Blar i Institutt for matematiske fag på forfatter "Ovaskainen, Otso Tapio"
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Airborne DNA reveals predictable spatial and seasonal dynamics of fungi
Abrego, Nerea; Furneaux, Brendan; Hardwick, Bess; Somervuo, Panu; Palorinne, Isabella; Aguilar-Trigueros, Carlos A.; 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; Holst-Hansen, Lars; 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-Greilhuber, Irmgard; Kurhinen, Juri; Kuzmina, Masha; Lecomte, Nicolas; Lecomte, Erin; Nordén, Jenni; Nordén, Björn; Ovaskainen, Otso Tapio (Journal article; Peer reviewed, 2024)Fungi are among the most diverse and ecologically important kingdoms in life. However, the distributional ranges of fungi remain largely unknown as do the ecological mechanisms that shape their distributions1,2. To provide ... -
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, ... -
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 ... -
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 ...