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The GenTree Leaf Collection: Inter‐ and intraspecific leaf variation in seven forest tree species in Europe
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AbstractMotivationTrait 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 containedWe 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 grainWe surveyed between 18 and 22 populations per species, 141 in total, across Europe.Time periodLeaf sampling took place between 2016 and 2017.Major taxa and level of measurementWe 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 formatThe data files are in ASCII text, tab delimited, not compressed.
Wiley
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 E. 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 Valladares
Title: The GenTree Leaf Collection: Inter‐ and intraspecific leaf variation in seven forest tree species in Europe
Description:
AbstractMotivationTrait 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 containedWe 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 grainWe surveyed between 18 and 22 populations per species, 141 in total, across Europe.
Time periodLeaf sampling took place between 2016 and 2017.
Major taxa and level of measurementWe 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 formatThe data files are in ASCII text, tab delimited, not compressed.
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