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.
2022
Authors
Pia C. Kristiansen Julie B. Myrås Thea T. Nørvåg Marit I. Kvernmoen Benedicte S. Nilssen Sebastian Eiter Wendy FjellstadAbstract
Participation in Linderud neighbourhood and community garden in Oslo is mostly motivated by social aspects and by the desire to grow organic food.
Authors
Yujie Qi WenstøpAbstract
No abstract has been registered
Authors
Lars Aksel OpsahlAbstract
When you care about data integrity of spatial data you need to know about the limitations/weaknesses of using simple feature datatype in your database. For instance https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 contains 2,377,772 simple features among which we find 852 overlaps and 1420 invalid polygons. For this test I used “ESRI FGDB” file and gdal for import to postgis. We find such minor overlaps and gaps quite often, which might not be visible for the human eye. The problem here is that it covers up for real errors and makes difficult to enforce database integrity constraints for this. Close parallel lines also seems to cause Topology Exception in many spatial libraries. A core problem with simple features is that they don't contain information about the relation they have with neighbor features, so integrity of such relations is hard to constraint. Another problem is mixing of old and new data in the payload from the client. This makes it hard and expensive to create clients, because you will need a full stack of spatial libraries and maybe a complete locked exact snapshot of your database on the client side. Another thing is that a common line may differ from client to client depending on spatial lib, snapTo usage, tolerance values and transport formats. In 2022 many system are depending on live updates also for spatial data. So it’s big advantage to be able to provide a simple and “secure” API’s with fast server side integrity constraints checks that can be used from a standard web browser. When we have this checks on server side we will secure the equal rules across different clients. Is there alternatives that can secure data integrity in a better way? Yes, for instance Postgis Topology. The big difference is that Postgis Topology has more open structure that is realized by using standard database relational features. This lower the complexity of the client and secures data integrity. In the talk “Use Postgis Topology to secure data integrity, simple API and clean up messy simple feature datasets.” we will dive more into the details off Postgis Topology Building an API for clients may be possible using simple features, but it would require expensive computations to ensure topological integrity but to solve problem with mixing of new and old borders parts can not be solved without breaking the polygon up into logical parts. Another thing is attribute handling, like if you place surface partly overlapping with another surface should that have an influence on the attributes on the new surface. We need to focus more on data integrity and the complexity and cost of creating clients when using simple feature, because the demands for spatial data updated in real time from many different clients in a secure and consistent way will increase. This will be main focus in this talk. https://www.slideshare.net/laopsahl/dataintegrityriskswhenusingsimplefeaturepdf
Authors
Alexandra Kruse Hans Renes Goran Andlar Csaba Centeri Sebastian Eiter Viviana Ferrario Della Hooke Zdenek Kucera Oskar Puschmann Maurizia Sigura Martina Slámová Mateja Šmid Hribar Jana Spulerova Filip Srajer Dagmar Štefunková Mimi Urbanc Bénédicte GaillardAbstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Linn Borgen NilsenAbstract
No abstract has been registered
Authors
Linn Borgen NilsenAbstract
Plant genetic resources form the biological basis for all plant-based agricultural production. In the genetic diversity lie opportunities to adjust, improve and adapt the crop production to current or future needs. In addition, the diversity of species and varieties in Norwegian agriculture represents an important part of our cultural heritage. Conservation and sustainable use of plant genetic resources is a global concern and FAO has established a global action plan that highlights priorities for conservation and use of plant genetic diversity at national level. This report points to results, trends and challenges within this field in Norway and is the Norwegian contribution to the FAO report "Third State of the World's Plant Genetic Resources" (expected 2023).
Abstract
Commissioned by the Norwegian Environment Agency, this report presents methodologies for estimating annual numbers of animals and enteric methane emissions for pigs. The methodologies are designed for the Norwegian national inventory of GHG emissions (NIR) and are dynamic, reflecting the effects of progress in genetics and management of the pork production. The data sources for the proposed methodologies are the register for deliveries of carcasses to Norwegian slaughterhouses available from Statistics Norway, and the Norwegian litter recording system (Ingris) of the Norwegian meat and poultry research centre (Animalia).
Authors
Stine Samsonstuen Helge Bonesmo Bente Aspeholen Åby Eli Gjerlaug-Enger Erland Kjesbu Magne Bergfjord Rune Okstad Svein Skøien Tony BarmanAbstract
Through the joint project Climate Smart Agriculture, the agricultural sector in Norway have successfully implemented the whole-farm models HolosNor models as farm advisory tools for milk, beef, pig, sheep, poultry, and crop production. The HolosNor modes are empirical models based on the methodology of the Intergovernmental Panel on Climate Change with modifications to Norwegian conditions. The models estimate direct emissions of methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2) from on-farm livestock production and includes indirect emissions of N2O and CO2 associated with inputs used on the farm in addition to including soil carbon balance through the ICBM model. The digital GHG Calculator automatically collects data from sources the farmer already uses for farm management, such as herd recording systems, manure planning systems, farm accounts, concentrate invoice, dairy, slaughterhouse, in addition to site-specific soil and weather data. Based on the collected data, both total emissions from the production and emission intensities for the different products are estimated. The emission intensities are shown by source relative to a reference group consisting of farms with the same type of production and production volume. Using the GHG Calculator, the farmers have the unique opportunity to have tailor-made mitigation plans to reduce emissions from the farm trough certified climate advisors. Participation and results from the GHG Calculator will be presented in addition to experiences from implementation of a GHG model as a farm advisory tool for commercial farms.
Abstract
Sustainable water resources management roots in monitoring data reliability and a full engagement of all institutions involved in the water sector. When competences and interests are overlapping, however, coordination may be difficult, thus hampering cooperative actions. This is the case of Santa Cruz Island (Galápagos, Ecuador). A comprehensive assessment on water quality data (physico-chemical parameters, major elements, trace elements and coliforms) collected since 1985 revealed the need of optimizing monitoring efforts to fill knowledge gaps and to better target decision-making processes. A Water Committee (Comité de la gestión del Agua) was established to foster the coordinated action among stakeholders and to pave the way for joint monitoring in the island that can optimize the efforts for water quality assessment and protection. Shared procedures for data collection, sample analysis, evaluation and data assessment by an open-access geodatabase were proposed and implemented for the first time as a prototype in order to improve accountability and outreach towards civil society and water users. The overall results reveal the high potential of a well-structured and effective joint monitoring approach within a complex, multi-stakeholder framework.