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
Franҫois Lefèvre Jarkko Koskela Jason Hubert Hojka Kraigher Roman Longauer Ditte C. Olrik Silvio Schüler Michele Bozzano Paraskevi Alizoti Remigijus Bakys Cathleen Baldwin Dalibor Ballian Sanna Black-Samuelsson Dagmar Bednarova Sándor Bordács Eric Collin Bart De Cuyper Sven M.G. De Vries Thröstur Eysteinsson Josef Frýdl Michaela Haverkamp Mladen Ivankovic Heino Konrad Czeslaw Koziol Tiit Maaten Eduardo Notivol Paino Hikmet Öztürk Ivanova Denitsa Pandeva Gheorghe Parnuta Andrej Pilipovic Dragos Postolache Cathal Ryan Arne Steffenrem Maria Carolina Varela Federico Vessella Roman T. Volosyanchuk Marjana Westergren Frank Wolter Leena Yrjänä Inga ZarinaAbstract
Dynamic conservation of forest genetic resources (FGR) means maintaining the genetic diversity of trees within an evolutionary process and allowing generation turnover in the forest. We assessed the network of forests areas managed for the dynamic conservation of FGR (conservation units) across Europe (33 countries). On the basis of information available in the European Information System on FGR (EUFGIS Portal), species distribution maps, and environmental stratification of the continent, we developed ecogeographic indicators, a marginality index, and demographic indicators to assess and monitor forest conservation efforts. The pan-European network has 1967 conservation units, 2737 populations of target trees, and 86 species of target trees. We detected a poor coincidence between FGR conservation and other biodiversity conservation objectives within this network. We identified 2 complementary strategies: a species-oriented strategy in which national conservation networks are specifically designed for key target species and a site-oriented strategy in which multiple-target units include so-called secondary species conserved within a few sites. The network is highly unbalanced in terms of species representation, and 7 key target species are conserved in 60% of the conservation units. We performed specific gap analyses for 11 tree species, including assessment of ecogeographic, demographic, and genetic criteria. For each species, we identified gaps, particularly in the marginal parts of their distribution range, and found multiple redundant conservation units in other areas. The Mediterranean forests and to a lesser extent the boreal forests are underrepresented. Monitoring the conservation efficiency of each unit remains challenging; however, <2% of the conserved populations seem to be at risk of extinction. On the basis of our results, we recommend combining species-oriented and site-oriented strategies.
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
Authors
Jonathan Lenoir Bente Jessen Graae Per Arild Aarrestad Inger Greve Alsos William Scott Armbruster Gunnar Austrheim Claes Bergendorff Harry John Betteley Birks Kari Anne Bråthen Jörg Brunet Hans Henrik Bruun Carl Johan Dahlberg Guillaume Decocq Martin Diekmann Mats Dynesius Rasmus Ejrnæs John-Arvid Grytnes Kristoffer Hylander Kari Klanderud Miska Luoto Ann Milbau Mari Moora Bettina Nygaard Arvid Odland Virve Ravolainen Stefanie Reinhardt Sylvi Marlen Sandvik Fride Høistad Schei James David Mervyn Speed Unn Tveraabak Vigdis Vandvik Liv Guri Velle Risto Virtanen Martin Zobel Jens-Christian SvenningAbstract
Recent studies from mountainous areas of small spatial extent (<2,500 km2) suggest that fine-grained thermal variability over tens or hundreds of metres exceeds much of the climate warming expected for the coming decades. Such variability in temperature provides buffering to mitigate climate-change impacts. Is this local spatial buffering restricted to topographically complex terrains? To answer this, we here study fine-grained thermal variability across a 2,500-km wide latitudinal gradient in Northern Europe encompassing a large array of topographic complexities. We first combined plant community data, Ellenberg temperature indicator values, locally measured temperatures (LmT), and globally interpolated temperatures (GiT) in a modelling framework to infer biologically relevant temperature conditions from plant assemblages within <1,000-m2 units (community-inferred temperatures: CiT). We then assessed: (1) CiT range (thermal variability) within 1-km2 units; (2) the relationship between CiT range and topographically- and geographically-derived predictors at 1-km resolution; and (3) whether spatial turnover in CiT is greater than spatial turnover in GiT within 100-km2 units. Ellenberg temperature indicator values in combination with plant assemblages explained 46-72% of variation in LmT and 92-96% of variation in GiT during the growing season (June, July, August). Growing-season CiT range within 1-km2 units peaked at 60-65°N and increased with terrain roughness, averaging 1.97°C (SD = 0.84°C) and 2.68°C (SD = 1.26°C) within the flattest and roughest units, respectively. Complex interactions between topography-related variables and latitude explained 35% of variation in growing-season CiT range when accounting for sampling effort and residual spatial autocorrelation. Spatial turnover in growing-season CiT within 100-km2 units was, on average, 1.8 times greater (0.32°C km-1) than spatial turnover in growing-season GiT (0.18°C km-1). We conclude that thermal variability within 1-km2 units strongly increases local spatial buffering of future climate warming across Northern Europe, even in the flattest terrains.
Abstract
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Abstract
No abstract has been registered
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
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.