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Integrated Methods for Monitoring the Invasive Potential and Management of Heracleum mantegazzianum (giant hogweed) in Switzerland

Author

Listed:
  • Ross T. Shackleton

    (University of Lausanne, Institute of Geography and Sustainability)

  • Blaise Petitpierre

    (University of Lausanne, Biophore, Department of Ecology and Evolution (DEE))

  • Mila Pajkovic

    (University of Lausanne, Biophore, Department of Ecology and Evolution (DEE))

  • Florian Dessimoz

    (University of Lausanne, Biophore, Department of Ecology and Evolution (DEE))

  • Olivier Brönnimann

    (University of Lausanne, Biophore, Department of Ecology and Evolution (DEE)
    University of Lausanne, Geopolis, Institute of Earth Surface Dynamics (IDYST))

  • Loïc Cattin

    (University of Lausanne, Institute of Geography and Sustainability)

  • Šárka Čejková

    (Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology
    Charles University, Department of Ecology, Faculty of Science)

  • Christian A. Kull

    (University of Lausanne, Institute of Geography and Sustainability)

  • Jan Pergl

    (Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology)

  • Petr Pyšek

    (Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology
    Charles University, Department of Ecology, Faculty of Science)

  • Nigel Yoccoz

    (UiT The Arctic University of Norway, Department of Arctic and Marine Biology)

  • Antoine Guisan

    (University of Lausanne, Biophore, Department of Ecology and Evolution (DEE)
    University of Lausanne, Geopolis, Institute of Earth Surface Dynamics (IDYST))

Abstract

Biological invasions are a major driver of human-induced global environmental change. This makes monitoring of potential spread, population changes and control measures necessary for guiding management. We illustrate the value of integrated methods (species distribution modelling (SDM), plant population monitoring and questionnaires) for monitoring and assessing invasions of Heracleum mantegazzianum (giant hogweed) over time in Switzerland. SDMs highlighted the potential spread of the species, uncovered ecological mechanisms underlying invasions and guided monitoring at a regional level. We used adaptive and repeat plant sampling to monitor invasive population status and changes, and assess the effectiveness of H. mantegazzianum management over three periods (2005, 2013 and 2018) within the pre-Alps, Vaud. We also conducted questionnaire surveys with managers and the public. Multiscale modelling, and integrating global and regional SDMs, provided the best predictions, showing that H. mantegazzianum can potentially invade large parts of Switzerland, especially below 2 000 m a.s.l. Over time, populations of invasive H. mantegazzianum in the Vaud pre-Alps have declined, which is most likely due to a sharp rise in management uptake post 2007 (7% of municipalities before 2007 to 86% in 2018). The level of known invasive populations has decreased by 54% over time. Some municipalities have even successfully eradicated H. mantegazzianum within their borders. However, a few areas, particularly in the rural, higher-altitude municipalities, where management was not implemented effectively, populations have expanded, which could hamper control efforts at lower altitudes. We provide encouraging evidence that control measures can be effective in reducing plant invasions with long-term commitment, as well as a good template for using integrated methodological approaches to better study and monitor invasive alien species.

Suggested Citation

  • Ross T. Shackleton & Blaise Petitpierre & Mila Pajkovic & Florian Dessimoz & Olivier Brönnimann & Loïc Cattin & Šárka Čejková & Christian A. Kull & Jan Pergl & Petr Pyšek & Nigel Yoccoz & Antoine Guis, 2020. "Integrated Methods for Monitoring the Invasive Potential and Management of Heracleum mantegazzianum (giant hogweed) in Switzerland," Environmental Management, Springer, vol. 65(6), pages 829-842, June.
  • Handle: RePEc:spr:envman:v:65:y:2020:i:6:d:10.1007_s00267-020-01282-9
    DOI: 10.1007/s00267-020-01282-9
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