Diversity in invasive species management networks

Nisansala Abeysinghe*, Christopher J. O'Bryan, Jonathan R. Rhodes, Eve McDonald-Madden, Angela M. Guerrero

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Effective management of invasive species requires collaboration across a range of stakeholders. These stakeholders exhibit diverse attributes such as organisation types, operational scale, objectives, and roles within projects. Identifying the diverse attributes of stakeholders is beneficial for increasing collaboration success while minimising potential conflicts among multiple stakeholders when managing invasive species across landscapes. Despite the increasing number of studies on connections among stakeholders, there is little understanding of the diverse attributes of stakeholders involved in invasive species management. This is a notable gap because the diversity of stakeholders is one of the significant factors that can influence collaboration success. To bridge this knowledge gap, we used a social network approach to identify the attributes of stakeholders that influence their participation in collaborations using a case study of invasive wild pig (Sus scrofa) management in Queensland, Australia. Our findings suggest that even though the overall stakeholder network was diverse, the stakeholder network at the project level exhibited a lack of diversity on average, particularly regarding the scale of operation and type of organisation. In other words, stakeholders are highly likely to form ties in projects involving other stakeholders from similar types of organisations or operational scales. We suggest that targeting a greater diversity of stakeholders across types of organisations and scales of operations might enhance the success of collaborative invasive species management.

Original languageEnglish
Article number121424
JournalJournal of Environmental Management
Volume365
DOIs
Publication statusPublished - Aug 2024

Keywords

  • Alien species
  • Biosecurity
  • Diversity
  • Exponential random graph model
  • Social network
  • Sus scrofa

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