Blar i NTNU Open på forfatter "O'Hara, Robert Brian"
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Accounting for spatial bias in citizen science observations of Norwegian freshwater fish by using an effort spatial field
Skarstein, Emma Sofie (Master thesis, 2020)Modellbasert dataintegrasjon gir et lovende rammeverk for konstruksjon av artsfordelingsmodeller ved bruk av folkeforsknings-data sammen med strukturerte data fra undersøkelser, men en vanlig utfordring er hvordan man skal ... -
Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation
Dambly, Lea I.; Isaac, Nick J. B.; Jones, Kate E.; Boughey, Katherine L.; O'Hara, Robert Brian (Journal article; Peer reviewed, 2023)The ever-growing popularity of citizen science, as well as recent technological and digital developments, have allowed the collection of data on species' distributions at an extraordinary rate. In order to take advantage ... -
Integrating dispersal along freshwater ecosystems into species distribution models
Perrin, Sam Wenaas; Englund, Göran; Blumentrath, Stefan; O'Hara, Robert Brian; Amundsen, Per-Arne; Finstad, Anders Gravbrøt (Journal article; Peer reviewed, 2020)Aim: Our ability to model species distributions and abundances is a valuable ecological tool in predicting future distributions of species. Effectively incorporating connectivity into these predictions is crucial; however, ... -
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 ...