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.
2013
Abstract
Det er ikke registrert sammendrag
Authors
Theo RuissenAbstract
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Authors
Randi Seljåsen Hanne L. Kristensen Charlotte Lauridsen Gabriela S Wyss Ursula Kretzschmar Inés Birlouez-Aragone Johannes KahlAbstract
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Authors
Matteo Balderacchi Pierre Benoit Philippe Cambier Ole Martin Eklo Alessandro Gargini Alexandra Gemitzi Melike Gurel Bjørn Kløve Zoran Nakic Elena Preda Stanko Ruzicic Przemyslaw Wachniew Marco TrevisanAbstract
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Authors
Jan Inge Jenssen Erlend NybakkAbstract
Published version of article from the journal: International Journal of Innovation Management
Authors
Ivano Brunner Mark R. Bakker Robert G. Björk Yasuhiro Hirano Martin Lukac Xavier Aranda Isabella Børja Toril Eldhuset Heljä-Sisko Helmisaari Christophe Jourdan Bohdan Konôpka Bernat Claramunt López Carolina Miguel Pérez Hans Persson Ivika OstonenAbstract
Background and Aims: Forest trees directly contribute to carbon cycling in forest soils through the turnover of their fine roots. In this study we aimed to calculate root turnover rates of common European forest tree species and to compare them with most frequently published values. Methods: We compiled available European data and applied various turnover rate calculation methods to the resulting database. We used Decision Matrix and Maximum-Minimum formula as suggested in the literature. Results: Mean turnover rates obtained by the combination of sequential coring and Decision Matrix were 0.86 yr−1 for Fagus sylvatica and 0.88 yr−1 for Picea abies when maximum biomass data were used for the calculation, and 1.11 yr−1 for both species when mean biomass data were used. Using mean biomass rather than maximum resulted in about 30 % higher values of root turnover. Using the Decision Matrix to calculate turnover rate doubled the rates when compared to the Maximum-Minimum formula. The Decision Matrix, however, makes use of more input information than the Maximum-Minimum formula. Conclusions: We propose that calculations using the Decision Matrix with mean biomass give the most reliable estimates of root turnover rates in European forests and should preferentially be used in models and C reporting.
Authors
Jan Karstein Henriksen Arnfinn NesAbstract
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Authors
Jan Karstein Henriksen Arnfinn NesAbstract
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Authors
Jan Karstein Henriksen Arnfinn NesAbstract
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Authors
Marianne Lundervik Bøthun Jan Meland Harald Nornes Mekjell MelandAbstract
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