Browsing NTNU Open by Author "Norberg, Anna"

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    • A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels 

      Norberg, Anna; Abrego, Nerea; Blanchet, F. Guillaume; Adler, Frederick R.; Anderson, Barbara J.; Anttila, Jani; Araújo, Miguel B.; Dallas, Tad; Dunson, David; Elith, Jane; Foster, Scott D.; Fox, Richard; Franklin, Janet; Godsoe, William; Guisan, Antoine; OHara, Robert Brian; Hill, Nicole A.; Holt, Robert D.; Hui, Francis K.C.; Husby, Magne; Kålås, John Atle; Lehikoinen, Aleksi; Luoto, Miska; Mod, Heidi K.; Newell, Graeme; Renner, Ian; Roslin, Tomas; Soininen, Janne; Thuiller, Wilfried; Vanhatalo, Jarno; Warton, David; White, Matt; Zimmermann, Niklaus E; Gravel, Dominique; Ovaskainen, Otso (Journal article; Peer reviewed, 2019)
      A large array of species distribution model (SDM) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear ...

    • “Beyond being analysts of doom”: scientists on the frontlines of climate action 

      Artico, Daniele; Durham, Sarah; Horn, Laura; Mezzenzana, Francesca; Morrison, Malik; Norberg, Anna (Journal article; Peer reviewed, 2023)

    • The biospheric emergency calls for scientists to change tactics 

      Racimo, Fernando; Valentini, Elia; Rijo De León, Gaston; Santos, Teresa L.; Norberg, Anna; Atmore, Lane Margaret; Murray, Myranda; Hakala, Sanja M.; Olsen, Frederik Appel; Gardner, Charlie J.; Halder, Julia B. (Peer reviewed; Journal article, 2022)
      Our current economic and political structures have an increasingly devastating impact on the Earth’s climate and ecosystems: we are facing a biospheric emergency, with catastrophic consequences for both humans and the ...

    • A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels 

      Norberg, Anna; Abrego, Nerea; Blanchet, F. Guillaume; Adler, Frederick R.; Anderson, Barbara J.; Anttila, Jani; Araújo, Miguel B.; Dallas, Tad; Dunson, David; Elith, Jane; Foster, Scott D.; Fox, Richard; Franklin, Janet; Godsoe, William; Guisan, Antoine; OHara, Robert Brian; Hill, Nicole A.; Holt, Robert D.; Hui, Francis K.C.; Husby, Magne; Kålås, John Atle; Lehikoinen, Aleksi; Luoto, Miska; Mod, Heidi K.; Newell, Graeme; Renner, Ian; Roslin, Tomas; Soininen, Janne; Thuiller, Wilfried; Vanhatalo, Jarno; Warton, David; White, Matt; Zimmermann, Niklaus E; Gravel, Dominique; Ovaskainen, Otso (Journal article; Peer reviewed, 2019)
      A large array of species distribution model (SDM) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear ...

    • Improving the predictability and interpretability of co-occurrence modelling through feature-based joint species distribution ensembles 

      Powell-Romero, Francisca; Fountain-Jones, Nicholas M.; Norberg, Anna; Clark, Nicholas J. (Peer reviewed; Journal article, 2022)
      Species Distribution Models (SDMs) are vital tools for predicting species occurrences and are used in many practical tasks including conservation and biodiversity management. However, the expanding minefield of SDM ...