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.
2021
Authors
Leonor Rodrigues Julia Fohrafellner Brieuc Hardy Bruno Huyghebaert Jens Leifeld Alberto Sanz Cobeña Alice Budai Andis Lazdiņš Arezoo Taghizadeh Axel Don Bartosz Adamczyk Benjamin Gimeno Benjamin Sanchez Bo Stenberg Claudia Di Bene Corina Carranca Dalia Feiziene Daniel Rasse Daria Seitz Dario Fornara Eduardo Aguilera Elena Rodriguez Eloïse Mason Erich Inselsbacher Gabriela Barančíková Grzegorz Siebielec Heide Spiegel Imants Kukuļs Jacek Niedźwiecki Jan P. Lesschen Karin Kauer Kestutis Armolaitis Lilian OSullivan Lenka Pavlu Maarten De Boever Nils Kauer Peter Kuikman Peter Laszlo Raquel Mano Raimonds Kasparinskis Rok Mihelič Sevinc Madenoglu Sophie Cornu Sophie Zechmeister-Boltenstern Stephan Glatzel Sylvain Pellerin Teresa Gómez de la Bárcena Thalisa Slier Thomas Kätterer Martin A. Bolinder Kerstin Berglund Toth Toth GergelyAbstract
Deliverable 2.3. This synthesis identifies the available knowledge of achievable carbon sequestration in mineral soils and GHGs mitigation in organic soils in agricultural land, including pasture/grassland across Europe. The inventory of past and current studies on carbon sequestration and GHGs mitigation measures in agricultural soils and the methodology used for the assessment were considered from 25 Member states (MS) across Europe. The stocktake shows that availability of datasets concerning soil carbon sequestration (SCS) is variable among Europe. While northern Europe and central Europe is relatively well studied, there is a lack of studies comprising parts of Southern, Southeaster and Western Europe. Further, it can be concluded that at present country based knowledge and engagement is still poor; very few countries have an idea on their national-wide achievable carbon sequestration potential. The presented national SCS potentials (MS n=13) do however point towards important contributions to mitigate climate change by covering considerable shares of national greenhouse gas emissions from the agricultural sector in the range of 0.1-27 %, underpinning the importance of further investigations. In contrast to mineral soils, effective mitigation measures for organic soils while maintaining industrial agricultural production are still in its infancy. Very few mitigation options exist to mitigate GHG emissions without compromising agricultural production. Most GHG mitigation practices reported by the MS involve the restoration of organic soils, which means a complete abandonment of land from any agricultural use. Only one contribution (NL) reports possible mitigation potentials, which are based on specific water management measures (water level fixation). Nevertheless, there is an increasing awareness of the need of mitigation measures reflected by the several ongoing research projects on peatland management.
Authors
Nina SvartedalAbstract
No abstract has been registered
Authors
Nina SvartedalAbstract
No abstract has been registered
Authors
Anna Palmé Birgitte Lund Elina Kiviharju Heli Fitzgerald Hjörtur Thorbjörnsson Jenny Hagenblad Jens Weibull Kjersti Bakkebø Fjellstad Kristina Bjureke Linn Borgen Nilsen Magnus Göransson Maija Häggblom Marko Hyvärinen Mora Aronsson Virva LyytikäinenAbstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Jade Phillips Marjana Westergren Danjela Bojkovski Michele Bozzano Magda Bou Dagher Kharrat Kjersti Bakkebø Fjellstad Hojka Kraigher Francois Lefevre Nigel Maxted Silvia Peres-Espona Nina Svartedal Enrico Sturaro J Sustar Vozlic Tor MykingAbstract
No abstract has been registered
Authors
Wendy FjellstadAbstract
No abstract has been registered
Abstract
There are neither volume nor velocity thresholds that define big data. Any data ranging from just beyond the capacity of a single personal computer to tera- and petabytes of data can be considered big data. Although it is common to use High Performance Computers (HPCs) and cloud facilities to compute big data, migrating to such facilities is not always practical due to various reasons, especially for medium/small analysis. Personal computers at public institutions and business companies are often idle during parts of the day and the entire night. Exploiting such computational resources can partly alleviate the need for HPC and cloud services for analysis of big data where HPC and cloud facilities are not immediate options. This is particularly relevant also during testing and pilot application before implementation on HPC or cloud computing. In this paper, we show a real case of using a local network of personal computers using open-source software packages configured for distributed processing to process remotely sensed big data. Sentinel-2 image time series are used for the testing of the distributed system. The normalized difference vegetation index (NDVI) and the monthly median band values are the variables computed to test and evaluate the practicality and efficiency of the distributed cluster. Computational efficiencies of the cluster in relation to different cluster setup, different data sources and different data distribution are tested and evaluated. The results demonstrate that the proposed cluster of local computers is efficient and practical to process remotely sensed data where single personal computers cannot perform the computation. Careful configurations of the computers, the distributed framework and the data are important aspects to be considered in optimizing the efficiency of such a system. If correctly implemented, the solution leads to an efficient use of the computer facilities and allows the processing of big, remote, sensing data without the need to migrate it to larger facilities such as HPC and cloud computing systems, except when going to production and large applications.
Authors
Leonor Rodrigues Brieuc Hardy Bruno Huyghebeart Julia Fohrafellner Dario Fornara Gabriela Barančíková Teresa Gómez de la Bárcena Maarten De Boever Claudia Di Bene Dalia Feiziene Thomas Kätterer Peter Laszlo Lilian O’Sullivan Daria Seitz Jens LeifeldAbstract
No abstract has been registered
Authors
Tor Myking Jade Phillips Enrico Sturaro Kjersti Bakkebø Fjellstad Nina Svartedal Hojka Kraigher Marjana Westergren Nigel Maxted Magda Bou Dagher Kharrat Silvia Perez-EsponaAbstract
No abstract has been registered