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.
2023
Abstract
No abstract has been registered
Authors
Jennifer James Chedly Kastally Katharina B. Budde Santiago C. González-Martínez Pascal Milesi Tanja Pyhäjärvi Martin Lascoux Paraskevi Alizoti Ricardo Alía Olivier Ambrosio Filippos A Aravanopoulos Georg Von Arx Albet Audrey Francisco Auñón Camilla Avanzi Evangelia Avramidou Francesca Bagnoli Marko Bajc Eduardo Ballesteros Evangelos Barbas José M García Del Barrio Cristina C Bastias Catherine Bastien Giorgia Beffa Raquel Benavides Vanina Benoit Frédéric Bernier Henri Bignalet Guillaume Bodineau Damien Bouic Sabine Brodbeck William Brunetto Jurata Buchovska Corinne Buret Melanie Buy Ana M Cabanillas-Saldaña Bárbara Carvalho Stephen Cavers Fernando Del Caño Sandra Cervantes Nicolas Cheval José M Climent Marianne Correard Eva Cremer Darius Danusevičius Benjamin Dauphin Jean-Luc Denou Bernard Dokhelar Alexis Ducousso Bruno Fady Patricia Faivre-Rampant Anna-Maria Farsakoglou Patrick Fonti Ioannis Ganopoulos Olivier Gilg Nicolas De Girardi René Graf Alan Gray Delphine Grivet Felix Gugerli Christoph Hartleitner Katrin Heer Enja Hollenbach Agathe Hurel Bernard Issenhuth Florence Jean Véronique Jorge Arnaud Jouineau Jan-Philipp Kappner Robert Kesälahti Florian Knutzen Sonja T Kujala Timo A Kumpula Katri Kärkkäinen Mariaceleste Labriola Celine Lalanne Johannes Lambertz Gregoire Le-Provost Vincent Lejeune Isabelle Lesur-Kupin Joseph Levillain Mirko Liesebach David López-Quiroga Ermioni Malliarou Jérémy Marchon Nicolas Mariotte Antonio Mas Silvia Matesanz Benjamin Meier Helge Meischner Célia Michotey Sandro Morganti Tor Myking Daniel Nievergelt Anne Eskild Nilsen Eduardo Notivol Dario Isidro Ojeda Alayon Sanna Olsson Lars Opgenoorth Geir Østreng Birte Pakull Annika Perry Sara Pinosio Andrea Piotti Christophe Plomion Nicolas Poinot Mehdi Pringarbe Luc Puzos Annie Raffin José A Ramírez-Valiente Christian Rellstab Dourthe Remi Oliver Reutimann Sebastian Richter Juan J Robledo-Arnuncio Odile Rogier Elisabet Martínez Sancho Outi Savolainen Simone Scalabrin Volker Schneck Silvio Schueler Ivan Scotti Sergio San Segundo Vladimir Semerikov Lenka Slámová Ilaria Spanu Jørn Henrik Sønstebø Jean Thevenet Mari Mette Tollefsrud Norbert Turion Fernando Valladares Giovanni G. Vendramin Marc Villar Marjana Westergren Johan WestinAbstract
New mutations provide the raw material for evolution and adaptation. The distribution of fitness effects (DFE) describes the spectrum of effects of new mutations that can occur along a genome, and is, therefore, of vital interest in evolutionary biology. Recent work has uncovered striking similarities in the DFE between closely related species, prompting us to ask whether there is variation in the DFE among populations of the same species, or among species with different degrees of divergence, that is whether there is variation in the DFE at different levels of evolution. Using exome capture data from six tree species sampled across Europe we characterized the DFE for multiple species, and for each species, multiple populations, and investigated the factors potentially influencing the DFE, such as demography, population divergence, and genetic background. We find statistical support for the presence of variation in the DFE at the species level, even among relatively closely related species. However, we find very little difference at the population level, suggesting that differences in the DFE are primarily driven by deep features of species biology, and those evolutionarily recent events, such as demographic changes and local adaptation, have little impact.
Authors
Binbin Xiang Torben Peters Theodora Kontogianni Frawa Vetterli Stefano Puliti Rasmus Astrup Konrad SchindlerAbstract
Panoptic segmentation is the combination of semantic and instance segmentation: assign the points in a 3D point cloud to semantic categories and partition them into distinct object instances. It has many obvious applications for outdoor scene understanding, from city mapping to forest management. Existing methods struggle to segment nearby instances of the same semantic category, like adjacent pieces of street furniture or neighbouring trees, which limits their usability for inventory- or management-type applications that rely on object instances. This study explores the steps of the panoptic segmentation pipeline concerned with clustering points into object instances, with the goal to alleviate that bottleneck. We find that a carefully designed clustering strategy, which leverages multiple types of learned point embeddings, significantly improves instance segmentation. Experiments on the NPM3D urban mobile mapping dataset and the FOR-instance forest dataset demonstrate the effectiveness and versatility of the proposed strategy.
Authors
Vilde Lytskjold Haukenes Johan Asplund Lisa Åsgård Jørund Rolstad Ken Olaf Storaunet Mikael OhlsonAbstract
Fire in the boreal forests emits substantial amounts of organically bound carbon (C) to the atmosphere and converts a fraction of the burnt organic matter into charcoal, which in turn is highly refractory and functions as a long-term stable C pool. It is well established that the boreal forest charcoal pool is sufficiently large to play a significant role in the global C cycle. However, there is a need for spatially representative estimates of how large proportions of the forest floor C pool are made up of charcoal across different plant communities in the boreal forest ecosystem. Thus, we have quantified the amounts of C separately in charcoal and the organic layers of the forest floor across fine spatial scales in a boreal forest landscape with a well-documented fire history. We found that the proportion of charcoal C made up an average of 1.2% of the total forest floor C, and the charcoal proportions showed a high small-scale spatial variability and were concentrated in the organic–mineral soil interface. Proportions of charcoal C decreased with increasing time since last fire. Deeper soils, denser soils, and local concave areas had the highest proportions of charcoal C, whereas historical fire frequencies and current differences in vegetation did not relate to the proportions of charcoal C.
Authors
Gry Alfredsen Lone Ross Mari Sand Austigard Johan Mattsson Anne Cathrine Flyen Nanna BjerregaardAbstract
This report is a documentation of the field data collection and sampling at Svalbard in 2022 within the project ArcticAlpineDecay. The sampling methods are described and for each object sampling was performed documentation is provided, incl. location, Askeladden ID, map coordinate, photo documentation and illustration of sampling. Compilation of the results from the project will be published in peer review journals and in a final report from the project.
Abstract
Polystyrene (PS) is a synthetic polymer widely used as a packaging material and in thermal insulation of buildings. At end-of-life, there are not many recycling management options of PS because of the reduced incentive and high cost. PS is non-biodegradable, and consequently, the disposal of this product causes serious health and environmental concerns. This study discusses the application of thermal treatment to modify the properties of PS waste foams. Both expanded and extended polystyrene were collected from building demolitions and subjected to different temperature treatments and duration. The effect of the treatment was investigated on the density, structure, glass transition temperature, mechanical properties (hardness, compression strength), thermal conductivity, and sound absorption of treated PS. The results showed that density increased with treatment temperature, which had a corresponding effect on the evaluated properties. The study concluded that thermal treatment is a beneficial way to improve the mechanical properties of PS waste from buildings. However, a trade-off between application and relevance still needs to be ascertained, as the thermal and acoustic insulation properties of PS decreased with the treatment.
Authors
Risto Päivinen Rasmus Astrup Richard A. Birdsey Johannes Breidenbach Jonas Fridman Annika Kangas Pekka E. Kauppi Michael Köhl Kari T. Korhonen Vivian Kvist Johannsen François Morneau Thomas Riedel Klemens Schadauer Iddo K. WernickAbstract
No abstract has been registered
Abstract
Field trials with Norway spruce seedlings from 84 full-sib families from a factorial cross in Opsahl Seed Orchard and 11 provenances were planted at eight sites between altitudes between 600 and 900 m in Oppland County in Norway. Measurements of tree heights and assessments of stem and branch defects were made at regular intervals until 34 years from seed. Data from measurements made in nursery trials and from artificial freezing trials were also available. The families from the seed orchard had on average 12 % better height growth than the provenances. For volume growth per hectare, measured in two of the trials 30 years after planting, the families had a superiority of more than 30 %. A large variation among families was present for height growth and additive genetic variation was the main genetic factor. For the maternal half-sib families, the ranking of families for height was stable after 15 years from seed, and the five best families selected for height at that age were at age 34 years 6 % taller and produced 13 % more volume per hectare compared with the mean of all families. Weak relationships were present between traits measured in the nursery trial, the freezing test and the field trials. Assessments were made of cone production at age 20 years after planting and showed variation among families for the frequency of trees with cones.
Abstract
Artificial freezing tests were performed on seedlings from Norway spruce families at the end of the first growing season. Similar tests were made on twigs collected from trees in a progeny test at the end of growing season nine. The 26 families in the early test were included in the short-term progeny test with 100 full-sib families from a 10 x 10 factorial cross. All families were also planted in seven field trials in Norway, Sweden and Finland, from which data on mortality, tree heights and stem damage at age 10 years are available. Significant difference was found among families for freezing test injuries on whole intact seedlings at the end of the first growing season and for lethal temperature of needles on detached twigs collected at the end of growing season nine. However, no relationships were found between the freezing test scores of families in the two types of tests or few between these scores and the traits measured in the short-term and field trials. The results show that frost hardiness testing of families at a young age, grown under artificial temperature and light conditions in nursery, is a weak predictor of their performance under natural conditions in field at older ages.
Abstract
The identification of individual tree logs along the wood procurement chain is a coveted goal within the forest industry. The tracing of logs from the sawmill back to the forest would support the legal and sustainable sourcing of wood, as well as increase the resource efficiency and value of harvested timber. In this work, using a dataset of thousands of Scots pine (Pinus sylvestris L.) log end images displaying varying perspectives, lighting, and aging effects, we develop and assess log identification methods based on deep convolutional neural networks. The estimated rank-1 accuracy of our final model on an independent test set of 99 logs is 84 and 91% when allowing for random rotations of the log ends and when keeping each log at approximately fixed orientation, respectively. We estimate the scaling of these methods up to a template pool size of 493 logs, which reveals a weak dependence of accuracy on pool size for logs at fixed orientation. The deep learning approach gives superior results to a classical local binary pattern method, and appears feasible in practice, assuming that pre-filtering of the log database can be leveraged depending on the use case and properties of the queried log image. We make our dataset publicly available.