• 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 ...
    • 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 ...
    • Fragmented tropical forests lose mutualistic plant–animal interactions 

      Marjakangas, Emma-Liina; Abrego, Nerea; Grøtan, Vidar; de Lima, Renato A.F.; Bello, Caroline; Bovendorp, Ricardo S; Laurence, Culot; Hasui, Érica; Lima, Fernando; Muylaert, Renata Lara; Niebuhr, Bernardo Brandão; Oliveira, Alexandre A.; Pereira, Lucas Augusto; Prado, Paulo I.; Stevens, Richard D.; Vancine, Maurício Humberto; Ribeiro, Milton Cezar; Galetti, Mauro; Ovaskainen, Otso (Journal article; Peer reviewed, 2019)
      Aim Forest fragmentation is among the principal causes of global biodiversity loss, yet how it affects mutualistic interactions between plants and animals at large spatial scale is poorly understood. In particular, ...
    • Land-use changes lead to functional loss of terrestrial mammals in a Neotropical rainforest 

      Magioli, Marcelo; Ferraz, Katia M.P.M. de Barros; Chiarello, Adriano Garcia; Galetti, Mauro; Setz, Eleonore Z.F.; Paglia, Adriano Pereira; Abrego, Nerea; Ribeiro, Milton Cezar; Ovaskainen, Otso (Peer reviewed; Journal article, 2021)
      Land-use changes are a main driver of modifications in tropical ecosystems, leading to the loss of species and ecological traits and affecting key ecological functions. Although much attention has been given to predict the ...
    • Monitoring Fungal Communities With the Global Spore Sampling Project 

      Ovaskainen, Otso; Abrego, Nerea; Somervuo, Panu; Palorinne, Isabella; Hardwick, Bess; Pitkänen, Juha-Matti; Andrew, Nigel R.; Niklaus, Pascal A.; Schmidt, Niels Martin; Seibold, Sebastian; Vogt, Juliane; Zakharov, Evgeny V.; Hebert, Paul D. N.; Roslin, Tomas; Ivanova, Natalia V. (Peer reviewed; Journal article, 2020)
      The kingdom Fungi is a megadiverse group represented in all ecosystem types. The global diversity and distribution of fungal taxa are poorly known, in part due to the limitations related to traditional fruit-body survey ...
    • What can observational data reveal about metacommunity processes? 

      Ovaskainen, Otso; Rybicki, Joel; Abrego, Nerea (Peer reviewed; Journal article, 2019)
      A key challenge for community ecology is to understand to what extent observational data can be used to infer the underlying community assembly processes. As different processes can lead to similar or even identical patterns, ...