Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants

Research output: Contribution to journalArticle


Invasive plants cause substantial economic and environmental damage throughout the world. However, eradication of most invasive species is impossible and, in some cases, undesirable. An alternative is to slow the spread of an invasive species, which can delay impacts or reduce their extent. We identify three main areas where models are used extensively in the study of plant spread and its management: (i) identifying the key drivers of spread to better target management, (ii) determining the role spatial structure of landscapes plays in plant invasions, and (iii) integrating management structures and limitations to guide the implementation of control measures. We show how these three components have been approached in the ecological literature as well as their potential for improving management practices. Particularly, we argue that scientists can help managers of invasive species by providing information about plant invasion on which managers can base their decisions (i and ii) and by modeling the decision process through optimization and agent-based models (iii). Finally, we show how these approaches can be articulated for integrative studies.


External organisations
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  • University of Queensland
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Ecology
  • Earth and Related Environmental Sciences


  • Exotic species, Integrodifference equation, Landscape, Network theory, Seed dispersal
Original languageEnglish
Pages (from-to)72-83
Number of pages12
JournalAnnals of the New York Academy of Sciences
Issue number1
Publication statusPublished - 2012 Feb
Publication categoryResearch
Externally publishedYes