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The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe |
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| Author: | Martínez-Sancho, Elisabet1; Slámová, Lenka1; Morganti, Sandro1; |
| Organizations: |
1Swiss Federal Institute for Forest Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland 2Philipps-Universität Marburg, Department of Biology, Karl-von-Frisch-Strasse 8, 35043, Marburg, Germany 3Department of Biogeography and Global Change, National Museum of Natural Sciences MNCN-CSIC, Serrano 115 dpdo, 28006, Madrid, Spain
4Bavarian Office for Forest Seeding and Planting – ASP, Forstamtsplatz 1, 83317, Teisendorf, Germany
5Centre for Ecology and Hydrology NERC, EH26 0QB, Edinburgh, United Kingdom 6Institut National de la Recherche Agronomique (INRA), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France 7Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain 8Laboratory of Forest Genetics and Tree Breeding, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece 9Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto Fiorentino, Italy 10Institut National de la Recherche Agronomique (INRA), Avenue de la Pomme de pin 2163, 45075, Orléans, France 11Institut National de la Recherche Agronomique (INRA), route d’Arcachon 69, 33610, Cestas, France 12Vytautas Magnus University, Studentu Street 11, 53361, Akademija, Lithuania 13LIECO GmbH & Co KG, Forstgarten 1, 8775, Kalwang, Austria 14Natural Resources Institute Finland, University of Oulu, Paavo Havaksen tie 3, 90014, Oulu, Finland 15Department of Ecology & Genetics, EBC, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden 16Thünen Institute of Forest Genetics, Sieker Landstr. 2, 22927, Grosshansdorf, Germany 17Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933, Móstoles, Spain 18Université Paris-Saclay, INRAE, URGI, 78026, Versailles, France 19Department of Ecology and Genetics, Evolutionary Biology Center, Science for Life Laboratory, Uppsala University, Norbyvägen 18 D, 752 36, Uppsala, Sweden 20Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway 21Centro de Investigación y Tecnología Agroalimentaria de Aragón - Unidad de Recursos Forestales (CITA), Avda. Montañana 930, 50059, Zaragoza, Spain 22University of Oulu, Pentti Kaiteran katu 1, 90014, Oulu, Finland 23Austrian Research Centre for Forests (BFW), Seckendorff-Gudent-Weg 8, 1131, Wien, Austria 24Institute of Plant and Animal Ecology, Ural branch of RAS, 8 Marta St. 202, 620144, Ekaterinburg, Russia 25Skogforsk, Tomterna 1, 91821, Sävar, Sweden |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 1.3 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2020040310244 |
| Language: | English |
| Published: |
Springer Nature,
2020
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| Publish Date: | 2020-04-03 |
| Description: |
AbstractThe 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. see all
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| Series: |
Scientific data |
| ISSN: | 2052-4463 |
| ISSN-E: | 2052-4463 |
| ISSN-L: | 2052-4463 |
| Volume: | 7 |
| Issue: | 1 |
| Article number: | 1 |
| DOI: | 10.1038/s41597-019-0340-y |
| OADOI: | https://oadoi.org/10.1038/s41597-019-0340-y |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
1184 Genetics, developmental biology, physiology |
| Subjects: | |
| Funding: |
This publication is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676876 (GenTree). This work was also supported by the Swiss Secretariat for Education, Research and Innovation (SERI) under contract No. 6.0032. |
| EU Grant Number: |
(676876) GenTree - Optimising the management and sustainable use of forest genetic resources in Europe |
| Copyright information: |
© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
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https://creativecommons.org/licenses/by/4.0/ |