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.
2022
Forfattere
Ellen Johanne SvalheimSammendrag
Det er ikke registrert sammendrag
Forfattere
Ellen Johanne SvalheimSammendrag
Slåttemark inklusive lauveng fikk egen handlingsplan i 2009. Naturtypen er oppført som kritisk truet i Norsk rødliste for naturtyper fra 2018, og slåttemark inklusive lauveng blei utvalgt naturtype (UN) i 2011, og inngår med det i egen forskrift om utvalgte naturtyper med hjemmel i naturmangfoldloven § 52. Miljødirektoratet har siden 2009 gjennomført oppfølging av handlingsplanen, og etter 12 år med oppfølging blei det i 2021 igangsatt revidering av handlingsplanen for en ny planperiode 2023-2037. Denne rapporten gir en faglig oppdatering av kunnskapsgrunnlaget og sammenfatter status i oppfølgingsarbeidet.
Forfattere
Anders Mahlum Melås Marit Aursand Ida Grong Aursand Bjørn Eidem Silje Forbord Gunn Turid Kvam Roald Sand Inger Beate Standal Grete Stokstad Egil Petter Stræte Margareth ØverlandSammendrag
Det er ikke registrert sammendrag
Forfattere
Einar StrandSammendrag
Det er ikke registrert sammendrag
Forfattere
Einar StrandSammendrag
Det er ikke registrert sammendrag
Forfattere
Einar StrandSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Samson Øpstad Gro Hylen Erling MeisingsetSammendrag
Bestandsforvaltninga av hjort må ha som grunnpilar å ta vare på og byggja på kvalitet i hjortestamma. Men, det er ikkje berre omsyn til hjorten sjølv som krev god og gjennomtenkt hjorteforvaltning.
Forfattere
Ólöf Dóra Bartels Jónsdóttir Davíð Gíslason Guðbjörg Ólafsdóttir Simo Maduna Snorre Hagen Patrick Reynolds Sæmundur Sveinsson Albert ImslandSammendrag
Lumpfish is now the single most important cleaner fish species to date and there is an extensive lumpfish translocation along the Norwegian coast. A reliable baseline information about the population genetic structure of lumpfish is a prerequisite for an optimal managing of the species to minimize possible genetic translocation and avoid possible hybridisation and introgression with local populations. The current study is a follow up of the study of Jónsdóttir et al. (2018) using expressed sequence tag-short tandem repeats (EST-STRs) markers. Samples (N = 291) were analysed from six sample locations along the Norwegian coastline from south to north, with additional 18 samples of first-generation (from wild fish) reared fish from a fish farm outside Tromsø (North Norway). Present findings show a lack of population differentiation among lumpfish sampling population along the Norwegian coast using EST-STRs, which is in accordance with the findings of Jónsdóttir et al. (2018) where genomic STRs (g-STRs) were analysed. Present findings indicate that should translocated lumpfish escape from salmon sea pens in Norway, this will probably have little impact on the genetic composition of the local lumpfish population.
Sammendrag
The alpine treeline ecotone is expected to move upwards in elevation with global warming. Thus, mapping treeline ecotones is crucial in monitoring potential changes. Previous remote sensing studies have focused on the usage of satellites and aircrafts for mapping the treeline ecotone. However, treeline ecotones can be highly heterogenous, and thus the use of imagery with higher spatial resolution should be investigated. We evaluate the potential of using unmanned aerial vehicles (UAVs) for the collection of ultra-high spatial resolution imagery for mapping treeline ecotone land covers. We acquired imagery and field reference data from 32 treeline ecotone sites along a 1100 km latitudinal gradient in Norway (60–69°N). Before classification, we performed a superpixel segmentation of the UAV-derived orthomosaics and assigned land cover classes to segments: rock, water, snow, shadow, wetland, tree-covered area and five classes within the ridge-snowbed gradient. We calculated features providing spectral, textural, three-dimensional vegetation structure, topographical and shape information for the classification. To evaluate the influence of acquisition time during the growing season and geographical variations, we performed four sets of classifications: global, seasonal-based, geographical regional-based and seasonal-regional-based. We found no differences in overall accuracy (OA) between the different classifications, and the global model with observations irrespective of data acquisition timing and geographical region had an OA of 73%. When accounting for similarities between closely related classes along the ridge-snowbed gradient, the accuracy increased to 92.6%. We found spectral features related to visible, red-edge and near-infrared bands to be the most important to predict treeline ecotone land cover classes. Our results show that the use of UAVs is efficient in mapping treeline ecotones, and that data can be acquired irrespective of timing within a growing season and geographical region to get accurate land cover maps. This can overcome constraints of a short field-season or low-resolution remote sensing data.