Unevenly distributed biological invasion costs among origin and recipient regions

生物多样性 入侵物种 生物安全 经济成本 持续性 地理 经济影响分析 宏观生态学 生态学 自然资源经济学 环境资源管理 业务 生物 经济 新古典经济学 微观经济学
作者
Emma J. Hudgins,Ross N. Cuthbert,Phillip J. Haubrock,Nigel G. Taylor,Melina Kourantidou,Dat Tien Nguyen,Alok Bang,Anna J. Turbelin,Desika Moodley,Elizabeta Briski,Syrmalenia G. Kotronaki,Franck Courchamp
出处
期刊:Nature sustainability [Springer Nature]
卷期号:6 (9): 1113-1124 被引量:26
标识
DOI:10.1038/s41893-023-01124-6
摘要

Globalization challenges sustainability by intensifying the ecological and economic impacts of biological invasions. These impacts may be unevenly distributed worldwide, with costs disproportionately incurred by a few regions. We identify economic cost distributions of invasions among origin and recipient countries and continents, and determine socio-economic and biodiversity-related predictors of cost dynamics. Using data filtered from the InvaCost database, which inevitably includes geographic biases in cost reporting, we found that recorded costly invasive alien species have originated from almost all regions, most frequently causing impacts to Europe. In terms of cost magnitude, reported monetary costs predominantly resulted from species with origins in Asia impacting North America. High reported cost linkages (flows) between species’ native countries and their invaded countries were related to proxies of shared environments and shared trade history. This pattern can be partly attributed to the legacy of colonial expansion and trade patterns. The characterization of ‘sender’ and ‘receiver’ regions of invasive alien species and their associated cost can contribute to more sustainable economies and societies while protecting biodiversity by informing biosecurity planning and the prioritization of control efforts across invasion routes. The impacts of biological invasions may be unevenly distributed globally, with a few regions bearing most of the cost. This study identifies cost distributions of invasions among origin and recipient countries and continents, and determines socio-economic and environmental predictors of cost dynamics.
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