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
Forfattere
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 ValladaresSammendrag
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.
Forfattere
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 CaversSammendrag
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.
Forfattere
Hannes Müller Schmied Denise Caceres Stephanie Eisner Martina Flörke Claudia Herbert Christoph Niemann Thedini Asali Peiris Eklavyya Popat Felix Theodor Portmann Robert Reinecke Maike Schumacher Somayeh Shadkam Camelia-Eliza Telteu Tim Trautmann Petra DöllSammendrag
WaterGAP is a global hydrological model that quantifies human use of groundwater and surface water as well as water flows and water storage and thus water resources on all land areas of the Earth. Since 1996, it has served to assess water resources and water stress both historically and in the future, in particular under climate change. It has improved our understanding of continental water storage variations, with a focus on overexploitation and depletion of water resources. In this paper, we describe the most recent model version WaterGAP 2.2d, including the water use models, the linking model that computes net abstractions from groundwater and surface water and the WaterGAP Global Hydrology Model (WGHM). Standard model output variables that are freely available at a data repository are explained. In addition, the most requested model outputs, total water storage anomalies, streamflow and water use, are evaluated against observation data. Finally, we show examples of assessments of the global freshwater system that can be achieved with WaterGAP 2.2d model output.
Forfattere
Holger LangeSammendrag
No abstract has been registered
Forfattere
Hui Tang Kjetil Schanke Aas Eirik Aasmo Finne Inge Althuizen Rosie A. Fisher Hans Tømmervik Ane Vollsnes Anders Bryn Sonya Rita Geange Sunniva Indrehus Vigdis Vandvik Jarle Werner Bjerke Terje Koren Berntsen Frode StordalSammendrag
No abstract has been registered
Forfattere
Jonas De Kesel Victor Flors Uwe Conrath Víctor Flors Estrella Luna Melissa Magerøy Brigitte Mauch-Mani Victoria Pastor María J. Pozo Corné M.J. Pieterse Jurriaan Ton Tina KyndtSammendrag
No abstract has been registered
Forfattere
Jonas De Kesel Uwe Conrath Victor Flors Estrella Luna Melissa Magerøy Brigitte Mauch-Mani Victoria Pastor María J. Pozo Corné M.J. Pieterse Jurriaan Ton Tina KyndtSammendrag
No abstract has been registered
Forfattere
Vlado Licina Milica Fotiric-Aksic Aleksandar Simic Tore Krogstad Mekjell MelandSammendrag
No abstract has been registered
Sammendrag
No abstract has been registered
Sammendrag
Methyl jasmonate (MeJA) treatment elicits induced resistance (IR) against pests and diseases in Norway spruce (Picea abies). We recently demonstrated using mRNA-seq that this MeJA-IR is associated with both a prolonged upregulation of inducible defenses and defense priming. Gene expression can be regulated at both a transcrip-tional and post-transcriptional level by small RNAs, including microRNAs (miRNAs). Here we explore the effects of MeJA treatment and subsequent challenge by wounding on the Norway spruce miRNA transcriptome. We found clusters of prolonged down- or upregulated miRNAs as well as miRNAs whose expression was primed after MeJA treatment and subsequent wounding challenge. Differentially expressed miRNAs included miR160, miR167, miR172, miR319, and the miR482/2118 superfamily. The most prominent mRNA targets predicted to be differentially expressed by miRNA activity belonged to the nucleotide-binding site leucine-rich repeat (NBS- LRR) family. Among other predicted miRNA targets were genes regulating jasmonic acid biosynthesis. Our re-sults indicate that miRNAs have an important role in the regulation of MeJA-IR in Norway spruce.