The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-01-02

AUTHORS

Elisabet Martínez-Sancho, Lenka Slámová, Sandro Morganti, Claudio Grefen, Barbara Carvalho, Benjamin Dauphin, Christian Rellstab, Felix Gugerli, Lars Opgenoorth, Katrin Heer, Florian Knutzen, Georg von Arx, Fernando Valladares, Stephen Cavers, Bruno Fady, Ricardo Alía, Filippos Aravanopoulos, Camilla Avanzi, Francesca Bagnoli, Evangelos Barbas, Catherine Bastien, Raquel Benavides, Frédéric Bernier, Guillaume Bodineau, Cristina C Bastias, Jean-Paul Charpentier, José M Climent, Marianne Corréard, Florence Courdier, Darius Danusevicius, Anna-Maria Farsakoglou, José M García Del Barrio, Olivier Gilg, Santiago C González-Martínez, Alan Gray, Christoph Hartleitner, Agathe Hurel, Arnaud Jouineau, Katri Kärkkäinen, Sonja T Kujala, Mariaceleste Labriola, Martin Lascoux, Marlène Lefebvre, Vincent Lejeune, Grégoire Le-Provost, Mirko Liesebach, Ermioni Malliarou, Nicolas Mariotte, Silvia Matesanz, Célia Michotey, Pascal Milesi, Tor Myking, Eduardo Notivol, Birte Pakull, Andrea Piotti, Christophe Plomion, Mehdi Pringarbe, Tanja Pyhäjärvi, Annie Raffin, José A Ramírez-Valiente, Kurt Ramskogler, Juan J Robledo-Arnuncio, Outi Savolainen, Silvio Schueler, Vladimir Semerikov, Ilaria Spanu, Jean Thévenet, Mari Mette Tollefsrud, Norbert Turion, Dominique Veisse, Giovanni Giuseppe Vendramin, Marc Villar, Johan Westin, Patrick Fonti

ABSTRACT

The dataset presented here was collected by the GenTree project (EU-Horizon 2020), which aims to improve the use of forest genetic resources across Europe by better understanding how trees adapt to their local environment. This dataset of individual tree-core characteristics including ring-width series and whole-core wood density was collected for seven ecologically and economically important European tree species: silver birch (Betula pendula), European beech (Fagus sylvatica), Norway spruce (Picea abies), European black poplar (Populus nigra), maritime pine (Pinus pinaster), Scots pine (Pinus sylvestris), and sessile oak (Quercus petraea). Tree-ring width measurements were obtained from 3600 trees in 142 populations and whole-core wood density was measured for 3098 trees in 125 populations. This dataset covers most of the geographical and climatic range occupied by the selected species. The potential use of it will be highly valuable for assessing ecological and evolutionary responses to environmental conditions as well as for model development and parameterization, to predict adaptability under climate change scenarios. More... »

PAGES

1

Journal

TITLE

Scientific Data

ISSUE

1

VOLUME

7

Author Affiliations

  • Swiss Federal Institute for Forest Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland. elisabet.martinez@wsl.ch.
  • Swiss Federal Institute for Forest Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland.
  • Philipps-Universität Marburg, Department of Biology, Karl-von-Frisch-Strasse 8, 35043, Marburg, Germany.
  • Department of Biogeography and Global Change, National Museum of Natural Sciences MNCN-CSIC, Serrano 115 dpdo, 28006, Madrid, Spain.
  • Bavarian Office for Forest Seeding and Planting - ASP, Forstamtsplatz 1, 83317, Teisendorf, Germany.
  • Centre for Ecology and Hydrology NERC, EH26 0QB, Edinburgh, United Kingdom.
  • Institut National de la Recherche Agronomique (INRA), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France.
  • Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain.
  • Laboratory of Forest Genetics and Tree Breeding, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
  • Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto Fiorentino, Italy.
  • Institut National de la Recherche Agronomique (INRA), Avenue de la Pomme de pin 2163, 45075, Orléans, France.
  • Institut National de la Recherche Agronomique (INRA), route d'Arcachon 69, 33610, Cestas, France.
  • Vytautas Magnus University, Studentu Street 11, 53361, Akademija, Lithuania.
  • LIECO GmbH & Co KG, Forstgarten 1, 8775, Kalwang, Austria.
  • Natural Resources Institute Finland, University of Oulu, Paavo Havaksen tie 3, 90014, Oulu, Finland.
  • Department of Ecology & Genetics, EBC, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden.
  • Thünen Institute of Forest Genetics, Sieker Landstr. 2, 22927, Grosshansdorf, Germany.
  • Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933, Móstoles, Spain.
  • Université Paris-Saclay, INRAE, URGI, 78026, Versailles, France.
  • Department of Ecology and Genetics, Evolutionary Biology Center, Science for Life Laboratory, Uppsala University, Norbyvägen 18 D, 752 36, Uppsala, Sweden.
  • Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway.
  • Centro de Investigación y Tecnología Agroalimentaria de Aragón - Unidad de Recursos Forestales (CITA), Avda. Montañana 930, 50059, Zaragoza, Spain.
  • University of Oulu, Pentti Kaiteran katu 1, 90014, Oulu, Finland.
  • Austrian Research Centre for Forests (BFW), Seckendorff-Gudent-Weg 8, 1131, Wien, Austria.
  • Institute of Plant and Animal Ecology, Ural branch of RAS, 8 Marta St. 202, 620144, Ekaterinburg, Russia.
  • Skogforsk, Tomterna 1, 91821, Sävar, Sweden.
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41597-019-0340-y

    DOI

    http://dx.doi.org/10.1038/s41597-019-0340-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1123776966

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31896794


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    24 schema:description The dataset presented here was collected by the GenTree project (EU-Horizon 2020), which aims to improve the use of forest genetic resources across Europe by better understanding how trees adapt to their local environment. This dataset of individual tree-core characteristics including ring-width series and whole-core wood density was collected for seven ecologically and economically important European tree species: silver birch (Betula pendula), European beech (Fagus sylvatica), Norway spruce (Picea abies), European black poplar (Populus nigra), maritime pine (Pinus pinaster), Scots pine (Pinus sylvestris), and sessile oak (Quercus petraea). Tree-ring width measurements were obtained from 3600 trees in 142 populations and whole-core wood density was measured for 3098 trees in 125 populations. This dataset covers most of the geographical and climatic range occupied by the selected species. The potential use of it will be highly valuable for assessing ecological and evolutionary responses to environmental conditions as well as for model development and parameterization, to predict adaptability under climate change scenarios.
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