Invasion Syndromes: transforming the understanding and management of biological invasions

Call

2024 – 2025 BiodivTransform

Duration

01/03/2026 – 28/02/2029

Total grant

Approx. 1.2 mil. €

More information

Peter Haase

Partners of the project

  • Senckenberg Research Institute and Natural History Museum, Frankfurt, Germany
  • Department of River Ecology and Conservation, Senckenberg Research Institute, Gelnhausen, Germany
  • Department of Biology, University of Duisburg-Essen, Essen, Germany
  • Department of Ecology, University of Innsbruck, Innsbruck, Austria
  • Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
  • Department of Biological Sciences, University of Bergen, Bergen, Norway
BiodivTransform_InvaSyn_map

Context

Human activities are moving species around the world at an unprecedented rate. Most introduced species cause no harm, but a small proportion become invasive, spreading rapidly and damaging biodiversity, ecosystems, economies and human well-being. As a result, invasive species are now recognised as one of the main global drivers of biodiversity loss. Managing biological invasions is a major societal challenge, yet predicting which species will become invasive, and where, remains extremely difficult. Invasions are highly context-dependent, influenced by species traits, environmental conditions and humans. The InvaSyn project proposes a new approach to managing biological invasions based on identifying recurring ‘invasion syndromes’. By integrating ecological, social and economic information at a global scale, the project aims to develop practical, evidence-based strategies to support more effective responses to biological invasions.

Main objectives

  • Group invasion events into shared ‘invasion syndromes’ based on similar causes, impacts and management needs.
  • Collaborate with policymakers, managers, NGOs and local communities to improve invasive species policies and management.

Main activities

  • Build a comprehensive global database on plant invasions, integrating ecological, social and economic information.
  • Use machine learning to identify patterns and classify invasion events into distinct invasion syndromes.
  • Hold workshops with policymakers, practitioners and communities to validate results and incorporate practical knowledge.
  • Evaluate how the invasion syndromes approach can be incorporated into existing policies.
  • Design tailored management options for each identified invasion syndrome.
  • Share data and tools openly and communicate results through scientific and outreach activities.

By shifting the focus from individual invasions to broader invasion contexts, InvaSyn will help:

  • make invasive species management more efficient and cost-effective;
  • improve cooperation between scientists, policymakers and practitioners;
  • enable proactive and effective responses to biological invasions.