• Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation 

      Dambly, Lea I.; Isaac, Nick J. B.; Jones, Kate E.; Boughey, Katherine L.; O'Hara, Robert Brian (Journal article; Peer reviewed, 2023)
      The ever-growing popularity of citizen science, as well as recent technological and digital developments, have allowed the collection of data on species' distributions at an extraordinary rate. In order to take advantage ...
    • Integrating dispersal along freshwater ecosystems into species distribution models 

      Perrin, Sam Wenaas; Englund, Göran; Blumentrath, Stefan; O'Hara, Robert Brian; Amundsen, Per-Arne; Finstad, Anders Gravbrøt (Journal article; Peer reviewed, 2020)
      Aim: Our ability to model species distributions and abundances is a valuable ecological tool in predicting future distributions of species. Effectively incorporating connectivity into these predictions is crucial; however, ...
    • Recommendations for quantitative uncertainty consideration in ecology and evolution 

      Simmonds, Emily Grace; Adjei, Kwaku Peprah; Cretois, Benjamin; Dickel, Lisa; González-Gil, Ricardo; Laverick, Jack H; Mandeville, Caitlin Marie; Mandeville, Elizabeth G; Ovaskainen, Otso Tapio; Sicacha-Parada, Jorge; Skarstein, Emma Sofie; O'Hara, Robert Brian (Peer reviewed; Journal article, 2023)
      Ecological and evolutionary studies are currently failing to achieve complete and consistent reporting of model-related uncertainty. We identify three key barriers – a focus on parameter-related uncertainty, obscure ...