A review of optimization models on invasive species management

Invasive species have been a growing threat to the U.S. and the world because of increased trade and travel. They disturb the ecosystem, negatively impact biodiversity, and cause a loss of $138 billion to the U.S. economy annually in agriculture, forestry, water ecosystem, and international trade. The economic cost associated with invasive species also escalates proportionally to the size of the invasion. Various studies have been conducted to determine strategies for reducing the size and cost of invasive species and for effectively controlling them. In this paper, we provide a literature review of the models developed for invasive species management from the perspective of surveillance and control actions. We also distinguish the studies in terms of optimization modelling techniques and solution methodologies. Furthermore, we compare three studies in detail with respect to their scope, application areas, methodologies, objectives, constraints, and implications. Finally, we provide a discussion about the research gaps and recommendations for future studies in the field of invasive species management.