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
Abstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Theo RuissenAbstract
No abstract has been registered
Authors
Randi Seljåsen Hanne L. Kristensen Charlotte Lauridsen Gabriela S Wyss Ursula Kretzschmar Inés Birlouez-Aragone Johannes KahlAbstract
No abstract has been registered
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
No abstract has been registered
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.
Abstract
No abstract has been registered
Authors
Anne-Kristin Løes Margrethe Askegaard Vibeke Langer Kirsi Partanen Sirli Pehme Ilse A. Rasmussen Eva Salomon Peter Sørensen Karin Ullvén Maria WivstadAbstract
No abstract has been registered
Authors
Mohammad Maniruzzaman Mohammad Shahid Ullah Talukder Khan M. Hassanuzzaman Jatish C. Biswas Attila NemesAbstract
No abstract has been registered