This study addresses economic and ecological aspects related to aquatic invasive species occurrence and spread. The relative importance of these two factors driving the probability of occurrence of Elodea canadensis species in lakes of Sweden is quantified. Night-time lights data, a proxy for economic activity, is generated from satellite imagery and mapped to key environmental variables known to constrain the species' distribution. Economic and environmental data are then matched with the species' observational records at the lake scale. Evidence from a spatial probit model shows a robust positive relationship between economic activity and invasion of uninvaded lakes.

这项研究涉及与水生入侵物种的发生和扩散有关的经济和生态方面。量化了这两个因素在瑞典湖泊中驱动加拿大Elodea canadensis物种发生的可能性的相对重要性。夜间照明数据是代表经济活动的数据，是通过卫星图像生成的，并映射到已知的主要环境变量中，该变量会限制物种的分布。然后将经济和环境数据与该物种在湖泊尺度上的观测记录相匹配。空间概率模型的证据表明，经济活动与未入侵湖泊的入侵之间存在稳固的正相关关系。