• Addressing a critique of the TEASI framework for invasive species risk assessment 

      Leung, B.; Roura-Pascual, N.; Bacher, S.; Heikkila, J.; Brotons, L.; Burgman, M.A.; Dehnen-Schmutz, K.; Essl, F.; Hulme, P.E.; Richardson, D.M.; Sol, D.; Vila, M. (John Wiley & Sons Ltd/CNRS, 2013)
      We address criticism that the Transport, Establishment, Abundance, Spread, Impact (TEASI) framework does not facilitate objective mapping of risk assessment methods nor defines best practice. We explain why TEASI is ...
    • A four-component classification of uncertainties in biological invasions: implications for management 

      Latombe, G.; Canavan, S.; Hirsch, H.; Hui, C.; Kumschick, S.; Nsikani, M.N.; Potgieter, L.J.; Robinson, T.B.; Saul, W.-C.; Turner, S.C.; Wilson, J.R.U.; Yannelli, F.A.; Richardson, D.M. (John Wiley & Sons, Inc, 2019)
      Although uncertainty is an integral part of any science, it raises doubts in public perception about scientific evidence, is exploited by denialists, and therefore potentially hinders the implementation of management ...
    • TEASIng apart alien-species risk assessments: A framework for best practices 

      Leung, B.; Roura-Pascual, N.; Bacher, S.; Heikkilä, J.; Brotons, L.; Burgman, M.A.; Dehnen-Schmutz, K.; Essl, E.; Hulme, P.E.; Richardson, D.M.; Sol, D.; Vilà, M. (Blackwell Publishing, 2012)
      Some alien species cause substantial impacts, yet most are innocuous. Given limited resources, forecasting risks from alien species will help prioritise management. Given that risk assessment (RA) approaches vary widely, ...