Documents

DOI

  • Carmen Morales-Rodríguez
  • Sten Anslan
  • Marie Anne Auger-Rozenberg
  • Sylvie Augustin
  • Yuri Baranchikov
  • Amani Bellahirech
  • Daiva Burokiene
  • Dovile Čepukoit
  • Ejup Çota
  • Kateryna Davydenko
  • H. Tuğba Doğmuş Lehtijärvi
  • Rein Drenkhan
  • Tiia Drenkhan
  • René Eschen
  • Iva Franić
  • Milka Glavendekić
  • Maarten de Groot
  • Magdalena Kacprzyk
  • Marc Kenis
  • Natalia Kirichenko
  • Iryna Matsiakh
  • Justyna A. Nowakowska
  • Richard O'Hanlon
  • Simone Prospero
  • Alain Roques
  • Alberto Santini
  • Venche Talgø
  • Leho Tedersoo
  • Anne Uimari
  • Andrea Vannini
  • Johanna Witzell
  • Steve Woodward
  • Antonios Zambounis
  • Michelle Cleary

The number of invasive alien pest and pathogen species affecting ecosystem functioning, human health and economies has increased dramatically over the last decades. Discoveries of invasive pests and pathogens previously unknown to science or with unknown host associations yet damaging on novel hosts highlights the necessity of developing novel tools to predict their appearance in hitherto naïve environments. The use of sentinel plant systems is a promising tool to improve the detection of pests and pathogens before introduction and to provide valuable information for the development of preventative measures to minimize economic or environmental impacts. Though sentinel plantings have been established and studied during the last decade, there still remains a great need for guidance on which tools and protocols to put into practice in order to make assessments accurate and reliable. The sampling and diagnostic protocols chosen should enable as much information as possible about potential damaging agents and species identification. Consistency and comparison of results are based on the adoption of common procedures for sampling design and sample processing. In this paper, we suggest harmonized procedures that should be used in sentinel planting surveys for effective sampling and identification of potential pests and pathogens. We also review the benefits and limitations of various diagnostic methods for early detection in sentinel systems, and the feasibility of the results obtained supporting National Plant Protection Organizations in pest and commodity risk analysis.

Original languageEnglish
Pages (from-to)95-123
Number of pages29
JournalNeoBiota
Issue number47
DOIs
StatePublished - 2019

    Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science
  • Ecology
  • Animal Science and Zoology
  • Ecological Modelling
  • Plant Science
  • Insect Science

    Research areas

  • Alien invasive pests and pathogens, Commodity risk analysis, Early warning, Pest risk analysis, Prediction, Sampling techniques, Sentinel plants

ID: 62314999