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.
2015
Forfattere
Magnus Lund Jarle W. Bjerke Bert G. Drake Ola Engelsen Georg Heinrich Hansen Frans-Jan W. Parmentier Thomas Powell Hanna Marika Silvennoinen Matteo Sottocornola Hans Tømmervik Simon Weldon Daniel RasseSammendrag
Creative Commons Attribution 3.0 license
Sammendrag
Part of the Vega archipelago in north-western Norway is a cultural landscape listed as a UNESCO World Heritage site. Its buffer zone comprises most of the main island of Vega, where agriculture is an important land use. The authors describe interdisciplinary research carried out in the buffer zone. The research revealed the significant role of agriculture for the maintenance of the traditional open coastal landscape. The finding was further underlined by the fact that many visitors to the site never reach the outer archipelago, which is the core of the listed site. Based on interpretations of aerial photographs, land cover maps were produced for three cross-sections in time (1965, 1986, and 2009). A further reclassification of the land cover was performed to capture the change in openness due to change in land cover. Viewshed maps of each building found on the aerial photographs were overlain with the openness classes to capture the visual consequences of the buildings due to changes in land cover. A marked decrease in open land surrounding the buildings was found in the study area, which comprised Holand and Floa-Kjul in Vega Municipality, which in turn comprises the islands of the Vega archipelago. The regrowth of the land seemed to be happening regardless of building category
Forfattere
Lisbeth Schnug Torbjørn Ergon Lena Jakob Janeck J Scott-Fordsmand Erik J. Joner Hans Petter LeinaasSammendrag
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Forfattere
Geir Wæhler GustavsenSammendrag
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Forfattere
Jørgen A.B. Mølmann Anne Linn Hykkerud Gunnar Bengtsson Randi Seljåsen Per Lea Josefine Skaret Tor J. JohansenSammendrag
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Sammendrag
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Sammendrag
The analysis of temporal geospatial data has provided important insights into global vegetation dynamics, particularly the interaction among different variables such as precipitation and vegetation indices. Nevertheless, this analysis is not a straightforward task due to the complex relationships among different systems driving the dynamics of the observed variables. Aiming at automatically extracting information from temporal geospatial data, we propose a new approach to detect stochastic and deterministic patterns embedded into time series and illustrate its effectiveness through an analysis of global geospatial precipitation and vegetation data captured over a 14 year period. By knowing such patterns, we can find similarities in the behavior of different systems even if these systems are characterized by different dynamics. In addition, we developed a novel determinism measure to evaluate the relative contribution of stochastic and deterministic patterns in a time series. Analyses showed that this measure permitted the detection of regions on the global map where the radiation absorbed by the vegetation and the incidence of rain occur with similar patterns of stochasticity. The methods developed in this study are generally applicable to any spatiotemporal data set and may be of particular interest for the analysis of the vast amount of remotely sensed geospatial data currently being collected routinely as part of national and international monitoring programs.
Forfattere
Erik Biørn Hild-Marte BjørnsenSammendrag
Some labour market consequences of transitions in the agriculture sector are examined by combining 20-year unbalanced panel data from Norwegian farm households and logit modeling of transition probabilities. The multi-dimensionality of the problem follows from two decision makers having four possible choices in each period: the farm operator and spouse can be working fully on the farm or having supplementary outside occupation. Transitions are modeled by five logit models. The most flexible model has a high number of parameters. Overall, the results indicate that transitions have mainly been directed towards the state where both partners work off the farm. An increasing livestock reduces the probability of moving to states with substantial off-farm labour participation. Increasing farm size tends to have the opposite effect. Recent on-farm investments come out with ambiguous effects. Having children seems to motivate operators to withdraw from off-farm labour and spouses to stay in or enter off-farm employment.
Sammendrag
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2014
Forfattere
Subal Chandra Kumbhakar Roar Amundsveen Hilde Marit Kvile Gudbrand LienSammendrag
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