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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.

1993

Sammendrag

Overvåking av skogens helsetilstand har sin bakgrunn i bekymring for luftforurensningers skadelige virkning på skog. For sjette år på rad er trærs vitalitet registrert på de fylkesvise lokale overvåkingsflater. Disse er fordelt over hele landet, og består hovedsakelig av gran. Totalt er i år 755 flater registrert, og tilsammen 42480 trær har inngått i beregningene. Siste år har kronetettheten gått noe ned, mens det har blitt færre misfargede trær. For perioden 1988-93 som helhet viser registreringene en nedgang i trærnes vitalitet. Eldre gran på Sørøst-landet, har hatt den tydeligste nedgangen i perioden, når en ser de registrerte parametrene samlet. Trøndelag og Nordvest-landet skiller seg også noe ut ved nedgang i vitalitet, mens gran på Sørvest-landet og furu på Sørøst-landet har den beste tilstand og utvikling. Kontroll-registrering på 48 flater gav tilfredsstillende resultater for kronetetthet. For kronefarge viste kontrollen liten overensstemmelse på flere flater.

Til dokument

Sammendrag

Denne rapporten omfatter tre selvstendige prosjekter som er gjennomført ved Norsk institutt for skogforskning (NISK), Seksjon driftsteknikk i 1991 og 1992. Prosjektene inngår i forskningsprogrammet `Skogøkologi og flersidig skogbruk`. I sammenheng med feltarbeidene vil vi takke Oslo kommune skogvesenet for disponering av forsøksarealer for `Mekaniserte lukkete hogster`, skogbrukssjefen i Ulvik, Granvin & Voss, Anders Gjøstein for tilrettelegging av felt for `Sporskadeforsøk på bæresvak mark med høyt vanninnhold`. Skogbrukssjefen i Trondheimsdistriktet, Kjell Nygård og skogforvalter i Trysil Skogforvaltning, Ivar Haraldseid har bistått med forsøksfelter i sammenheng med `Markberedning i skjermstilling`. Teknisk assistanse i Oslomarka ble gitt av Magnus Gartland, NISK-Ås og på Voss av Hans Nyeggen og Steve Smith fra NISK-Bergen. Rapporten er utarbeidet i samråd med programkoordinator Knut Solbraa og prosjektansvarlig Øystein Dale, og redigert av Hans E. Aamodt.

Sammendrag

4 site quality classification methods have been tested in young forest stands; height-age-, intercept-, vegetation- and subjective site quality classification. Two functions are applied for intercept site quality classification. One function where the site quality is based on the intercept (5 years height increment above 2.5 meter off the ground) and the tree species (intercept). And one function where also different characteristics of the growing place are included (extended intercept). Also for site quality classification by means of vegetation two different functions are applied; one which is based on vegetation type and on other characteristics of the growing place (vegetation), and one which in addition use the breast height age to explain the site quality (vegetation with age) (see also Appendix 1). The registrations are carried out on systematically distributed sample plots in 45 stands. The data are described in Table 1, 2 and 3. Table 4 shows that intercept gives significantly higher site quality than extended intercept. The mean difference for all plots is 0.5 meter. It has not been possible to point out any obvious reasons for this difference. Table 5 shows that vegetation with age gives significantly higher site quality than vegetation. The mean difference for all plots is 3.5 meter. The introduction of age as an independent variable has clearly made the site quality higher. Table 6 shows that 100 m2 sample plots give significantly higher site quality than 10 m2 sample plots both for height age and for intercept. The mean differences for all plots are 1.0 meter and 0.7 meter for the two methods. 100 m2 sample plots is recommended in practical inventories. Table 7 shows generally small differences between height-age and intercept. For the best site qualities, however, height-age gives the highest values, while intercept gives highest values for the poorest site qualities. A test, where plots with young trees (T1.3 15 years) have been excluded, does not change the relative relations between the two methods. For both methods there is a certain possibility for an overestimation of the site quality if the soil depth is tiny. Table 7 also shows that vegetation with age gives a significantly higher site quality than height-age for 2 out of 3 sites, and both for spruce and pine. The mean difference for all plots is 1.2 meter. The introduction of age as an independent variable has made the site quality higher. It might be questioned whether it has made the site quality too high. It is not possible based on the present data material, however, to give any appropriate answer to this question. Table 7 further shows that subjective site quality classification gives significantly lower values than height-age, intercept and vegetation with age. Several possible reasons for the differences are pointed out. It is also quite likely to perform person-dependent systematic errors when subjective classification methods are applied. The results of this study basically point out two possible correct site quality levels in young forest stands. One possibility is that the methods height-age, intercept and vegetation with age all give an approximately correct level. The other possibility is that vegetation (without age) and subjective site quality classification give an approximately correct level. According to the discussion it is quite possible that the correct level is somewhat lower than the level indicated by height-age, vegetation with age and intercept. It is, however, less likely that the level is as low as vegetation (without age) and subjective site quality classification are indicating. Subjective site quality classification has so fare been recommended for young forest stands. This method has also been applied for practical inventories. We know that person-dependent systematic errors are usual when subjective classification methods are applied. Because of this, and based on the results of this study, it is quite likely that site quality classification in young forest stands will be done more accurate if some of the three other methods were applied.