Escalating economic costs of invasive species in China driven by hidden impacts and policy gaps
文献类型: 外文期刊
作者: Wang, Peilin 1 ; Xue, Yantao 1 ; Jiang, Hongbo 2 ; Liu, Chunlong 3 ; Zhang, Chi 4 ; Huang, Hongkun 4 ; Zhang, Guifen 1 ; Wan, Fanghao 1 ; Zhang, Yibo 1 ; Courchamp, Franck 5 ;
作者机构: 1.Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Key Lab Invas Alien Species Control,Minist Agr & R, Beijing 100193, Peoples R China
2.Southwest Univ, Coll Plant Protect, Chongqing 400715, Peoples R China
3.Ocean Univ China, Coll Fisheries, Qingdao 266100, Peoples R China
4.Minist Agr & Rural Affairs, Rural Energy & Environm Agcy, Beijing 100125, Peoples R China
5.Univ Paris Saclay, CNRS, AgroParisTech, Ecol Soc & Evolut, Gif Sur Saclay, France
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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