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.
2016
Sammendrag
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Sammendrag
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Sammendrag
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Forfattere
Elena Iordanova Vanguelova Eleonora Bonifacio Bruno de Vos Marcel R. Hoosbeek Torsten W. Berger Lars Vesterdal Kȩstutis E. Armolaitis Luisella Celi Lucian Constantin Dincǎ O. Janne Kjønaas Pavel Pavlenda Jukka Pumpanen Ülle Püttsepp Brian Reidy Primož Simončič Brian Tobin Miglena ZhiyanskiSammendrag
Spatially explicit knowledge of recent and past soil organic carbon (SOC) stocks in forests will improve our understanding of the effect of human- and non-human-induced changes on forest C fluxes. For SOC accounting, a minimum detectable difference must be defined in order to adequately determine temporal changes and spatial differences in SOC. This requires sufficiently detailed data to predict SOC stocks at appropriate scales within the required accuracy so that only significant changes are accounted for. When designing sampling campaigns, taking into account factors influencing SOC spatial and temporal distribution (such as soil type, topography, climate and vegetation) are needed to optimise sampling depths and numbers of samples, thereby ensuring that samples accurately reflect the distribution of SOC at a site. Furthermore, the appropriate scales related to the research question need to be defined: profile, plot, forests, catchment, national or wider. Scaling up SOC stocks from point sample to landscape unit is challenging, and thus requires reliable baseline data. Knowledge of the associated uncertainties related to SOC measures at each particular scale and how to reduce them is crucial for assessing SOC stocks with the highest possible accuracy at each scale. This review identifies where potential sources of errors and uncertainties related to forest SOC stock estimation occur at five different scales—sample, profile, plot, landscape/regional and European. Recommendations are also provided on how to reduce forest SOC uncertainties and increase efficiency of SOC assessment at each scale.
Forfattere
Elena I. Vanguelova Eleonora Bonifacio Bruno De Vos Marcel R. Hoosbeek Torsten W. Berger Lars Vesterdal Ketutis Armolaitis L. Celi Lucian Dinca O. Janne Kjønaas Pavel Pavlenda Jukka Pumpanen Ülle Püttsepp Brian Reidy Primož Simončič Brian Tobin Miglena ZhiyanskiSammendrag
Det er ikke registrert sammendrag
Sammendrag
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Forfattere
Gunnhild SøgaardSammendrag
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Forfattere
Gunnhild SøgaardSammendrag
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Forfattere
Gunnhild SøgaardSammendrag
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Forfattere
Gunnhild SøgaardSammendrag
Det er ikke registrert sammendrag