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Publikasjoner

NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2005

Sammendrag

Det er ikke registrert sammendrag

Sammendrag

Det er ikke registrert sammendrag

Sammendrag

To obtain a general picture of the herbage zinc, iron and manganese concentrations and their relation to dietary requirements of ruminants on organic farms, we analysed soil and herbage samples from four regions in Norway. The soil median Zn, Fe and Mn concentrations were 0.18, 13 and 0.84 mg/L, respectively. The herbage median (10th-90th percentile) Zn, Fe and Mn concentrations (mg/kg) in herbage in the first cut were 19 (14-34), 50 (36-88), 34 (22-86) and in the second cut 21 (16-37), 84 (52-171) and 66 (

Sammendrag

Herbage selenium ( Se) concentration is generally low in Norway. It is unknown whether feeding practices on Norwegian organic farms fulfil the dietary needs of Se and vitamin E for sheep and dairy cattle. Therefore we analysed Se in soil and herbage, and Se and vitamin E in animal blood in the indoor feeding season at 14 organic dairy and 14 organic sheep farms. The herbage Se concentration was low. Approximately 50 and 35% of all samples in the first and second cut, respectively, had Se concentrations belo

Sammendrag

To evaluate the animal nutritional status of copper, molybdenum and cobalt on Norwegian organic farms, soil, herbage and animal blood samples were collected from 27 dairy and sheep farms and analysed for Cu, Mo and Co. The herbage median (10th - 90th percentile) Cu,Mo, and Co concentrations (mg/kg DM) and the Cu: Mo ratio in the first cut were 5.3 (3.9 - 6.8), 1.5 (0.6 - 4.8),

Sammendrag

The evaluation of water bodies "at risk" of not achieving the Water Framework Directive"s (WFD) goal of "good status" begs the question of how big a risk is acceptable before a programme of measures should be implemented. Documentation of expert judgement and statistical uncertainty in pollution budgets and water quality modelling combined with Monte Carlo simulation and Bayesian belief networks, make it possible to give a probabilistic interpretation of "at risk". Combined with information on abatement costs, a cost-effective ranking of measures based on expected costs and effect can be undertaken. Combined with economic valuation of water quality, the definition of "disproportionate cost" of abatement measures compared to benefits of achieving "good status" can also be given a probabilistic interpretation. Explicit modelling of uncertainty helps visualize where research and consulting efforts are most critical for reducing uncertainty. Based on data from the Morsa catchment in South-Eastern Norway, the paper discusses the relative merits of using Bayesian belief networks when integrating biophysical modelling results in the benefit-cost analysis of derogations and cost-effectiveness ranking of abatement measures under the WFD. Keywords: Benefit-cost analysis; Disproportionate costs; Eutrophication; Programme of measures.