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The GenTree Platform : growth traits and tree-level environmental data in 12 European forest tree species |
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| Author: | Opgenoorth, Lars1,2; Benjamin, Dauphin2; Benavides, Raquel3; |
| Organizations: |
1Philipps Univ Marburg, Fac Biol Plant Ecol & Geobotany, Karl von Frisch Str 8, D-35043 Marburg, Germany. 2Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland. 3CSIC, Museo Nacl Ciencias Nat, Dept Biogeog & Global Change, LINCGlobal, Serrano 115 Dpdo, Madrid 28006, Spain.
4Aristotle Univ Thessaloniki, Sch Forestry & Nat Environm, Lab Forest Genet & Tree Improvement, Thessaloniki 54124, Greece.
5Ctr Invest Forestal INIA CIFOR, Inst Nacl Invest & Tecnol Agr & Alimentaria, Ctra Coruna Km 7-5, Madrid 28040, Spain. 6Inst Natl Rech Agr Alimentat & Environm INRAE, Site Agroparc, F-84914 Avignon, France. 7UEFP, Inst Natl Rech Agr Alimentat & Environm INRAE, F-33610 Cestas, France. 8Natl Res Council CNR, Inst Biosci & BioResources, Via Madonna del Piano 10, I-50019 Sesto, Fiorentino, Italy. 9CNRS, UMR 5175, Ctr Ecol Fonct & Evolut CEFE, F-34090 Montpellier, France. 10Inst Natl Rech Agr Alimentat & Environm INRAE, Dept ECOFA, F-45075 Orleans, France. 11Inst Natl Rech Agr Alimentat & Environm INRAE, GBFOR, F-45075 Orleans, France. 12Vytautas Magnus Univ, Studentu St 11, LT-53361 Akademija, Lithuania. 13Gobierno Aragon, Dept Agr Ganaderia & Medio, P Ma Agustin 36, Zaragoza 50071, Spain. 14Bavarian Inst Forest Genet, Forstamtspl 1, D-83317 Teisendorf, Germany. 15Univ Bordeaux, INRAE, BIOGECO, F-33770 Cestas, France. 16Norwegian Inst Bioecon Res NIBIO, Div Forestry & Forest Resources, POB 115, N-1431 As, Norway. 17Hellen Agr Org DEMETER Ex NAGREF, Inst Plant Breeding & Genet Resources, Thermi 57001, Greece. 18UK Ctr Ecol & Hydrol, Bush Estate Penicuik, Edinburgh EH26 0QB, Midlothian, Scotland. 19LIECO GmbH & Co KG;, Kalwang, Austria. 20Inst Natl Rech Agr Alimentat & Environm INRAE, ONF, BIOFORA, F-45075 Orleans, France. 21Univ Oulu, Nat Resources Inst Finland, Paavo Havaksentie 3, Oulu 90014, Finland. 22Univ Oulu, Pentti Kaiteran Katu 1, Oulu 90014, Finland. 23Uppsala Univ, EBC, Dept Ecol & Genet, Norbyvagen 18D, S-75236 Uppsala, Sweden. 24Univ Lorraine, AgroParisTech, INRAE, SILVA, F-54000 Nancy, France. 25Thunen Inst Forest Genet, Sieker Landstr 2, D-22927 Grosshansdorf, Germany. 26Univ Rey Juan Carlos, Area Biodiversidad & Conservac, Calle Tulipan S-N, Mostoles 28933, Spain. 27Inst Natl Rech Agr Alimentat & Environm INRAE, URGI, Versailles, France. 28Uppsala Univ, Sci Life Lab, EBC, Dept Ecol & Genet, S-75236 Uppsala, Sweden. 29Ctr Invest & Tecnol Agroalimentaria Aragon, Unidad Recursos Forest CITA, Avda Montanana 930, Zaragoza 50059, Spain. 30Austrian Res Ctr Forests BFW, Seckendorff Gudent Weg 8, A-1131 Vienna, Austria. 31Thunen Inst Forest Genet, Eberswalder Chaussee 3a, D-15377 Waldsieversdorf, Germany. 32RAS, Inst Plant & Anim Ecol, Ural Branch, 8 Marta St 202, Ekaterinburg 620144, Russia. 33Skogforsk, Tomterna 1, S-91821 Savar, Sweden. |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 7.4 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2022033126531 |
| Language: | English |
| Published: |
Oxford University Press,
2021
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| Publish Date: | 2022-03-31 |
| Description: |
AbstractBackground: 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. Conclusions: 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. see all
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| Series: |
GigaScience |
| ISSN: | 2047-217X |
| ISSN-E: | 2047-217X |
| ISSN-L: | 2047-217X |
| Volume: | 10 |
| Issue: | 3 |
| Article number: | giab010 |
| DOI: | 10.1093/gigascience/giab010 |
| OADOI: | https://oadoi.org/10.1093/gigascience/giab010 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
1181 Ecology, evolutionary biology |
| Subjects: | |
| Funding: |
This publication is part of the GenTree project, which was funded by the European Union's Horizon 2020 research and innovation program under grant agreement No. 676876 (GenTree). This workwas 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) 2021. Published by Oxford University Press GigaScience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
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https://creativecommons.org/licenses/by/4.0/ |