Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR

dc.contributor.authorNeigh, C.S.R.
dc.contributor.authorNelson, R.F.
dc.contributor.authorRanson, K.J.
dc.contributor.authorMargolis, H.A
dc.contributor.authorMontesano, P.M.
dc.contributor.authorSun, G.
dc.contributor.authorKharuk, V.
dc.contributor.authorNæsset, E.
dc.contributor.authorWulder, M.A.
dc.contributor.authorAndersen, H.E.
dc.titleTaking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDARen
dcterms.abstractThe boreal forest accounts for one-third of global forests, but remains largely inaccessible to ground-based measurements and monitoring. It contains large quantities of carbon in its vegetation and soils, and research suggests that it will be subject to increasingly severe climate-driven disturbance. We employ a suite of ground-, airborne- and space-based measurement techniques to derive the first satellite LiDAR-based esti- mates of aboveground carbon for the entire circumboreal forest biome. Incorporating these inventory tech- niques with uncertainty analysis, we estimate total aboveground carbon of 38 ± 3.1 Pg. This boreal forest carbon is mostly concentrated from 50 to 55° N in eastern Canada and from 55 to 60° N in eastern Eurasia. Both of these regions are expected to warm N3 °C by 2100, and monitoring the effects of warming on these stocks is important to understanding its future carbon balance. Our maps establish a baseline for future quantification of circumboreal carbon and the described technique should provide a robust method for future monitoring of the spatial and temporal changes of the aboveground carbon content.en
dcterms.accessRightsOpen access
dcterms.bibliographicCitationNeigh, C.S., Nelson, R.F., Ranson, K.J., Margolis, H.A., Montesano, P.M., Sun, G., Kharuk, V., Næsset, E., Wulder, M.A. and Andersen, H.E., 2013. Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR. Remote Sensing of Environment, 137, pp.274-287en
dcterms.typeJournal Article
is.availability.fullTextFull text available
is.contributor.funderTypePublic funds (government, EU funding, public research grants)
is.evaluation.collectionMapping e.g. remote sensing
is.evaluation.dataSourceGeospatial data layers
is.evidenceSubTypeModeling study - future scenario or potential effects
is.evidenceTypeModeling study
is.focus.productsOther forestry and logging
is.focus.sdgSDG 13 - Climate Action
is.focus.sustainIssueClimate change
is.focus.sustainLensRisk mitigation / management
is.focus.sustainOutcomeCarbon sequestration
is.focus.systemElementMandE outcomes and impacts
is.focus.systemElementMandE performance monitoring
is.identifier.schemeTypeVoluntary Sustainability Standards
is.item.reviewStatusPeer reviewed
is.journalNameRemote Sensing of Environment