Guiding large-scale management of invasive species using network metrics

Jaime Ashander, Kailin Kroetz, Rebecca Epanchin-Niell, Nicholas B.D. Phelps, Robert G. Haight, Laura E. Dee

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Complex socio-environmental interdependencies drive biological invasions, causing damages across large spatial scales. For widespread invasions, targeting of management activities based on optimization approaches may fail due to computational or data constraints. Here, we evaluate an alternative approach that embraces complexity by representing the invasion as a network and using network structure to inform management locations. We compare optimal versus network-guided invasive species management at a landscape-scale, considering siting of boat decontamination stations targeting 1.6 million boater movements among 9,182 lakes in Minnesota, United States. Studying performance for 58 counties, we find that when full information is known on invasion status and boater movements, the best-performing network-guided metric achieves a median and lower-quartile performance of 100% of optimal. We also find that performance remains relatively high using different network metrics or with less information (median >80% and lower quartile >60% of optimal for most metrics) but is more variable, particularly at the lower quartile. Additionally, performance is generally stable across counties with varying lake counts, suggesting viability for large-scale invasion management. Our results suggest that network approaches hold promise to support sustainable resource management in contexts where modelling capacity and/or data availability are limited.

Original languageEnglish (US)
Pages (from-to)762-769
Number of pages8
JournalNature Sustainability
Issue number9
StatePublished - Sep 2022

ASJC Scopus subject areas

  • Global and Planetary Change
  • Food Science
  • Geography, Planning and Development
  • Ecology
  • Renewable Energy, Sustainability and the Environment
  • Urban Studies
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law


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