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.
2019
Authors
Gry AlfredsenAbstract
No abstract has been registered
Authors
Knut ØistadAbstract
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Authors
Bjørn Hallvard Samset Camilla Weum Stjern Marianne Tronstad Lund Christian Wilhelm Mohr Maria Sand Anne Sophie DalozAbstract
The climate is an aggregate of the mean and variability of a range of meteorological variables, notably temperature (T) and precipitation (P). While the impacts of an increase in global mean surface temperature (GMST) are commonly quantified through changes in regional means and extreme value distributions, a concurrent shift in the shapes of the distributions of daily T and P is arguably equally important. Here, we employ a 30‐member ensemble of coupled climate model simulations (CESM1 LENS) to consistently quantify the changes of regionally and seasonally resolved probability density functions of daily T and P as function of GMST. Focusing on aggregate regions covering both populated and rural zones, we identify large regional and seasonal diversity in the probability density functions and quantify where CESM1 projects the most noticeable changes compared to the preindustrial era. As global temperature increases, Europe and the United States are projected to see a rapid reduction in wintertime cold days, and East Asia to experience a strong increase in intense summertime precipitation. Southern Africa may see a shift to a more intrinsically variable climate but with little change in mean properties. The sensitivities of Arctic and African intrinsic variability to GMST are found to be particularly high. Our results highlight the need to further quantify future changes to daily temperature and precipitation distributions as an integral part of preparing for the societal and ecological impacts of climate change and show how large ensemble simulations can be a useful tool for such research.
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No abstract has been registered
Authors
Rasmus Astrup Johannes Rahlf Knut Bjørkelo Misganu Debella-Gilo Arnt Kristian Gjertsen Johannes BreidenbachAbstract
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.
Abstract
No abstract has been registered
Authors
Nick Hodgetts Marta Cálix Eve Englefield Nicholas Fettes M. García Criado Lea Patin Ana Nieto Ariel Bergamini Irene Bisang Elvira Baisheva Patrizio Campisi A Cogoni Tomas Hallingbäck Nadya A. Konstantinova Neil Lochhart Marko Sabovljevic Norbert Schnyder Christian Schröck Cecília Sérgio Manuela Sim-Sim Jaroslav Vrba Catarina C. Ferreira Olga M. Afonina T.L. Blockeel Hans Blom Steffen Caspari Rosalina Gabriel Cesar Garcia Ricardo Garilleti J González Mancebo Irina Goldberg Lars Hedenäs David T. Holyoak Vincent Hugonnot Sanna Huttunen Mikhail S. Ignatov Elena A. Ignatova Marta Infante Riikka Juutinen Thomas Kiebacher Heribert Köckinger Jan Kucera Niklas Lönnell Michael Lüth Anabela Martins Oleg Maslovsky Beata Papp Ron Porley Gordon Rothero Lars Söderström Sorin Ştefǎnuţ Kimmo Syrjänen Alain Untereiner Jíri Vána Alain Vanderpoorten Kai Vellak Michele Aleffi J. W. Bates Neil Bell Montserrat Brugués Nils Cronberg Jo Denyer J.G. Duckett Heinjo During Johannes Enroth Vladimir E. Fedosov Kjell Ivar Flatberg Anna Ganeva Piotr Gorski Urban Gunnarsson Kristian Hassel Helena Hespanhol Mark O. Hill Rory Hodd Kristoffer Hylander Nele Ingerpuu Sanna Laaka-Lindberg Francisco Lara Vicente Mazimpaka Anna Mežaka Frank Müller Jose David Orgaz Jairo Patiño Sharon Pilkington Felisa Puche Rosa Maria Ros Fred Rumsey José Gabriel Segarra-Moragues Ana Séneca Adam Stebel Risto Virtanen Henrik Weibull Jo Wilbraham Jan ZarnowiecAbstract
© 2019 IUCN, International Union for Conservation of Nature and Natural Resources. All rights reserved. Licenced to the European Union under conditions.
Authors
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 DenglerAbstract
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.
Authors
Magne SætersdalAbstract
No abstract has been registered