Linda Aune-Lundberg

Forsker

(+47) 995 78 533
linda.aune-lundberg@nibio.no

Sted
Holt

Besøksadresse
Holtveien 66, 9269 Tromsø

Sammendrag

Detailed descriptions of individual vegetation types shown on vegetation maps can improve the ways in which the composition and spatial structure within the types are understood. The authors therefore examined dwarf shrub heath, a vegetation type covering large areas and found in many parts of the Norwegian mountains. They used data from point samples obtained in a wall-to-wall area frame survey. The point sampling method provided data that gave a good understanding of the composition and structure of the vegetation type, but also revealed a difference between variation within the vegetation type itself (intra-class variation) and variation resulting from the inclusion of other types of vegetation inside the map polygons (landscape variation). Intra-class variation reflected differences in the botanical composition of the vegetation type itself, whereas landscape variation represented differences in the land-cover composition of the broader landscape in which the vegetation type was found. Both types of variation were related to environmental gradients. The authors conclude that integrated point sampling method is an efficient way to achieve increased understanding of the content of a vegetation map and can be implemented as a supporting activity during a survey.

Sammendrag

Per 1. januar 2016 bodde 81 % av Norges befolkning i et tettsted, og mange av tettstedene vokser. Veksten er størst i de største byene, som Oslo, Bergen, Stavanger/Sandnes, Trondheim og Drammen. Denne veksten går på bekostning av ulike arealtyper, deriblant jordbruksareal, og det er ikke noe som tyder på at denne utviklingen vil snu. Analysene som presenteres her viser at en betydelig andel av jordbruksarealene i Norge ligger helt i nærheten av tettstedene.

Sammendrag

81 prosent av Norges befolkning, det vil si omlag 4 230 000 mennesker, bor i en av landets 990 tettsteder. Gjennomsnittlig er 80 prosent av tettstedenes areal brukt til bebyggelse. Inneklemt mellom bebyggelse og infrastruktur finnes imidlertid også om lag 98 km2, eller 98 000 dekar, jordbruksareal.

Sammendrag

Vi mangler informasjon om eierskap for mer enn 30.000 eiendomsteiger, de fleste i utmark. Skal utmarksressursene utnyttes bedre, må eierforholdene dokumenteres.

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Sammendrag

I denne rapporten er snaumark, myr, uproduktiv skog, vann og breer omtalt som utmark. Disse arealene, som totalt dekker drøyt 72 prosent av landarealet i Norge, utgjør en betydelig ressurs. Bruksområdene for disse arealene er mange, og eiendomsforhold er viktige rammebetingelser rundt verdiproduksjonen. Kunnskapen om eiendommer med mye utmarksareal er derimot mangelfull. Det foreligger ingen systematisk oversikt som knytter dette ressursgrunnlaget til eiendomsenheter. Hvordan disse eiendommene er organisert og hvilke ressurser de forvalter har vi også liten kunnskap om. Fra 2009 har derfor Statistisk sentralbyrå og Norsk institutt for skog og landskap arbeidet med å utvikle et grunnlag for statistikk rundt eiendommer med utmarksareal. Dette er gjort på oppdrag fra Landbruks- og matdepartementet....

Sammendrag

The objective of this paper is to examine a method for estimation of land cover statistics for local environments from available area frame surveys of larger, surrounding areas. The method is a simple version of the small-area estimation methodology. The starting point is a national area frame survey of land cover. This survey is post-stratified using a coarse land cover map based on topographic maps and segmentation of satellite images. The approach is to describe the land cover composition of each stratum and subsequently use the results to calculate land cover statistics for a smaller area where the relative distribution of the strata is known. The method was applied to a mountain environment in Gausdal in Eastern Norway and the result was compared to reference data from a complete in situ land cover map of the study area. The overall correlation (Pearson’s rho) between the observed and the estimated land cover figures was r = 0.95. The method does not produce a map of the target area and the estimation error was large for a few of the land cover classes. The overall conclusion is, however, that the method is applicable when the objective is to produce land cover statistics and the interest is the general composition of land cover classes – not the precise estimate of each class. The method will be applied in outfield pasture management in Norway, where it offers a cost-efficient way to screen the management units and identify local areas with a land cover composition suitable for grazing. The limited resources available for in situ land cover mapping can then be allocated efficiently to in-depth studies of the areas with the highest grazing potential. It is also expected that the method can be used to compile land cover statistics for other purposes as well, provided that the motivation is to describe the overall land cover composition and not to provide exact estimates for the individual land cover classes.

Sammendrag

AR-FJELL is the Norwegian land resource database for the mountain areas. AR-FJELL is not distributed as a separate product from Skog og landskap, but does – together with topographic data (series N50) from the Norwegian Mapping Authority (Statens kartverk) form the basis for the classification of mountain areas in the national land resource maps AR50 and AR250. The five Norwegian AR-FJELL classes are documented through descriptive statistical “profiles” of the actual content of each class. Profiles of the AR-FJELL classes were obtained through a GIS overlay operation between AR-FJELL and the available AR18X18 (Land resource accounting for the Norwegian outfields) survey plots. The distribution of vegetation classes for each AR-FJELL class was compiled from this overlay. The report also consider the distribution of the AR-FJELL classes by elevation asl and the distribution of the vegetation types in the AR18X18 sample. AR18X18 is (2011) only available for parts of Norway. The study should be repeated when a full national coverage is available. This is expected in 2015. The study was carried out with funding from the Norwegian Space Centre.

Sammendrag

The Norwegian CORINE land cover (CLC2000) was completed autumn 2008. The CLC map was generated automatically from a number of dataset using GIS-techniques for map generalisation. The CLC map has a coarse resolution and it is also using a classification system developed in an environment very different from the Nordic. It is therefore interesting to evaluate both content and correctness of CLC. This study shows that there is a good resemblance between the CLC classes and detailed, large scale maps. The diversity in classes on the other hand, is lost due to the CLC classification system.

Sammendrag

CORINE Land Cover (CLC) is a seamless European land cover vector database. The Norwegian CLC for the reference year 2006 (CLC2006) was completed by the Norwegian Forest and Landscape Institute (Skog og landskap) in 2009 and was produced according to CLC2006 technical guidelines (EEA 2007). CLC has a common nomenclature with 44 classes that is used throughout Europe. 31 of these classes are found in the Norwegian dataset. A coordinating Technical Team from the European Topic Centre on Land Use and Spatial Information (ETC-LUSI) is coordinating the mapping efforts ensuring that the classification is applied in a similar fashion in each country....

Sammendrag

All the Norwegian CLC2006 classes are documented through descriptive statistical “profiles” of the actual contents in each class. The CLC2006 profiles are worked through based on an overlay operation between CLC2006 and AR5 (under the timberline) and AR50 (above the timberline). Based on this dataset statistics are generated, that shows the percent distribution of AR5 and AR50 classes in each CLC2006 class. The study was carried out with funding from the Norwegian Space Centre.