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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.

2012

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Sammendrag

Estimates of growing stock in European countries vary mainly by using different thresholds for dbh of sample trees, as well as by the inclusion or exclusion of stump and stem top volume. European national forest inventories use dbh thresholds ranging from 0 to 12 cm in estimating the volume of growing stock. COST Action E43 has agreed to a reference definition for growing stock with a dbh threshold of 0 cm. With use of national volume distributions by dbh classes, models for estimating the proportions of growing stock between the national threshold and the 0-cm threshold were constructed. Models for characterizing growing stock distributions were tested, and their predictive abilities were investigated. Similar comparisons were made with respect to the volume of stumps and stem tops. Examples of estimation methods and the resulting percentages of these tree elements of total growing stock are presented.

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In this paper two sampling and estimation strategies for regional forestinventory were investigated in detail and results were presented for various geographical scales. Airbornelaser scanner (ALS) data were acquired to augment data from a systematic sample of NationalForestInventory (NFI) ground plots in HedmarkCounty, Norway (27,390 km2). Approximately 50% of the NFI fieldplots were covered by the systematic ALS sample of 53 parallel flight lines spaced 6 km apart. The area was stratified into eight cover classes and independent log-transformed regression models were developed for each class to predict total above-ground dry biomass (AGB). The two laser-ground estimation strategies tested were a model-dependent (MD), two-phase approach that rests on the assumption that the predictive models are correctly specified, and a model-assisted (MA) approach with a two-stage probability sampling design which utilizes design-unbiased estimators. ALS AGB estimates were reported by land cover class and compared to the NFI ground estimates. The ALS-based MA and MD mean estimates differed from the NFI AGB estimates by about 2% and 8%, respectively, for the entire County. At the county level the smallest estimated standard error (SE) for the estimates was obtained using the field data alone. However, the SEs calculated from field and ALS data were based on unequal numbers of ground plots. When considering only the NFI plots in the ALS strips, the smallest SEs were obtained using the MD framework. However, we also illustrated the sensitivity of the estimates of applying different plausible models. All the applied estimators assumed simple random sampling while the selection of flight lines as well as ground plots followed a systematic design. Thus, the estimates of SE were most likely conservative. Simulated sampling undertaken in a parallel research effort suggests that the overestimation of the SEs was probably much larger for the ALS-based estimates compared to the NFI estimates. ALS-based estimates were also derived for sub-county political units and thereby demonstrated how limited sample sizes affect the standard error of the biomass estimates.

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Rapporten presenterer resultater fra forprosjektet VRI Matopplevelser på Helgeland, 2011. Prosjektet har som mål å bidra til at turister og andre spisegjester får bedre tilgang til «smaken av Helgeland» gjennom å motivere lokale serveringssteder til økt fokus på nord-norske råvarer og matretter med lokal historie. Rapporten presenterer resultater fra en kartlegging av åtte bedrifter i nettverket Et himmelsk sidesprang på Helgeland (EHS), med hensikt å avdekke muligheter og begrensninger for servering av nord-norsk mat, samt bidra til videreutvikling og styrking av nettverket. Resultatene viser at hver bedrift har sine unike fordeler i forhold til historie, kompetanse, beliggenhet og andre ressurser. Dette er fordeler som hver og en bør pleie og videreutvikle for å dyrke sitt særpreg slik at besøkende får tilbud om en unik matopplevelse med utgangspunkt i lokale råvarer, lokal historie og lokale kjennetegn. Prosjektet har også avdekket utfordringer knyttet til tilgang til lokale råvarer, bærekraftig bruk av entreprenøren, samarbeidsformer/nettverksledelse m.m.

Sammendrag

Et økologisk måltid av vekster fra naturen i nærområdet og økologisk produserte grønnsaker. Del av undervisningsopplegg vg3, Økologisk Landbruk