Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2021
Forfattere
Hui Tang Kjetil Schanke Aas Eirik Aasmo Finne Inge Althuizen Rosie A. Fisher Hans Tømmervik Ane Vollsnes Anders Bryn Sonya Rita Geange Sunniva Indrehus Vigdis Vandvik Jarle Werner Bjerke Terje Koren Berntsen Frode StordalSammendrag
Det er ikke registrert sammendrag
Forfattere
Hannah Emma Emilie Strømsrud Haga Anne B. Nilsen Heidrun Asgeirsdatter Ullerud Anders BrynSammendrag
Aim Many thematic land cover maps, such as maps of vegetation types, are based on field inventories. Studies show inconsistencies among field workers in such maps, explained by inter-observer variation in classification and/or spatial delineation of polygons. In this study, we have tested a new method to assess the accuracy of these two components independently. Location Four study sites dominated by different ecosystems in southeast Norway. Methods We have used a vegetation-based land cover classification system adapted to a map scale of 1:5,000. First, a consensus map, a map that can be considered an approximation of a flawless map, was established. Secondly, the consensus map was adapted to test the accuracy of classification and polygon delineation independently. We used 10 field workers to generate a consensus map, and 14 new field workers (in pairs) to test the accuracy (n = 7). Results The results show that the accuracy of polygon delineation is lower than that of land cover classification. This is in contrast with previous studies, but previous research designs have not enabled a separation of the two accuracy components. Conclusion We recommend strengthening the training and harmonization of field workers in general, and increasing the emphasis on polygon delineation.
2020
Sammendrag
Effektiviseringskrav, befolkningsnedgang, klimaendringer, nye forbruksmønstre, gjengroing og flere hytter gir fjell-landbruket utfordringer. Hvordan kan fjell-landbruket utvikles og er vi forberedt på framtiden?
Sammendrag
Aim: Distribution modelling is a useful approach to obtain knowledge about the spatial distribution of biodiversity, required for, for example, red-list assessments. While distribution modelling methods have been applied mostly to single species, modelling of communities and ecosystems (EDM; ecosystem-level distribution modelling) produces results that are more directly relevant for management and decision-making. Although the choice of predictors is a pivotal part of the modelling process, few studies have compared the suitability of different sets of predictors for EDM. In this study, we compare the performance of 50 single environmental variables with that of 11 composite landscape gradients (CLGs) for prediction of ecosystem types. The CLGs represent gradients in landscape element composition derived from multivariate analyses, for example “inner-outer coast” and “land use intensity.” Location: Norway. Methods: We used data from field-based ecosystem-type mapping of nine ecosystem types, and environmental variables with a resolution of 100 × 100 m. We built nine models for each ecosystem type with variables from different predictor sets. Logistic regression with forward selection of variables was used for EDM. Models were evaluated with independently collected data. Results: Most ecosystem types could be predicted reliably, although model performance differed among ecosystem types. We identified significant differences in predictive power and model parsimony across models built from different predictor sets. Climatic variables alone performed poorly, indicating that the current climate alone is not sufficient to predict the current distribution of ecosystems. Used alone, the CLGs resulted in parsimonious models with relatively high predictive power. Used together with other variables, they consistently improved the models. Main conclusions: Our study highlights the importance of variable selection in EDM. We argue that the use of composite variables as proxies for complex environmental gradients has the potential to improve predictions from EDMs and thus to inform conservation planning as well as improve the precision and credibility of red lists and global change assessments.conservation planning, distribution modelling, ecosystem classification, ecosystem types, IUCN Red List of Ecosystems, landscape gradients, spatial prediction, species response curves
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Anders Bryn Thea Grobstok Dalen Eirik Aasmo Finne Hanne Heiberg Irene Brox Nilsen Frans-Jan W. Parmentier Christine Snekkenes Frode Stordal Kjetil Schanke Aas Inge Althuizen Terje Koren Berntsen Jarle W. Bjerke Ryan Bright Anita Verpe Dyrrdal Sonya Rita Geange Norbert Pirk Oskar Puschmann Hui Tang Michal Torma Ane Vollsnes Sebastian Westermann Yeliz YilmazSammendrag
Museumsutstilling Beløp: 550000,0 NOK Brukt areal: 10,0 m2 Andel egne gjenstander: 100,0%
Sammendrag
The abstract classification system Nature in Norway (NiN) has detailed ecological definitions of a high number of ecosystem units, but its applicability in practical vegetation mapping is unknown because it was not designed with a specific mapping method in mind. To investigate this further, two methods for mapping – 3D aerial photographic interpretation of colour infrared photos and field survey – were used to map comparable neighbouring sites of 1 km2 in Hvaler Municipality, south-eastern Norway. The classification accuracy of each method was evaluated using a consensus classification of 160 randomly distributed plots within the study sites. The results showed an overall classification accuracy of 62.5% for 3D aerial photographic interpretation and 82.5% for field survey. However, the accuracy varied for the ecosystem units mapped. The classification accuracy of ecosystem units in acidic, dry and open terrain was similar for both methods, whereas classification accuracy of calcareous units was highest using field survey. The mapping progress using 3D aerial photographic interpretation was more than two times faster than that of field survey. Based on the results, the authors recommend a method combining 3D aerial photographic interpretation and field survey to achieve effectively accurate mapping in practical applications of the NiN system.
2019
Forfattere
Harald Bratli Rune Halvorsen Anders Bryn Geir Arnesen Egil Bendiksen Jon Bjarne Jordal Ellen Johanne Svalheim Vigdis Vandvik Liv Guri Velle Dag-Inge Øien Per Arild AarrestadSammendrag
Det er ikke registrert sammendrag
Sammendrag
Ved foten av Norges nest høyeste fjell, Glittertind, rager et grønt og frodig tre i det ellers så kortvokste landskapet, 1404 meter over havet. Fint tenker kanskje noen. Et farevarsel, mener forsker Anders Bryn ved Naturhistorisk museum, Universitetet i Oslo (UiO). Tendensen er at Norge blir grønnere og at det gror igjen. Det går fort. Det ser vi på bildene fra 50 år siden. Det tar ikke lang tid, forteller Oskar Puschmann, seniorrådgiver ved Norsk institutt for bioøkonomi (NIBIO).
Sammendrag
Innslag på Distriktsnyheter Østnytt, 19.august 2019, kl. 18:50