Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2020
Forfattere
Vibeke Stærkebye Nørstebø Svein Olav Krøgli Misganu Debella-Gilo Gerardo Alfredo Perez Valdes Kristin Tolstad Uggen Wenche DramstadSammendrag
No abstract has been registered
Forfattere
Xiao Huang Mats Höglind Akanegbu Justice Knut Bjørkelo Torben Christensen Kjetil Fadnes Teresa Gómez de la Bárcena Per-Erik Jansson Åsa Kasimir Bjørn Kløve Anders Lyngstad Mikhail Mastepanov Hannu Marttila Marcel Van Oijen 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 2019-2022. Using state-of-the-art modelling techniques, MYR aims to predict the potential GHG mitigation under different scenarios (e.g. different water table depth, management practices and climate pattern). Four models (BASGRA, DNDC, Coup and ECOSSE) will be further developed according to the physical/chemical properties of peat soil and then used independently in simulating biogeochemical processes and biomass dynamics in the different land uses. Robust parameterization schemes for each model to improve the predictive accuracy will be derived from a new dataset collected from multiple experimental sites in the Nordic region. Thereafter, the models will be used in the regional simulation to present the spatial heterogeneity in large scale. 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.
Sammendrag
No abstract has been registered
Forfattere
Hans Renes Csaba Centeri Sebastian Eiter Bénédicte Gaillard Alexandra Kruse Zdenek Kucera Oskar Puschmann Michael Roth Martina SlámováSammendrag
From the Middle Ages until the twentieth century, water meadows in Europe were primarily irrigated to improve their productivity and to lengthen the growing season. They were water management systems designed to collect and use water and to discharge it: water had to be kept moving. This chapter presents a general overview and a history of research on European water meadows. It also examines examples from the sandy landscapes of northwestern Europe, from Slovakia, and Norway. Three main types of water meadows are distinguished: simple dam systems, more elaborate catchworks, and highly developed bedworks. Of these, bedworks were technically and organizationally the most complex; they were also the most costly in construction and maintenance. Most water meadows were abandoned in the twentieth century; in many places, however, their traces can still be recognized in the landscape. They are both an interesting part of European agrarian and landscape heritage and a carrier of regional identity. In recent years, a number of water meadows have been restored, for ecological, water management, tourism, and heritage purposes.
2019
Sammendrag
No abstract has been registered
Forfattere
Rasmus Astrup Johannes Rahlf Knut Bjørkelo Misganu Debella-Gilo Arnt Kristian Gjertsen Johannes BreidenbachSammendrag
This paper describes the development and utility of the Norwegian forest resources map (SR16). SR16 is developed using photogrammetric point cloud data with ground plots from the Norwegian National Forest Inventory (NFI). First, an existing forest mask was updated with object-based image analysis methods. Evaluation against the NFI forest definitions showed Cohen's kappa of 0.80 and accuracy of 0.91 in the lowlands and a kappa of 0.73 and an accuracy of 0.96 in the mountains. Within the updated forest mask, a 16×16 m raster map was developed with Lorey's height, volume, biomass, and tree species as attributes (SR16-raster). All attributes were predicted with generalized linear models that explained about 70% of the observed variation and had relative RMSEs of about 50%. SR16-raster was segmented into stand-like polygons that are relatively homogenous in respect to tree species, volume, site index, and Lorey's height (SR16-vector). When SR16 was utilized in a combination with the NFI plots and a model-assisted estimator, the precision was on average 2–3 times higher than estimates based on field data only. In conclusion, SR16 is useful for improved estimates from the Norwegian NFI at various scales. The mapped products may be useful as additional information in Forest Management Inventories.
Forfattere
Idoia Biurrun Sabina Burrascano Iwona Dembicz Riccardo Guarino Jutta Kapfer Remigiusz Pielech Itziar García-Mijangos Viktoria Wagner Salza Palpurina Anne Mimet Vincent Pellissier Corrado Marcenó Arkadiusz Nowak Ariel Bergamini Steffen Boch Anna Mária Csergő John-Arvid Grytnes Juan Antonio Campos Brigitta Erschbamer Borja Jiménez-Alfaro Zygmunt Kącki Anna Kuzemko Michael Manthey Koenraad Van Meerbeek Grzegorz Swacha Elias Afif Juha M. Alatalo M Aleffi Manuel Babbi Zoltán Bátori Elena Belonovskaya Christian Berg Kuber Prasad Bhatta Laura Cancellieri Tobias Ceulemans Balázs Deák László Demeter Lei Deng Jiří Doležal Christian Dolnik Wenche Dramstad Pavel Dřevojan Klaus Ecker Franz Essl J. Etzold Goffredo Filibeck Wendy Fjellstad Behlul Güler Michal Hájek Daniel Hepenstrick John G. Hodgson João Honrado Annika Jagerbrand Monika Janišová Philippe Jeanneret András Kelemen Philipp Kirschner Ewelina Klichowska Ganna Kolomiiets Łukasz Kozub Jan Lepš Regina Lindborg Swantje Löbel Angela Lomba Martin Magnes Helmut Mayrhofer Marek Malicki Ermin Mašić Eliane S. Meier Denis Mirin Ulf Molau Ivan Y. Moysiyenko Alireza Naqinezhad Josep M. Ninot M Nobis Christian Pedersen Aaron Pérez-Haase Jan Peters Eulàlia Pladevall-Izard Jan Rolecek Vladimir Ronkin Galina Savchenko Dariia Shyriaieva Hanne Sickel Carly Stevens Sebastian Świerszcz Csaba Tölgyesi Nadezda Tsarevskaya Orsolya Valkó Carmen Van Mechelen Iuliia Vashenyak Ole Reidar Vetaas Denys Vynokurov Emelie Waldén Stefan Widmer Sebastian Wolfrum Anna Wróbel Ekaterina Zlotnikova Jürgen DenglerSammendrag
Abstract: GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). Following a previous Long Database Report (Dengler et al. 2018, Phyto-coenologia 48, 331–347), we provide here the first update on content and functionality of GrassPlot. The current version (GrassPlot v. 2.00) contains a total of 190,673 plots of different grain sizes across 28,171 independent plots, with 4,654 nested-plot series including at least four grain sizes. The database has improved its content as well as its functionality, including addition and harmonization of header data (land use, information on nestedness, structure and ecology) and preparation of species composition data. Currently, GrassPlot data are intensively used for broad-scale analyses of different aspects of alpha and beta diversity in grassland ecosystems.
Sammendrag
No abstract has been registered
Sammendrag
No abstract has been registered
Forfattere
Christian PedersenSammendrag
No abstract has been registered