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.
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 (Europeanblack pine), Pinus pinaster Aiton (maritime pine), Pinus sylvestris L. (Scots pine), Populus nigra L. (Europeanblack 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.
Authors: Andrew J Eckert; Andrew D Bower; Santiago C González-Martínez; Jill L Wegrzyn; Graham Coop; David B Neale Journal: Mol Ecol Date: 2010-08-13 Impact factor: 6.185
Authors: Sam Yeaman; Kathryn A Hodgins; Katie E Lotterhos; Haktan Suren; Simon Nadeau; Jon C Degner; Kristin A Nurkowski; Pia Smets; Tongli Wang; Laura K Gray; Katharina J Liepe; Andreas Hamann; Jason A Holliday; Michael C Whitlock; Loren H Rieseberg; Sally N Aitken Journal: Science Date: 2016-09-23 Impact factor: 47.728
Authors: Dirk Nikolaus Karger; Olaf Conrad; Jürgen Böhner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; Niklaus E Zimmermann; H Peter Linder; Michael Kessler Journal: Sci Data Date: 2017-09-05 Impact factor: 6.444
Authors: Jun Chen; Yoshiaki Tsuda; Michael Stocks; Thomas Källman; Nannan Xu; Katri Kärkkäinen; Tea Huotari; Vladimir L Semerikov; Giovanni G Vendramin; Martin Lascoux Journal: Genetics Date: 2014-05-09 Impact factor: 4.562
Authors: Emmanuelle Eveno; Carmen Collada; M Angeles Guevara; Valérie Léger; Alvaro Soto; Luis Díaz; Patrick Léger; Santiago C González-Martínez; M Teresa Cervera; Christophe Plomion; Pauline H Garnier-Géré Journal: Mol Biol Evol Date: 2007-12-07 Impact factor: 16.240
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 Journal: Sci Data Date: 2020-01-02 Impact factor: 6.444