Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2013
Authors
Kerry O'Donnell Alejandro P. Rooney Robert Proctor Daren W. Brown Susan P. McCormick Todd J. Ward Rasmus J. N. Frandsen Erik Lysøe Stephen A. Rehner Takayuki Aoki Vincent A.R.G Robert Pedro W. Crous Johannes Z. Groenewald Seogchan Kang David M. GeiserAbstract
No abstract has been registered
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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.
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Authors
Berit Nordskog Jan Netland Håvard Eikemo Halvard Hole Tor-Einar Skog Annette Folkedal Schjøll Guro BrodalAbstract
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Authors
Aruppillai Suthaparan Arne Stensvand Knut Asbjørn Solhaug Nils Bjugstad David Gadoury Hans Ragnar GislerødAbstract
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2012
Authors
Christer Magnusson Mariella Couvalot Tyrefjell Hans Nyeggen Karl Thunes Irene Rasmussen Kari-Ann Strandenæs Ingrid Margrete GrøndahlAbstract
No abstract has been registered