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.
2021
Authors
Camilo Chiang Marcos Viejo Oda Toresdatter Aas Katharina Hobrak Christian Bianchi Strømme Inger Sundheim Fløistad Jorunn Elisabeth OlsenAbstract
Light and temperature are crucial factors for the annual growth rhythm of tree seedlings of the boreal and temperate zone. Dormant, vegetative winter buds are formed under short days (SD) and altered light quality. In the conifer Norway spruce, expression of FTL2 increases and PaCOL1-2 and PaSOC1 decrease under light regimes, inducing bud set. Although temperature is known to modulate the timing of bud set, information about combined effects of light climate and temperature on bud phenology and gene expression is limited. We studied the interactive effects of temperature (18, 22/24 °C) and day extension with blue (B), red (R) or far-red (FR) light or different R:FR ratios compared to SD on growth–dormancy cycling and expression of FTL2, PaCOL1-2 and PaSOC1 in Norway spruce seedlings. Day-extension with B light and all treatments involving FR light sustained shoot elongation, with increased growth at higher temperature. The R light treatment resulted in delayed/prevented bud set compared to SD, with more delay/prevented bud set at 24 °C than 18 °C. This was associated with lower PaFTL2-transcript levels at 24 °C and more rapid subsequent bud burst. For the growth-sustaining treatments (long days, FR and B light), the PaFTL2-transcript levels were generally lower and those of PaCO1-2 and PaSOC1 higher compared with SD and R light. In conclusion, our results demonstrate more reduced/prevented bud set and faster bud burst with increased temperature under day extension with R light, indicating less deep dormancy than at lower temperature. Also, sustained shoot elongation under the B light treatment (27 µmol m−2 s−1) in contrast to the lower B light-irradiances tested previously (≤13 µmol m−2 s−1), demonstrates an irradiance-dependent effect of day extension with B light.
Authors
Thomas Solvin Kjersti Bakkebø Fjellstad Inger Sundheim Fløistad Gunnar Friis Proschowsky Torben Leisgaard Antti Lännenpää Tiina Ylioja Brynjar Skúlason Hallur S. Björgvinsson Nina Hårdnes Tremoen Ellinor Edvardsson Claes Uggla Espen StokkeAbstract
No abstract has been registered
Abstract
Simple Summary Chronic Wasting Disease is a deadly infectious disease affecting cervids that was discovered in Norway in 2016. CWD can transmit through environmental reservoirs and aggregation and spatial clustering of animals may affect transmission. Deer usually forage on scattered forage, but anthropogenic food sources are often concentrated in space, leading to spatial aggregation. We determined what caused red deer to revisit the same locations in the environment, and the extent to which this was caused by anthropogenic food sources. We document that the most visited sites were indeed anthropogenic, which opens potential avenues to disease mitigation. Abstract Herbivores like cervids usually graze on widely scattered forage, but anthropogenic food sources may cause spatial revisitation and aggregation, posing a risk for transmission of infectious diseases. In 2016, chronic wasting disease (CWD) was first detected in Norway. A legal regulation to ban supplemental feeding of cervids and to fence stored hay bales was implemented to lower aggregation of cervids. Knowledge of further patterns and causes of spatial revisitation can inform disease management. We used a recently developed revisitation analysis on GPS-positions from 13 red deer (Cervus elaphus) to identify the pattern of spatial clustering, and we visited 185 spatial clusters during winter to identify the causes of clustering. Anthropogenic food sources were found in 11.9% of spatial clusters, which represented 31.0% of the clusters in agricultural fields. Dumping of silage and hay bales were the main anthropogenic food sources (apart from agricultural fields), and unfenced hay bales were available despite the regulation. The probability of the clusters being in agricultural fields was high during winter. It may be necessary to find other ways of disposing of silage and enforcing the requirement of fencing around hay bales to ensure compliance, in particular during winters with deep snow.
Abstract
Scots pine exhibits variations in ray anatomy, which are poorly understood. Some ray parenchyma cells develop thick and lignified cell walls before heartwood formation. We hypothesized that some stands and trees show high numbers of lignified and thick-walled parenchyma cells early in the sapwood. Therefore, a microscopic analysis of Scots pine sapwood from four different stands in Northern Europe was performed on Safranin — Astra blue-stained tangential micro sections from outer and inner sapwood areas. Significant differences in lignification and cell wall thickening of ray parenchyma cells were observed in the outer sapwood between all of the stands for the trees analyzed. On a single tree level, the relative lignification and cell wall thickening of ray parenchyma cells ranged from 4.3% to 74.3% in the outer sapwood. In the inner sapwood, lignification and cell wall thickening of ray parenchyma cells were more frequent. In some trees, however, the difference in lignification and cell wall thickening between inner and outer sapwood was small since early lignification, and cell wall thickening was already more common in the outer sapwood. Ray composition and number of rays per area were not significantly different within the studied material. However, only one Scottish tree had a significantly higher number of ray parenchyma cells per ray. The differences discovered in lignification and cell wall thickening in ray parenchyma cells early in the sapwood of Scots pine are relevant for wood utilization in general and impregnation treatments with protection agents in particular.
Authors
Gry Alfredsen Christian Brischke Brendan N. Marais Robert F. A. Stein Katrin Zimmer Miha HumarAbstract
To evaluate the performance of new wood-based products, reference wood species with known performances are included in laboratory and field trials. However, different wood species vary in their durability performance, and there will also be a within-species variation. The primary aim of this paper was to compare the material resistance against decay fungi and moisture performance of three European reference wood species, i.e., Scots pine sapwood (Pinus sylvestris), Norway spruce (Picea abies), and European beech (Fagus sylvatica). Wood material was collected from 43 locations all over Europe and exposed to brown rot (Rhodonia placenta), white rot (Trametes versicolor) or soft rot fungi. In addition, five different moisture performance characteristics were analyzed. The main results were the two factors accounting for the wetting ability (kwa) and the inherent protective properties of wood (kinh), factors for conversion between Norway spruce vs. Scots pine sapwood or European beech for the three decay types and four moisture tests, and material resistance dose (DRd) per wood species. The data illustrate that the differences between the three European reference wood species were minor, both with regard to decay and moisture performance. The results also highlight the importance of defined boundaries for density and annual ring width when comparing materials within and between experiments. It was concluded that with the factors obtained, existing, and future test data, where only one or two of the mentioned reference species were used, can be transferred to models and prediction tools that use another of the reference species
Authors
Raquel Benavides Bárbara Carvalho Cristina C. Bastias David López-Quiroga Antonio Mas Stephen Cavers Alan Gray Audrey Albet Ricardo Alía Olivier Ambrosio Filippos Aravanopoulos Francisco Auñón Camilla Avanzi Evangelia V. Avramidou Francesca Bagnoli Eduardo Ballesteros Evangelos Barbas Catherine Bastien Frédéric Bernier Henry Bignalet Damien Bouic William Brunetto Jurata Buchovska Ana M. Cabanillas-Saldaña Nicolas Cheval José M. Climent Marianne Correard Eva Cremer Darius Danusevičius Benjamin Dauphin Fernando Del Caño Jean-Luc Denou Bernard Dokhelar Rémi Dourthe Anna-Maria Farsakoglou Andreas Fera Patrick Fonti Ioannis Ganopoulos José M. García del Barrio Olivier Gilg Santiago C González-Martínez René Graf Delphine Grivet Felix Gugerli Christoph Hartleitner Katrin Heer Enja Hollenbach Agathe Hurel Bernard Issehuth Florence Jean Veronique Jorge Arnaud Jouineau Jan-Philipp Kappner Katri Kärkkäinen Robert Kesälahti Florian Knutzen Sonja T. Kujala Timo Kumpula Mariaceleste Labriola Celine Lalanne Johannes Lambertz Martin Lascoux Gregoire Le Provost Mirko Liesebach Ermioni Malliarou Jérémy Marchon Nicolas Mariotte Elisabet Martínez-Sancho Silvia Matesanz Helge Meischner Célia Michotey Pascal Milesi Sandro Morganti Tor Myking Anne Eskild Nilsen Eduardo Notivol Lars Opgenoorth Geir Østreng Birte Pakull Andrea Piotti Christophe Plomion Nicolas Poinot Mehdi Pringarbe Luc Puzos Tanja Pyhäjärvi Annie Raffin José A Ramírez-Valiente Christian Rellstab Sebastian Richter Juan J Robledo-Arnuncio Sergio San Segundo Outi Savolainen Volker Schneck Silvio Schueler Ivan Scotti Vladimir Semerikov Jørn Henrik Sønstebø Ilaria Spanu Jean Thevenet Mari Mette Tollefsrud Norbert Turion Giovanni Giuseppe Vendramin Marc Villar Johan Westin Bruno Fady Fernando ValladaresAbstract
Motivation Trait variation within species can reveal plastic and/or genetic responses to environmental gradients, and may indicate where local adaptation has occurred. Here, we present a dataset of rangewide variation in leaf traits from seven of the most ecologically and economically important tree species in Europe. Sample collection and trait assessment are embedded in the GenTree project (EU-Horizon 2020), which aims at characterizing the genetic and phenotypic variability of forest tree species to optimize the management and sustainable use of forest genetic resources. Our dataset captures substantial intra- and interspecific leaf phenotypic variability, and provides valuable information for studying the relationship between ecosystem functioning and trait variability of individuals, and the response and resilience of species to environmental changes. Main types of variable contained We chose morphological and chemical characters linked to trade-offs between acquisition and conservation of resources and water use, namely specific leaf area, leaf size, carbon and nitrogen content and their ratio, and the isotopic signature of stable isotope 13C and 15N in leaves. Spatial location and grain We surveyed between 18 and 22 populations per species, 141 in total, across Europe. Time period Leaf sampling took place between 2016 and 2017. Major taxa and level of measurement We sampled at least 25 individuals in each population, 3,569 trees in total, and measured traits in 35,755 leaves from seven European tree species, i.e. the conifers Picea abies, Pinus pinaster and Pinus sylvestris, and the broadleaves Betula pendula, Fagus sylvatica, Populus nigra and Quercus petraea. Software format The data files are in ASCII text, tab delimited, not compressed.
Authors
Lars Opgenoorth Benjamin Dauphin Raquel Benavides Katrin Heer Paraskevi Alizoti Elisabet Martínez-Sancho Ricardo Alía Olivier Ambrosio Albet Audrey Francisco Auñón Camilla Avanzi Evangelia Avramidou Francesca Bagnoli Evangelos Barbas Cristina C Bastias Catherine Bastien Eduardo Ballesteros Giorgia Beffa Frédéric Bernier Henri Bignalet Guillaume Bodineau Damien Bouic Sabine Brodbeck William Brunetto Jurata Buchovska Melanie Buy Ana M Cabanillas-Saldaña Bárbara Carvalho Nicolas Cheval José M Climent Marianne Correard Eva Cremer Darius Danusevičius Fernando Del Caño Jean-Luc Denou Nicolas Di Gerardi Bernard Dokhelar Alexis Ducousso Anne Eskild Nilsen Anna-Maria Farsakoglou Patrick Fonti Ioannis Ganopoulos José M. García del Barrio Olivier Gilg Santiago C González-Martínez René Graf Alan Gray Delphine Grivet Felix Gugerli Christoph Hartleitner Enja Hollenbach Agathe Hurel Bernard Issehut Florence Jean Veronique Jorge Arnaud Jouineau Jan-Philipp Kappner Katri Kärkkäinen Robert Kesälahti Florian Knutzen Sonja T Kujala Timo A Kumpula Mariaceleste Labriola Celine Lalanne Johannes Lambertz Martin Lascoux Vincent Lejeune Gregoire Le-Provost Joseph Levillain Mirko Liesebach David López-Quiroga Benjamin Meier Ermioni Malliarou Jérémy Marchon Nicolas Mariotte Antonio Mas Silvia Matesanz Helge Meischner Célia Michotey Pascal Milesi Sandro Morganti Daniel Nievergelt Eduardo Notivol Geir Østreng Birte Pakull Annika Perry Andrea Piotti Christophe Plomion Nicolas Poinot Mehdi Pringarbe Luc Puzos Tanja Pyhäjärvi Annie Raffin José A Ramírez-Valiente Christian Rellstab Dourthe Remi Sebastian Richter Juan J Robledo-Arnuncio Sergio San Segundo Outi Savolainen Silvio Schueler Volker Schneck Ivan Scotti Vladimir Semerikov Lenka Slámová Jørn Henrik Sønstebø Ilaria Spanu Jean Thevenet Mari Mette Tollefsrud Norbert Turion Giovanni Giuseppe Vendramin Marc Villar Georg von Arx Johan Westin Bruno Fady Tor Myking Fernando Valladares Filippos A Aravanopoulos Stephen CaversAbstract
Background Progress in the field of evolutionary forest ecology has been hampered by the huge challenge of phenotyping trees across their ranges in their natural environments, and the limitation in high-resolution environmental information. Findings The GenTree Platform contains phenotypic and environmental data from 4,959 trees from 12 ecologically and economically important European forest tree species: Abies alba Mill. (silver fir), Betula pendula Roth. (silver birch), Fagus sylvatica L. (European beech), Picea abies (L.) H. Karst (Norway spruce), Pinus cembra L. (Swiss stone pine), Pinus halepensis Mill. (Aleppo pine), Pinus nigra Arnold (European black pine), Pinus pinaster Aiton (maritime pine), Pinus sylvestris L. (Scots pine), Populus nigra L. (European black poplar), Taxus baccata L. (English yew), and Quercus petraea (Matt.) Liebl. (sessile oak). Phenotypic (height, diameter at breast height, crown size, bark thickness, biomass, straightness, forking, branch angle, fructification), regeneration, environmental in situ measurements (soil depth, vegetation cover, competition indices), and environmental modeling data extracted by using bilinear interpolation accounting for surrounding conditions of each tree (precipitation, temperature, insolation, drought indices) were obtained from trees in 194 sites covering the species’ geographic ranges and reflecting local environmental gradients. Conclusion The GenTree Platform is a new resource for investigating ecological and evolutionary processes in forest trees. The coherent phenotyping and environmental characterization across 12 species in their European ranges allow for a wide range of analyses from forest ecologists, conservationists, and macro-ecologists. Also, the data here presented can be linked to the GenTree Dendroecological collection, the GenTree Leaf Trait collection, and the GenTree Genomic collection presented elsewhere, which together build the largest evolutionary forest ecology data collection available.
Abstract
No abstract has been registered
Authors
Stefano Puliti Grant D. Pearse Michael S. Watt Edward Mitchard Ian McNicol Magnus Bremer Martin Rutzinger Peter Surovy Luke Wallace Markus Hollaus Rasmus AstrupAbstract
Survey-grade laser scanners suitable for drones (UAV-LS) allow the efficient collection of finely detailed three-dimensional (3D) information on tree structures allowing to resolve the complexity of the forest into discrete individual trees and species as well as into different component of the tree. Current developments are hindered by the limited availability of survey-grade UAV-LS data and by the lack of a publicly available benchmark dataset for developing and validating methods. We present a new benchmarking dataset composed of manually labelled UAV-LS data covering forests in different continents and eco-regions. Such data consists in single-tree point clouds, with each point classified as either stem, branches, and leaves. This benchmark dataset offers new possibilities to develop single-tree segmentation algorithms and validate existing ones.
Authors
Stefano Puliti Grant Pearse Michael Watt Edward Mitchard Ian McNicol Magnus Bremer Martin Rutzinger Peter Surovy Luke Wallace Markus Hollaus Rasmus AstrupAbstract
No abstract has been registered