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.
2018
Abstract
No abstract has been registered
Authors
Annette Dathe Attila Nemes Matthew Patterson Anna Angyal Julia Szocs Szilvia Kendra Esther Bloem Daniel GimenezAbstract
No abstract has been registered
Authors
Marcin Strozecki Hanna Marika Silvennoinen Pawel Strzelinski Bogdan Heronim ChojnickiAbstract
It is important to quantify carbon decomposition to assess the reforestation impact on the forest floor C stocks. Estimating the loss of C stock in a short-term perspective requires measuring changes in soil respiration. This is not trivial due to the contribution of both soil microbes and vegetation to the measured CO2 flux. However, C stable isotopes can be used to partition the respiration and potentially to assess how much of the recalcitrant C stock in the forest floor is lost. Here, we measured the soil respiration at two forest sites where different regeneration methods were applied, along with an intact forest soil for reference. In so doing, we used a closed dynamic chamber for measuring respiration and the 13C composition of the emitted CO2. The chamber measurements were then supplemented with the soil organic carbon analysis and its δ13C content. The mean δ13C-CO2 estimates for the source of the CO2 were -26.4, -27.9 and -29.5‰, for the forest, unploughed and ploughed, respectively. The 13C of the soil organic carbon did, not differ significantly between sites. The higher soil respiration rate at the forest, as compared to the unploughed site, could be attributed to the autotrophic respiration by the forest floor vegetation.
Authors
Kjersti Holt HanssenAbstract
No abstract has been registered
Authors
Habtamu AlemAbstract
In this article, we estimate the progress of Total Factor Productivity (TFP) in the Norwegian grain production sector. Previous studies conducted in TFP estimation can be criticized for estimated production function relied on the assumption that the underlying technology is the same for all regions and firms face similar environmental conditions. In reality, agricultural firms in different regions resource endowment, adoption of new technology, and innovation might be different because of farmers face different production opportunities. For this study, we classified the country into two main grain producing regions with district level of development, and hence production technologies. We used farm level balanced panel data for 19 years (1996-2014) with 1463 observations from farms specialized in grain production. We applied the ‘true' fixed effect stochastic frontier model to estimate region level efficiency and source of productivity changes. The result of the analysis shows that there has been a productivity improvement in the sector, and technical change has had the main source of productivity change.
Authors
Habtamu AlemAbstract
No abstract has been registered
Authors
Ole Martin Eklo Jens Kværner Eivind Solbakken Marianne Stenrød Roar Lågbu Randi Bolli Marit Almvik Sven R. Odenmarck Ivar Solberg Stein SorknesAbstract
No abstract has been registered
Authors
Helen French Esther Bloem Annette Dathe Attila Nemes Matthew Patterson Perrine Marguerite Fernandez Daniel GiminezAbstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
No abstract has been registered