2023, Articolo in rivista, ENG
Gomarasca U., Migliavacca M., Kattge J., Nelson J.A., Niinemets U., Wirth C., Cescatti A., Bahn M., Nair R., Acosta A.T.R., Altaf Arain M., Beloiu M., Black T.A., Bruun H.H., Bucher S.F., Buchmann N., Byun C., Carrara A., Conte A., da Silva A.C., Duveiller G., Fares S., Ibrom A., Knohl A., Komac B., Limousin J.M., Lusk C.H., Mahecha M.G., Martini D., Minden V., Montagnani L., Mori A.S., Onoda Y., Peñuelas J. , Perez-Priego O., Poschlod P., Powell T.L., Reich P.B., Sigut L., van Bodegom P.M., Walther S., Wohlfahrt G., Wright I.I., Reichstein M.
Fundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories - the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis - are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections.
2021, Articolo in rivista, ENG
Benavides, Raquel; Carvalho, Barbara; Bastias, Cristina C.; Lopez-Quiroga, David; Mas, Antonio; Cavers, Stephen; Gray, Alan; Albet, Audrey; Alia, Ricardo; Ambrosio, Olivier; Aravanopoulos, Filippos; Aunon, Francisco; Avanzi, Camilla; Avramidou, Evangelia V.; Bagnoli, Francesca; Ballesteros, Eduardo; Barbas, Evangelos; Bastien, Catherine; Bernier, Frederic; Bignalet, Henry; Bouic, Damien; Brunetto, William; Buchovska, Jurata; Cabanillas-Saldana, Ana M.; Cheval, Nicolas; Climent, Jose M.; Correard, Marianne; Cremer, Eva; Danusevicius, Darius; Dauphin, Benjamin; Del Cano, Fernando; Denou, Jean-Luc; Dokhelar, Bernard; Dourthe, Remi; Farsakoglou, Anna-Maria; Fera, Andreas; Fonti, Patrick; Ganopoulos, Ioannis; Garcia del Barrio, Jose M.; Gilg, Olivier; Gonzalez-Martinez, Santiago C.; Graf, Rene; Grivet, Delphine; Gugerli, Felix; Hartleitner, Christoph; Heer, Katrin; Hollenbach, Enja; Hurel, Agathe; Issehuth, Bernard; Jean, Florence; Jorge, Veronique; Jouineau, Arnaud; Kappner, Jan-Philipp; Karkkainen, Katri; Kesalahti, Robert; Knutzen, Florian; Kujala, Sonja T.; Kumpula, Timo; Labriola, Mariaceleste; Lalanne, Celine; Lambertz, Johannes; Lascoux, Martin; Le Provost, Gregoire; Liesebach, Mirko; Malliarou, Ermioni; Marchon, Jeremy; Mariotte, Nicolas; Martinez-Sancho, Elisabet; Matesanz, Silvia; Meischner, Helge; Michotey, Celia; Milesi, Pascal; Morganti, Sandro; Myking, Tor; Nilsen, Anne E.; Notivol, Eduardo; Opgenoorth, Lars; ostreng, Geir; Pakull, Birte; Piotti, Andrea; Plomion, Christophe; Poinot, Nicolas; Pringarbe, Mehdi; Puzos, Luc; Pyhajarvi, Tanja; Raffin, Annie; Ramirez-Valiente, Jose A.; Rellstab, Christian; Richter, Sebastian; Robledo-Arnuncio, Juan J.; San Segundo, Sergio; Savolainen, Outi; Schneck, Volker; Schueler, Silvio; Scotti, Ivan; Semerikov, Vladimir; Henrik Sonstebo, Jorn; Spanu, Ilaria; Thevenet, Jean; Tollefsrud, Mari Mette; Turion, Norbert; Vendramin, Giovanni Giuseppe; Villar, Marc; Westin, Johan; Fady, Bruno; Valladares, Fernando
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.
DOI: 10.1111/geb.13239