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1. Between but not within species variation in the distribution of fitness effects

Author

James, Jennifer, Kastally, Chedly, Budde, Katharina B., González-Martínez, Santiago C., Milesi, Pascal, Pyhäjärvi, Tanja, Alizoti, Paraskevi, Alía, Ricardo, Ambrosio, Olivier, Aravanopoulos, Filippos A., von Arx, Georg, Audrey, Albet, Auñón, Francisco, Avanzi, Camilla, Avramidou, Evangelia, Bagnoli, Francesca, Bajc, Marko, Ballesteros, Eduardo, Barbas, Evangelos, del Barrio, José M. García, Bastias, Cristina C., Bastien, Catherine, Beffa, Giorgia, Benavides, Raquel, Benoit, Vanina, Bernier, Frédéric, Bignalet, Henri, Bodineau, Guillaume, Bouic, Damien, Brodbeck, Sabine, Brunetto, William, Buchovska, Jurata, Buret, Corinne, Buy, Melanie, Cabanillas-Saldaña, Ana M., Carvalho, Bárbara, Cavers, Stephen, Del Caño, Fernando, Cervantes, Sandra, Cheval, Nicolas, Climent, José M., Correard, Marianne, Cremer, Eva, Danusevičius, Darius, Dauphin, Benjamin, Denou, Jean-Luc, Dokhelar, Bernard, Ducousso, Alexis, Fady, Bruno, Faivre-Rampant, Patricia, Farsakoglou, Anna-Maria, Fonti, Patrick, Ganopoulos, Ioannis, Gilg, Olivier, De Girardi, Nicolas, Graf, René, Gray, Alan, Grivet, Delphine, Gugerli, Felix, Hartleitner, Christoph, Heer, Katrin, Hollenbach, Enja, Hurel, Agathe, Issenhuth, Bernard, Jean, Florence, Jorge, Véronique, Jouineau, Arnaud, Kappner, Jan-Philipp, Kesälahti, Robert, Knutzen, Florian, Kujala, Sonja T., Kumpula, Timo A., Kärkkäinen, Katri, Labriola, Mariaceleste, Lalanne, Celine, Lambertz, Johannes, Le-Provost, Gregoire, Lejeune, Vincent, Lesur-Kupin, Isabelle, Levillain, Joseph, Liesebach, Mirko, López-Quiroga, David, Malliarou, Ermioni, Marchon, Jérémy, Mariotte, Nicolas, Mas, Antonio, Matesanz, Silvia, Meier, Benjamin, Meischner, Helge, Michotey, Célia, Morganti, Sandro, Myking, Tor, Nievergelt, Daniel, Eskild Nilsen, Anne, Notivol, Eduardo, Ojeda, Dario I., Olsson, Sanna, Opgenoorth, Lars, Ostreng, Geir, Pakull, Birte, Perry, Annika, Pinosio, Sara, Piotti, Andrea, Plomion, Christophe, Poinot, Nicolas, Pringarbe, Mehdi, Puzos, Luc, Raffin, Annie, Ramírez-Valiente, José A., Rellstab, Christian, Remi, Dourthe, Reutimann, Oliver, Richter, Sebastian, Robledo-Arnuncio, Juan J., Rogier, Odile, Sancho, Elisabet Martínez, Savolainen, Outi, Scalabrin, Simone, Schneck, Volker, Schueler, Silvio, Scotti, Ivan, Segundo, Sergio San, Semerikov, Vladimir, Slámová, Lenka, Spanu, Ilaria, Sønstebø, Jørn Henrik, Thevenet, Jean, Tollefsrud, Mari Mette, Turion, Norbert, Valladares, Fernando, Vendramin, Giovanni G., Villar, Marc, Westergren, Marjana, Westin, Johan, Lascoux, Martin, James, Jennifer, Kastally, Chedly, Budde, Katharina B., González-Martínez, Santiago C., Milesi, Pascal, Pyhäjärvi, Tanja, Alizoti, Paraskevi, Alía, Ricardo, Ambrosio, Olivier, Aravanopoulos, Filippos A., von Arx, Georg, Audrey, Albet, Auñón, Francisco, Avanzi, Camilla, Avramidou, Evangelia, Bagnoli, Francesca, Bajc, Marko, Ballesteros, Eduardo, Barbas, Evangelos, del Barrio, José M. García, Bastias, Cristina C., Bastien, Catherine, Beffa, Giorgia, Benavides, Raquel, Benoit, Vanina, Bernier, Frédéric, Bignalet, Henri, Bodineau, Guillaume, Bouic, Damien, Brodbeck, Sabine, Brunetto, William, Buchovska, Jurata, Buret, Corinne, Buy, Melanie, Cabanillas-Saldaña, Ana M., Carvalho, Bárbara, Cavers, Stephen, Del Caño, Fernando, Cervantes, Sandra, Cheval, Nicolas, Climent, José M., Correard, Marianne, Cremer, Eva, Danusevičius, Darius, Dauphin, Benjamin, Denou, Jean-Luc, Dokhelar, Bernard, Ducousso, Alexis, Fady, Bruno, Faivre-Rampant, Patricia, Farsakoglou, Anna-Maria, Fonti, Patrick, Ganopoulos, Ioannis, Gilg, Olivier, De Girardi, Nicolas, Graf, René, Gray, Alan, Grivet, Delphine, Gugerli, Felix, Hartleitner, Christoph, Heer, Katrin, Hollenbach, Enja, Hurel, Agathe, Issenhuth, Bernard, Jean, Florence, Jorge, Véronique, Jouineau, Arnaud, Kappner, Jan-Philipp, Kesälahti, Robert, Knutzen, Florian, Kujala, Sonja T., Kumpula, Timo A., Kärkkäinen, Katri, Labriola, Mariaceleste, Lalanne, Celine, Lambertz, Johannes, Le-Provost, Gregoire, Lejeune, Vincent, Lesur-Kupin, Isabelle, Levillain, Joseph, Liesebach, Mirko, López-Quiroga, David, Malliarou, Ermioni, Marchon, Jérémy, Mariotte, Nicolas, Mas, Antonio, Matesanz, Silvia, Meier, Benjamin, Meischner, Helge, Michotey, Célia, Morganti, Sandro, Myking, Tor, Nievergelt, Daniel, Eskild Nilsen, Anne, Notivol, Eduardo, Ojeda, Dario I., Olsson, Sanna, Opgenoorth, Lars, Ostreng, Geir, Pakull, Birte, Perry, Annika, Pinosio, Sara, Piotti, Andrea, Plomion, Christophe, Poinot, Nicolas, Pringarbe, Mehdi, Puzos, Luc, Raffin, Annie, Ramírez-Valiente, José A., Rellstab, Christian, Remi, Dourthe, Reutimann, Oliver, Richter, Sebastian, Robledo-Arnuncio, Juan J., Rogier, Odile, Sancho, Elisabet Martínez, Savolainen, Outi, Scalabrin, Simone, Schneck, Volker, Schueler, Silvio, Scotti, Ivan, Segundo, Sergio San, Semerikov, Vladimir, Slámová, Lenka, Spanu, Ilaria, Sønstebø, Jørn Henrik, Thevenet, Jean, Tollefsrud, Mari Mette, Turion, Norbert, Valladares, Fernando, Vendramin, Giovanni G., Villar, Marc, Westergren, Marjana, Westin, Johan, and Lascoux, Martin

Abstract

New mutations provide the raw material for evolution and adaptation. The distribution of fitness effects (DFE) describes the spectrum of effects of new mutations that can occur along a genome, and is therefore of vital interest in evolutionary biology. Recent work has uncovered striking similarities in the DFE between closely related species, prompting us to ask whether there is variation in the DFE among populations of the same species, or among species with different degrees of divergence, i.e., whether there is variation in the DFE at different levels of evolution. Using exome capture data from six tree species sampled across Europe we characterised the DFE for multiple species, and for each species, multiple populations, and investigated the factors potentially influencing the DFE, such as demography, population divergence and genetic background. We find statistical support for there being variation in the DFE at the species level, even among relatively closely related species. However, we find very little difference at the population level, suggesting that differences in the DFE are primarily driven by deep features of species biology, and that evolutionarily recent events, such as demographic changes and local adaptation, have little impact.

Published
2023

2. The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species

Author

Opgenoorth, Lars, Dauphin, Benjamin, Benavides, Raquel, Heer, Katrin, Alizoti, Paraskevi, Martínez-Sancho, Elisabet, Alía, Ricardo, Ambrosio, Olivier, Audrey, Albet, Auñón, Francisco, Avanzi, Camilla, Avramidou, Evangelia, Bagnoli, Francesca, Barbas, Evangelos, Bastias, Cristina C, Bastien, Catherine, Ballesteros, Eduardo, Beffa, Giorgia, Bernier, Frédéric, Bignalet, Henri, Bodineau, Guillaume, Bouic, Damien, Brodbeck, Sabine, Brunetto, William, Buchovska, Jurata, Buy, Melanie, Cabanillas-Saldaña, Ana M, Carvalho, Bárbara, Cheval, Nicolas, Climent, José M, Correard, Marianne, Cremer, Eva, Danusevičius, Darius, Del Caño, Fernando, Denou, Jean-Luc, Di Gerardi, Nicolas, Dokhelar, Bernard, Ducousso, Alexis, Nilsen, Anne Eskild, Farsakoglou, Anna-Maria, Fonti, Patrick, Ganopoulos, Ioannis, García Del Barrio, José M, Gilg, Olivier, González-Martínez, Santiago C, Graf, René, Gray, Alan, Grivet, Delphine, Gugerli, Felix, Hartleitner, Christoph, Hollenbach, Enja, Hurel, Agathe, Issehut, Bernard, Jean, Florence, Jorge, Veronique, Jouineau, Arnaud, Kappner, Jan-Philipp, Kärkkäinen, Katri, Kesälahti, Robert, Knutzen, Florian, Kujala, Sonja T, Kumpula, Timo A, Labriola, Mariaceleste, Lalanne, Celine, Lambertz, Johannes, Lascoux, Martin, Lejeune, Vincent, Le-Provost, Gregoire, Levillain, Joseph, Liesebach, Mirko, López-Quiroga, David, Meier, Benjamin, Malliarou, Ermioni, Marchon, Jérémy, Mariotte, Nicolas, Mas, Antonio, Matesanz, Silvia, Meischner, Helge, Michotey, Célia, Milesi, Pascal, Morganti, Sandro, Nievergelt, Daniel, Notivol, Eduardo, Østreng, Geir, Pakull, Birte, Perry, Annika, Piotti, Andrea, Plomion, Christophe, Poinot, Nicolas, Pringarbe, Mehdi, Puzos, Luc, Pyhäjärvi, Tanja, Raffin, Annie, Ramírez-Valiente, José A, Rellstab, Christian, Remi, Dourthe, Richter, Sebastian, Robledo-Arnuncio, Juan J, San Segundo, Sergio, Savolainen, Outi, Schueler, Silvio, Schneck, Volker, Scotti, Ivan, Semerikov, Vladimir, Slámová, Lenka, Sønstebø, Jørn Henrik, Spanu, Ilaria, Thevenet, Jean, Tollefsrud, Mari Mette, Turion, Norbert, Vendramin, Giovanni Giuseppe, Villar, Marc, von Arx, Georg, Westin, Johan, Fady, Bruno, Myking, Tor, Valladares, Fernando, Aravanopoulos, Filippos A, Cavers, Stephen, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Philipps Universität Marburg = Philipps University of Marburg, Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Aristotle University of Thessaloniki, Department of Forest Ecology and Genetics, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA), Ecologie des Forêts Méditerranéennes (URFM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité expérimentale Forêt Pierroton (UEFP), Istituto di Bioscienze e BioRisorse [Palermo] (IBBR), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Biologie intégrée pour la valorisation de la diversité des Arbres et de la Forêt (BioForA), Office national des forêts (ONF)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique et Biomasse Forestières ORléans (GBFOR), Vytautas Magnus University - Vytauto Didziojo Universitetas (VDU), Unité de Recherche Génomique Info (URGI), Gobierno de Aragon, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Unité Expérimentale Entomologie et Forêt Méditerranéenne (UEFM), Bavarian Office for Forest Seeding and Planting, Partenaires INRAE, Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), UK Centre for Ecology & Hydrology, Natural Environment Research Council (NERC), LIECO GmbH & Co KG, Natural Resources Institute Finland (LUKE), University of Oulu, Department of Ecology and Genetics [Uppsala] (EBC), Uppsala University, SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Thunen Institute of Forest Ecosystems, Thünen Institute, Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, Universidad Rey Juan Carlos [Madrid] (URJC), Austrian Research Centre for Forests (BFW), Institute of Plant and Animal Ecology, Ural Branch of Russian Academy of Sciences (UB RAS), Skogforsk - Swedish Forestry Research Institute, Swiss Secretariat for Education, Research and Innovation (SERI) 6.0032, European Project: 676876,H2020,H2020-SFS-2015-2,GenTree(2016), Philipps Universität Marburg, Museo Nacional de Ciencias Naturales (CSIC), Consiglio Nazionale delle Ricerche (CNR), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Office National des Forêts (ONF)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centro de Investigacion Y Tecnologia Agroalimentaria de Aragon, Norwegian Institute of Bioeconomy Research (NIBIO), and Centro de Investigacion y Tecnologia Agroalimentaria de Aragon (CITA)

Subjects
crown size, fruit number, Skogsvetenskap, bark thickness, AcademicSubjects/SCI02254, DBH, Forest Science, soil depth, forking index, Botany, Pinus sylvestris, Botanik, Forests, Data Note, stem straightness, Ecology and Environment, Trees, regeneration, branch angle, Fagus, AcademicSubjects/SCI00960, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Picea, height
Abstract

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.

Published
2021
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3. The GenTree Leaf Collection: inter‐ and intraspecific leaf variation in seven forest tree species in Europe

Author

Benavides, Raquel, Carvalho, Bárbara, Bastias, Cristina C., López‐Quiroga, David, Mas, Antonio, Cavers, Stephen, Gray, Alan, Albet, Audrey, Alía, Ricardo, Ambrosio, Olivier, Aravanopoulos, Filippos, Auñón, Francisco, Avanzi, Camilla, Avramidou, Evangelia V., Bagnoli, Francesca, Ballesteros, Eduardo, Barbas, Evangelos, Bastien, Catherine, Bernier, Frédéric, Bignalet, Henry, Bouic, Damien, Brunetto, William, Buchovska, Jurata, Cabanillas‐Saldaña, Ana M., Cheval, Nicolas, Climent, José M., Correard, Marianne, Cremer, Eva, Danusevičius, Darius, Dauphin, Benjamin, Del Caño, Fernando, Denou, Jean‐Luc, Dokhelar, Bernard, Dourthe, Rémi, Farsakoglou, Anna‐Maria, Fera, Andreas, Fonti, Patrick, Ganopoulos, Ioannis, García del Barrio, José M., Gilg, Olivier, González‐Martínez, Santiago C., Graf, René, Grivet, Delphine, Gugerli, Felix, Hartleitner, Christoph, Heer, Katrin, Hollenbach, Enja, Hurel, Agathe, Issehuth, Bernard, Jean, Florence, Jorge, Veronique, Jouineau, Arnaud, Kappner, Jan‐Philipp, Kärkkäinen, Katri, Kesälahti, Robert, Knutzen, Florian, Kujala, Sonja T., Kumpula, Timo, Labriola, Mariaceleste, Lalanne, Celine, Lambertz, Johannes, Lascoux, Martin, Le Provost, Gregoire, Liesebach, Mirko, Malliarou, Ermioni, Marchon, Jérémy, Mariotte, Nicolas, Martínez‐Sancho, Elisabet, Matesanz, Silvia, Meischner, Helge, Michotey, Célia, Milesi, Pascal, Morganti, Sandro, Myking, Tor, Nilsen, Anne E., Notivol, Eduardo, Opgenoorth, Lars, Østreng, Geir, Pakull, Birte, Piotti, Andrea, Plomion, Christophe, Poinot, Nicolas, Pringarbe, Mehdi, Puzos, Luc, Pyhäjärvi, Tanja, Raffin, Annie, Ramírez‐Valiente, José A., Rellstab, Christian, Richter, Sebastian, Robledo‐Arnuncio, Juan J., San Segundo, Sergio, Savolainen, Outi, Schneck, Volker, Schueler, Silvio, Scotti, Ivan, Semerikov, Vladimir, Henrik Sønstebø, Jørn, Spanu, Ilaria, Thevenet, Jean, Tollefsrud, Mari Mette, Turion, Norbert, Vendramin, Giovanni Giuseppe, Villar, Marc, Westin, Johan, Fady, Bruno, Valladares, Fernando, Benavides, Raquel, Carvalho, Bárbara, Bastias, Cristina C., López‐Quiroga, David, Mas, Antonio, Cavers, Stephen, Gray, Alan, Albet, Audrey, Alía, Ricardo, Ambrosio, Olivier, Aravanopoulos, Filippos, Auñón, Francisco, Avanzi, Camilla, Avramidou, Evangelia V., Bagnoli, Francesca, Ballesteros, Eduardo, Barbas, Evangelos, Bastien, Catherine, Bernier, Frédéric, Bignalet, Henry, Bouic, Damien, Brunetto, William, Buchovska, Jurata, Cabanillas‐Saldaña, Ana M., Cheval, Nicolas, Climent, José M., Correard, Marianne, Cremer, Eva, Danusevičius, Darius, Dauphin, Benjamin, Del Caño, Fernando, Denou, Jean‐Luc, Dokhelar, Bernard, Dourthe, Rémi, Farsakoglou, Anna‐Maria, Fera, Andreas, Fonti, Patrick, Ganopoulos, Ioannis, García del Barrio, José M., Gilg, Olivier, González‐Martínez, Santiago C., Graf, René, Grivet, Delphine, Gugerli, Felix, Hartleitner, Christoph, Heer, Katrin, Hollenbach, Enja, Hurel, Agathe, Issehuth, Bernard, Jean, Florence, Jorge, Veronique, Jouineau, Arnaud, Kappner, Jan‐Philipp, Kärkkäinen, Katri, Kesälahti, Robert, Knutzen, Florian, Kujala, Sonja T., Kumpula, Timo, Labriola, Mariaceleste, Lalanne, Celine, Lambertz, Johannes, Lascoux, Martin, Le Provost, Gregoire, Liesebach, Mirko, Malliarou, Ermioni, Marchon, Jérémy, Mariotte, Nicolas, Martínez‐Sancho, Elisabet, Matesanz, Silvia, Meischner, Helge, Michotey, Célia, Milesi, Pascal, Morganti, Sandro, Myking, Tor, Nilsen, Anne E., Notivol, Eduardo, Opgenoorth, Lars, Østreng, Geir, Pakull, Birte, Piotti, Andrea, Plomion, Christophe, Poinot, Nicolas, Pringarbe, Mehdi, Puzos, Luc, Pyhäjärvi, Tanja, Raffin, Annie, Ramírez‐Valiente, José A., Rellstab, Christian, Richter, Sebastian, Robledo‐Arnuncio, Juan J., San Segundo, Sergio, Savolainen, Outi, Schneck, Volker, Schueler, Silvio, Scotti, Ivan, Semerikov, Vladimir, Henrik Sønstebø, Jørn, Spanu, Ilaria, Thevenet, Jean, Tollefsrud, Mari Mette, Turion, Norbert, Vendramin, Giovanni Giuseppe, Villar, Marc, Westin, Johan, Fady, Bruno, and Valladares, Fernando

Abstract

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.

Published
2021

4. The GenTree Leaf Collection: Inter‐ and intraspecific leaf variation in seven forest tree species in Europe

Author

Benavides, Raquel, primary, Carvalho, Bárbara, additional, Bastias, Cristina C., additional, López‐Quiroga, David, additional, Mas, Antonio, additional, Cavers, Stephen, additional, Gray, Alan, additional, Albet, Audrey, additional, Alía, Ricardo, additional, Ambrosio, Olivier, additional, Aravanopoulos, Filippos, additional, Auñón, Francisco, additional, Avanzi, Camilla, additional, Avramidou, Evangelia V., additional, Bagnoli, Francesca, additional, Ballesteros, Eduardo, additional, Barbas, Evangelos, additional, Bastien, Catherine, additional, Bernier, Frédéric, additional, Bignalet, Henry, additional, Bouic, Damien, additional, Brunetto, William, additional, Buchovska, Jurata, additional, Cabanillas‐Saldaña, Ana M., additional, Cheval, Nicolas, additional, Climent, José M., additional, Correard, Marianne, additional, Cremer, Eva, additional, Danusevičius, Darius, additional, Dauphin, Benjamin, additional, Del Caño, Fernando, additional, Denou, Jean‐Luc, additional, Dokhelar, Bernard, additional, Dourthe, Rémi, additional, Farsakoglou, Anna‐Maria, additional, Fera, Andreas, additional, Fonti, Patrick, additional, Ganopoulos, Ioannis, additional, García del Barrio, José M., additional, Gilg, Olivier, additional, González‐Martínez, Santiago C., additional, Graf, René, additional, Grivet, Delphine, additional, Gugerli, Felix, additional, Hartleitner, Christoph, additional, Heer, Katrin, additional, Hollenbach, Enja, additional, Hurel, Agathe, additional, Issehuth, Bernard, additional, Jean, Florence, additional, Jorge, Veronique, additional, Jouineau, Arnaud, additional, Kappner, Jan‐Philipp, additional, Kärkkäinen, Katri, additional, Kesälahti, Robert, additional, Knutzen, Florian, additional, Kujala, Sonja T., additional, Kumpula, Timo, additional, Labriola, Mariaceleste, additional, Lalanne, Celine, additional, Lambertz, Johannes, additional, Lascoux, Martin, additional, Le Provost, Gregoire, additional, Liesebach, Mirko, additional, Malliarou, Ermioni, additional, Marchon, Jérémy, additional, Mariotte, Nicolas, additional, Martínez‐Sancho, Elisabet, additional, Matesanz, Silvia, additional, Meischner, Helge, additional, Michotey, Célia, additional, Milesi, Pascal, additional, Morganti, Sandro, additional, Myking, Tor, additional, Nilsen, Anne E., additional, Notivol, Eduardo, additional, Opgenoorth, Lars, additional, Østreng, Geir, additional, Pakull, Birte, additional, Piotti, Andrea, additional, Plomion, Christophe, additional, Poinot, Nicolas, additional, Pringarbe, Mehdi, additional, Puzos, Luc, additional, Pyhäjärvi, Tanja, additional, Raffin, Annie, additional, Ramírez‐Valiente, José A., additional, Rellstab, Christian, additional, Richter, Sebastian, additional, Robledo‐Arnuncio, Juan J., additional, San Segundo, Sergio, additional, Savolainen, Outi, additional, Schneck, Volker, additional, Schueler, Silvio, additional, Scotti, Ivan, additional, Semerikov, Vladimir, additional, Henrik Sønstebø, Jørn, additional, Spanu, Ilaria, additional, Thevenet, Jean, additional, Tollefsrud, Mari Mette, additional, Turion, Norbert, additional, Vendramin, Giovanni Giuseppe, additional, Villar, Marc, additional, Westin, Johan, additional, Fady, Bruno, additional, and Valladares, Fernando, additional

Published
2021
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5. The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species.

Author

Opgenoorth L, Dauphin B, Benavides R, Heer K, Alizoti P, Martínez-Sancho E, Alía R, Ambrosio O, Audrey A, Auñón F, Avanzi C, Avramidou E, Bagnoli F, Barbas E, Bastias CC, Bastien C, Ballesteros E, Beffa G, Bernier F, Bignalet H, Bodineau G, Bouic D, Brodbeck S, Brunetto W, Buchovska J, Buy M, Cabanillas-Saldaña AM, Carvalho B, Cheval N, Climent JM, Correard M, Cremer E, Danusevičius D, Del Caño F, Denou JL, di Gerardi N, Dokhelar B, Ducousso A, Eskild Nilsen A, Farsakoglou AM, Fonti P, Ganopoulos I, García Del Barrio JM, Gilg O, González-Martínez SC, Graf R, Gray A, Grivet D, Gugerli F, Hartleitner C, Hollenbach E, Hurel A, Issehut B, Jean F, Jorge V, Jouineau A, Kappner JP, Kärkkäinen K, Kesälahti R, Knutzen F, Kujala ST, Kumpula TA, Labriola M, Lalanne C, Lambertz J, Lascoux M, Lejeune V, Le-Provost G, Levillain J, Liesebach M, López-Quiroga D, Meier B, Malliarou E, Marchon J, Mariotte N, Mas A, Matesanz S, Meischner H, Michotey C, Milesi P, Morganti S, Nievergelt D, Notivol E, Ostreng G, Pakull B, Perry A, Piotti A, Plomion C, Poinot N, Pringarbe M, Puzos L, Pyhäjärvi T, Raffin A, Ramírez-Valiente JA, Rellstab C, Remi D, Richter S, Robledo-Arnuncio JJ, San Segundo S, Savolainen O, Schueler S, Schneck V, Scotti I, Semerikov V, Slámová L, Sønstebø JH, Spanu I, Thevenet J, Tollefsrud MM, Turion N, Vendramin GG, Villar M, von Arx G, Westin J, Fady B, Myking T, Valladares F, Aravanopoulos FA, and Cavers S

Subjects
Forests, Trees, Fagus, Picea, Pinus sylvestris
Abstract

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., (© The Author(s) 2021. Published by Oxford University Press GigaScience.)

Published
2021
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