• Advancing restoration ecology: A new approach to predict time to recovery 

      Rydgren, Knut; Halvorsen, Rune; Töpper, Joachim Paul; Auestad, Inger; Hamre, Liv Norunn; Jongejans, Eelke; Sulavik, Jan (Journal article; Peer reviewed, 2018)
      1. Species composition is a vital attribute of any ecosystem. Accordingly, ecological restoration often has the original, or “natural,” species composition as its target. However, we still lack adequate methods for predicting ...
    • MetaComNet: A random forest-based framework for making spatial predictions of plant-pollinator interactions 

      Sydenham, Markus A. K.; Venter, Zander; Reitan, Trond; Rasmussen, Claus; Skrindo, Astrid Brekke; Skoog, Daniel Ingvar Jeuderan; Hanevik, Kaj-Andreas; Hegland, Stein Joar; Dupont, Yoko L.; Nielsen, Anders; Chipperfield, Joseph; Rusch, Graciela (Peer reviewed; Journal article, 2021)
      Predicting plant–pollinator interaction networks over space and time will improve our understanding of how environmental change is likely to impact the functioning of ecosystems. Here we propose a framework for producing ...