Aaron Smith

Forsker

(+47) 403 12 478
aaron.smith@nibio.no

Sted
Ås - Bygg H8

Besøksadresse
Høgskoleveien 8, 1433 Ås

Sammendrag

Skog er en viktig del av den globale karbonsyklusen, både som lager og som opptaker av karbon fra atmosfæren. Norge rapporterer årlig utslipp og opptak av klimagasser i skog til FNs klimakonvensjon, samt til Kyotoprotokollen. Skog rapporteres under landsektoren (Land Use, Land-Use Change and Forestry; LULUCF). I 2015 var netto-opptaket i skog 29,0 millioner tonn CO2-ekvivalenter, mens det totale utslippet av klimagasser i Norge i de øvrige sektorene var 53,9 millioner tonn. Netto opptak i skog tilsvarer dermed 54 prosent av klimagassutslippene i de øvrige sektorene.

Sammendrag

I kunstprosjektet Rotvälta rives et stort furutre opp med roten og plasseres opp ned foran fasaden på Oslo S. Gjennom denne dramatiske handlingen blir treet et symbol på vår egen og verdens sårbarhet i dag.

Til dokument

Sammendrag

The accurate characterization of three-dimensional (3D) root architecture, volume, and biomass is important for a wide variety of applications in forest ecology and to better understand tree and soil stability. Technological advancements have led to increasingly more digitized and automated procedures, which have been used to more accurately and quickly describe the 3D structure of root systems. Terrestrial laser scanners (TLS) have successfully been used to describe aboveground structures of individual trees and stand structure, but have only recently been applied to the 3D characterization of whole root systems. In this study, 13 recently harvested Norway spruce root systems were mechanically pulled from the soil, cleaned, and their volumes were measured by displacement. The root systems were suspended, scanned with TLS from three different angles, and the root surfaces from the co-registered point clouds were modeled with the 3D Quantitative Structure Model to determine root architecture and volume. The modeling procedure facilitated the rapid derivation of root volume, diameters, break point diameters, linear root length, cumulative percentages, and root fraction counts. The modeled root systems underestimated root system volume by 4.4%. The modeling procedure is widely applicable and easily adapted to derive other important topological and volumetric root variables.