• At which spatial and temporal scales can fungi indicate habitat connectivity? 

      Nordén, Jenni; Åström, Jens; Josefsson, Torbjörn; Blumentrath, Stefan; Ovaskainen, Otso; Sverdrup-Thygeson, Anne; Nordén, Björn (Journal article; Peer reviewed, 2018)
      Isolation of habitats in space and time affects species globally and in a multitude of ecosystems. It is however often difficult to assess the level of isolation from the point of view of the focal species. Indicator species ...
    • Consequences of barriers and changing seasonality on population dynamics and harvest of migratory ungulates 

      Van Moorter, Bram; Engen, Steinar; Fryxell, John M.; Panzacchi, Manuela; Nilsen, Erlend Birkeland; Mysterud, Atle (Peer reviewed; Journal article, 2020)
      Many animal populations providing ecosystem services, including harvest, live in seasonal environments and migrate between seasonally distinct ranges. Unfortunately, two major sources of human-induced global change threaten ...
    • Global Spore Sampling Project: A global, standardized dataset of airborne fungal DNA 

      Ovaskainen, Otso Tapio; Abrego, Nerea; Furneaux, Brendan; Hardwick, Bess; Somervuo, Panu; Palorinne, Isabella; Andrew, Nigel R.; Babiy, Ulyana V.; Bao, Tan; Bazzano, Gisela; Bondarchuk, Svetlana N.; Bonebrake, Timothy C.; Brennan, Georgina L.; Bret-Harte, Syndonia; Bässler, Claus; Cagnolo, Luciano; Cameron, Erin K.; Chapurlat, Elodie; Creer, Simon; D’Acqui, Luigi P.; de Vere, Natasha; Desprez-Loustau, Marie-Laure; Dongmo, Michel A. K.; Jacobsen, Ida B. Dyrholm; Fisher, Brian L.; de Jesus, Miguel Flores; Gilbert, Gregory S.; Griffith, Gareth W.; Gritsuk, Anna A.; Gross, Andrin; Grudd, Håkan; Halme, Panu; Hanna, Rachid; Hansen, Jannik; Hansen, Lars Holst; Hegbe, Apollon D. M. T.; Hill, Sarah; Hogg, Ian D.; Hultman, Jenni; Hyde, Kevin D.; Hynson, Nicole A.; Ivanova, Natalia; Karisto, Petteri; Kerdraon, Deirdre; Knorre, Anastasia; Krisai-Greilhüber, Irmgard; Kurhinen, Juri; Kuzmina, Masha; Lecomte, Nicolas; Lecomte, Erin; Nordén, Jenni; Nordén, Björn (Journal article; Peer reviewed, 2024)
      Novel methods for sampling and characterizing biodiversity hold great promise for re-evaluating patterns of life across the planet. The sampling of airborne spores with a cyclone sampler, and the sequencing of their DNA, ...
    • Heterogeneity among species and community dynamics – Norwegian bird communities as a case study 

      Solbu, Erik Blystad; Diserud, Ola Håvard; Kålås, John Atle; Engen, Steinar (Journal article; Peer reviewed, 2018)
      We have in this study analysed bird communities across Norway with a heterogeneous species abundance model, where dynamical parameters can vary among species. Similarity in community composition over time, used as a measure ...
    • Integrating data from different survey types for population monitoring of an endangered species: the case of the Eld’s deer 

      Bowler, Diana Elizabeth; Nilsen, Erlend Birkeland; Bischof, Richard; O'Hara, Robert B.; Yu, Thin Thin; Oo, Tun; Aung, Myint; Linnell, John Durrus (Journal article; Peer reviewed, 2019)
      Despite its value for conservation decision-making, we lack information on population abundances for most species. Because establishing large-scale monitoring schemes is rarely feasible, statistical methods that combine ...
    • A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia 

      Sicacha, Jorge; Pavòn-Jordàn, Diego; Steinsland, Ingelin; May, Roelof Frans; Stokke, Bård Gunnar; Øien, Ingar Jostein (Peer reviewed; Journal article, 2022)
      Quantifying the total number of individuals (abundance) of species is the basis for spatial ecology and biodiversity conservation. Abundance data are mostly collected through professional surveys as part of monitoring ...
    • Species distributions models may predict accurately future distributions but poorly how distributions change: A critical perspective on model validation 

      Piirainen, Sirke; Lehikoinen, Aleksi; Husby, Magne; Kålås, John Atle; Lindström, Åke; Ovaskainen, Otso Tapio (Peer reviewed; Journal article, 2023)
      Aim: Species distribution models (SDMs) are widely used to make predictions on how species distributions may change as a response to climatic change. To assess the reli-ability of those predictions, they need to be critically ...