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.
2019
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Sunndal er en viktig jordbrukskommune i Møre og Romsdal. Melkeproduksjon er hovedproduksjonen. I tillegg til grovfôrproduksjon til storfe dyrkes det både korn og potet. Kunnskap om jordsmonnet er viktig både for å produsere mest mulig mat med minst mulig miljøbelastning. Kunnskapen er også viktig for en god arealforvaltning.
Forfattere
O. Janne Kjønaas Teresa Gómez de la Bárcena Ryan Bright Mette Hansen Gro Hylen Håvard Kauserud Sunil Mundra Jørn-Frode Nordbakken Tonje Økland Carlo AallSammendrag
Det er ikke registrert sammendrag
Forfattere
O. Janne Kjønaas Teresa Gómez de la Bárcena Hansen Mette Sunil Mundra Håvard Kauserud Gro Hylen Tonje Økland Jørn-Frode NordbakkenSammendrag
Det er ikke registrert sammendrag
Forfattere
O. Janne Kjønaas Teresa Gómez de la Bárcena Ryan Bright Mette Hansen Gro Hylen Håvard Kauserud Sunil Mundra Jørn-Frode Nordbakken Tonje Økland Carlo AallSammendrag
Det er ikke registrert sammendrag
Forfattere
O. Janne Kjønaas Teresa Gómez de la Bárcena Ryan Bright Mette Hanssen Gro Hylen Håvard Kauserud Tonje Økland Mundra Sunil Jørn-Frode Nordbakken Carlo AallSammendrag
Det er ikke registrert sammendrag
Forfattere
Xiao Huang Höglind Mats Knut Bjørkelo Torben Christensen Kjetil Fadnes Teresa Gómez de la Bárcena Åsa Kasimir Leif Klemedtsson Bjørn Kløve Anders Lyngstad Mikhail Mastepanov Hannu Marttila Marcel van Oijen Peter Petros Ina Pohle Jagadeesh Yeluripati Hanna Marika SilvennoinenSammendrag
Cultivated organic soils account for ∼7% of Norway’s agricultural land area, and they are estimated to be a significant source of greenhouse gas (GHG) emissions. The project ‘Climate smart management practices on Norwegian organic soils’ (MYR), commissioned by the Research Council of Norway (decision no. 281109), aims to evaluate GHG (e.g. carbon dioxide, methane and nitrous oxide) emissions and impacts on biomass productivity from three land use types (cultivated, abandoned and restored) on organic soils. At the cultivated sites, impacts of drainage depth and management intensity will be measured. We established experimental sites in Norway covering a broad range of climate and management regimes, which will produce observational data in high spatiotemporal resolution during 2019-2021. Using state-of-the-art modelling techniques, MYR aims to predict the potential GHG mitigation under different scenarios. Four models (BASGRA, DNDC, Coup and ECOSSE) will be further developed according to the soil properties, and then used independently in simulating biogeochemical processes and biomass dynamics in the different land uses. Robust parameterization schemes for each model will be based in the observational data from the project for both soil and crop combinations. Eventually, a multi-model ensemble prediction will be carried out to provide scenario analyses by 2030 and 2050. By integrating experimental results and modelling, the project aims at generating useful information for recommendations on environment-friendly use of Norwegian peatlands.
Forfattere
Jörn Strassemeyer Ole Martin Eklo Marianne Stenrød Eivind Solbakken Roar Lågbu Tor-Einar Skog D Daehmlow Anto Raja DominicSammendrag
Det er ikke registrert sammendrag
Sammendrag
Rapporten dokumenterer effekter av vannmiljøtiltak og synergier med andre miljøtema som utslipp av klimagasser, karbonbinding i jord, økosystemtjenester og klimatilpasning. Eksempler på tiltakspakker er laget for utvalgte regioner og produksjoner. Rapporten gir oversikt over kart, kalkulatorer og andre hjelpemidler som kan brukes for tiltaksplanlegging og forslag til videreutvikling. Se utvidet sammendrag.
Forfattere
Xiao Huang Mats Höglind Knut Bjørkelo Torben Christensen Kjetil Fadnes Teresa Gómez de la Bárcena Åsa Kasimir Leif Klemedtsson Bjørn Kløve Anders Lyngstad Mikhail Mastepanov Hannu Marttila Marcel Van Oijen Peter Petros Ina Pohle Jagadeesh Yeluripati Hanna Marika SilvennoinenSammendrag
Cultivated organic soils (7-8% of Norway’s agricultural land area) are economically important sources for forage production in some regions in Norway, but they are also ‘hot spots’ for greenhouse gas (GHG) emissions. The project ‘Climate smart management practices on Norwegian organic soils’ (MYR; funded by the Research Council of Norway, decision no. 281109) will evaluate how water table management and the intensity of other management practices (i.e. tillage and fertilization intensity) affects both GHG emissions and forage’s quality & production. The overall aim of MYR is to generate useful information for recommendations on climate-friendly management of Norwegian peatlands for both policy makers and farmers. For this project, we established two experimental sites on Norwegian peatlands for grass cultivation, of which one in Northern (subarctic, continental climate) and another in Southern (temperate, coastal climate) Norway. Both sites have a water table level (WTL) gradient ranging from low to high. In order to explore the effects of management practices, controlled trials with different fertilization strategies and tillage intensity will be conducted at these sites with WTL gradients considered. Meanwhile, GHG emissions (including carbon dioxide, methane and nitrous oxide), crop-related observations (e.g. phenology, production), and hydrological conditions (e.g. soil moisture, WTL dynamics) will be monitored with high spatiotemporal resolution along the WTL gradients during 2019-2021. Besides, MYR aims at predicting potential GHG mitigation under different scenarios by using state-of-the-art modelling techniques. Four models (BASGRA, Coup, DNDC and ECOSSE), with strengths in predicting grass growth, hydrological processes, soil nitrification-denitrification and carbon decomposition, respectively, will be further developed according to the soil properties. Then these models will be used independently to simulate biogeochemical and agroecological processes in our experimental fields. Robust parameterization schemes will be based on the observational data for both soil and crop combinations. Eventually, a multi-model ensemble prediction will be carried out to provide scenario analyses by 2030 and 2050. We will couple these process-based models with optimization algorithm to explore the potential reduction in GHG emissions with consideration of production sustenance, and upscale our assessment to regional level.