive alien species (IAS) lead to substantial economic impacts globally. Accurate estimation of these costs is critical for developing policies to manage IAS effectively, as economic costs reflect the scale of invasion consequences. Despite the expected close linkage between economic costs and management policies of IAS, their interplay remains underexplored. China ranks among the countries most severely impacted by IAS and has implemented numerous management initiatives. Here, we focus on 11 major agriculture and forestry IAS in China to (i) comprehensively estimate their total economic costs and (ii) explore the relationship between these costs and policy development since the 1980s. By scanning 9710 relevant references, we identified 431 cost data, with 87% were new (hidden costs), so missed by the InvaCost database, likely due to their being in the Chinese 'pest'-focused literature. The total economic cost of these 11 IAS amounted to US$ 236.35 billion, with US$ 223.25 billion attributable to hidden cost, revealing severe underestimation of current cost assessments. Economic costs exhibited a strong positive correlation with the number of national IAS management policies, indicating synchronized growth between economic costs and regulatory interventions. Our findings underscore the need to address terminology and language biases in databases like InvaCost to achieve comprehensive IAS cost assessments and guide efficient policy formulation.

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[1]Escalating economic costs of invasive species in China driven by hidden impacts and policy gaps. Wang, Peilin,Xue, Yantao,Zhang, Guifen,Wan, Fanghao,Zhang, Yibo,Wang, Peilin,Jiang, Hongbo,Liu, Chunlong,Zhang, Chi,Huang, Hongkun,Courchamp, Franck. 2025

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