Linking seed size and number to trait syndromes in trees

Autor: Michal Bogdziewicz, Marie‐Claire Aravena Acuña, Robert Andrus, Davide Ascoli, Yves Bergeron, Daniel Brveiller, Thomas Boivin, Raul Bonal, Thomas Caignard, Maxime Cailleret, Rafael Calama, Sergio Donoso Calderon, J. Julio Camarero, Chia‐Hao Chang‐Yang, Jerome Chave, Francesco Chianucci, Natalie L. Cleavitt, Benoit Courbaud, Andrea Cutini, Thomas Curt, Adrian J. Das, Hendrik Davi, Nicolas Delpierre, Sylvain Delzon, Michael Dietze, Laurent Dormont, William Farfan‐Rios, Catherine A. Gehring, Gregory S. Gilbert, Georg Gratzer, Cathryn H. Greenberg, Arthur Guignabert, Qinfeng Guo, Andrew Hacket‐Pain, Arndt Hampe, Qingmin Han, Kazuhiko Hoshizaki, Ines Ibanez, Jill F. Johnstone, Valentin Journé, Thomas Kitzberger, Johannes M. H. Knops, Georges Kunstler, Richard Kobe, Jonathan G. A. Lageard, Jalene M. LaMontagne, Mateusz Ledwon, Theodor Leininger, Jean‐Marc Limousin, James A. Lutz, Diana Macias, Anders Marell, Eliot J. B. McIntire, Emily Moran, Renzo Motta, Jonathan A. Myers, Thomas A. Nagel, Shoji Naoe, Mahoko Noguchi, Michio Oguro, Hiroko Kurokawa, Jean‐Marc Ourcival, Robert Parmenter, Ignacio M. Perez‐Ramos, Lukasz Piechnik, Tomasz Podgórski, John Poulsen, Tong Qiu, Miranda D. Redmond, Chantal D. Reid, Kyle C. Rodman, Pavel Šamonil, Jan Holik, C. Lane Scher, Harald Schmidt Van Marle, Barbara Seget, Mitsue Shibata, Shubhi Sharma, Miles Silman, Michael A. Steele, Jacob N. Straub, I‐Fang Sun, Samantha Sutton, Jennifer J. Swenson, Peter A. Thomas, Maria Uriarte, Giorgio Vacchiano, Thomas T. Veblen, Boyd Wright, S. Joseph Wright, Thomas G. Whitham, Kai Zhu, Jess K. Zimmerman, Magdalna Zywiec, James S. Clark
Přispěvatelé: National Science Foundation (US), Belmont Forum, NASA Astrobiology Institute (US), Gordon and Betty Moore Foundation, National Science Centre (Poland), Polish National Agency for Academic Exchange, US Forest Service, Narodowe Centrum Nauki (Poland), Bogdziewicz, Michal, Aravena, Marie-Claire, Andrus, Robert, Ascoli, Davide, Bergeron, Yves, Bonal, Raul, Caignard, Thomas, Calama, Rafael, Calderon, Sergio Donoso, Camarero, J Julio, Chang-Yang, Chia-Hao, Cleavitt, Natalie L, Courbaud, Benoit, Curt, Thomas, Davi, Hendrik, Delpierre, Nicolas, Delzon, Sylvain, Dietze, Michael, Dormont, Laurent, Farfan-Rios, William, Gehring, Catherine, Gilbert, Gregory S., Gratzer, Georg, Greenberg, Cathryn H., Guignabert, Arthur, Guo,Qinfeng, Hacket-Pain, Andrew, Hampe, Arndt, Han, Qingmin, Hoshizaki, Kazuhiko, Ibáñez, Inés, Johnstone, Jill F., Journé, Valentin, Kitzberger, Thomas, Knops, Johannes M. H., Kunstler, Georges, Kobe, Richard K., Lageard, Jonathan G. A., LaMontagne, Jalene M., Ledwon, Mateusz, Leininger, Theodor, Limousin, Jean-Marc, Lutz, James A., Moran, Emily, Motta, Renzo, Myers, Jonathan A., Nagel, Thomas A., Shoji, N., Michio Oguro, Mahoko Noguchi, Ourcival, Jean-Marc, Parmenter, Robert, Perez-Ramos, Ignacio M., Piechnik, Lukasz, Poulsen, John, Qiu, Tong, Redmond, Miranda D., Reid, Chantal D., Rodman, Kyle C., Scher, C. Lane, Seget, Barbara, Silman, Miles, Sun, I-Fang, Sutton, Samantha, Swenson, Jennifer J., Thomas, Peter A., Uriarte, Maria, Vacchiano, Giorgio, Veblen, Thomas T., Wright, Boyd, Wright, S. Joseph, Zhu, Kai, Zimmerman, Jess K., Zywiec, Magdalena, Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centro Austral de Investigaciones Científicas [Ushuaia] (CADIC), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Ecosystèmes forestiers (UR EFNO), Università degli studi di Torino = University of Turin (UNITO), Université du Québec en Abitibi-Témiscamingue (UQAT), AgroParisTech, Ecologie des Forêts Méditerranéennes (URFM), Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Universidad de Chili / Departamento de Ciencias de la Computation, Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), National Kaohsiung Marine University [Taïwan] (NKMU), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science [Ithaca], Cornell University [New York], Centro di Viticoltura ed Enologia [CREA], Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), California Sciences Institute, Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Boston University [Boston] (BU), 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)-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, 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)-Université de Montpellier (UM), Saint Louis University (SLU), Northern Arizona University [Flagstaff], University of California (UC), Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), USDA Agricultural Research Service [Maricopa, AZ] (USDA), United States Department of Agriculture (USDA), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Liverpool, Forestry and Forest Products Research Institute (FFPRI), Akita University, University of Michigan [Dearborn], University of Michigan System, Nicholas School of the Environment, Duke University [Durham], Alabama Space Grant ConsortiumAIST16-0052AIST18-0063Belmont Forum1854976Polish National Agency for Academic Exchange (NAWA)PPN/BEK/2020/1/00009/U/00001National Science Centre, Poland2019/35/D/NZ8/00050National Science Foundation (NSF)DEB- 1754443, ANR-18-MPGA-0004,FORBIC,Prévision du changement de la biodiversité(2018)
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Global Ecology and Biogeography
Global Ecology and Biogeography, 2023, ⟨10.1111/geb.13652⟩
Global Ecology and Biogeography, vol 32, iss 5
ISSN: 1466-822X
DOI: 10.1111/geb.13652⟩
Popis: 12 páginas.- 4 figuras.- referencias.- Additional supporting information can be found online in the Supporting Information section at the end of this article.- Full Access in https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13652
Aim Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off. Location Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia. Time period 1960–2022. Major taxa studied Trees. Methods We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum. Results Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions. Main conclusions Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The connection of SSP with the functional traits can form the first basis of improved fecundity prediction across global forests.
The project has been funded by grants to J.S.C. from the National Science Foundation, most re-cently DEB-1754443, and by the Belmont Forum (1854976), NASA (AIST16-0052 and AIST18-0063) and the Programme d'Investissement d'Avenir under project FORBIC (18-MPGA-0004; Make Our Planet Great Again). Jerry Franklin's data remain acces-sible through NSF LTER DEB-1440409. Data from Hubbard Brook (New Hampshire) were funded through NSF-LTER. Puerto Rico data were funded by NSF grants, most recently DEB 0963447 and LTREB 11222325. Data from the Andes Biodiversity and Ecosystem Research Group were funded by the Gordon and Betty Moore Foundation and NSF 727 LTREB 1754647. M.B. was supported by grant no. 2019/35/D/NZ8/00050 from the (Polish) National Science Centre and by Polish National Agency for Academic Exchange Bekker programme PPN/BEK/2020/1/00009/U/00001. Research by the USDA Forest Service and the USGS was funded by these agencies. Any use of trade, firm or product names does not imply endorsement by the US Government. Any use of trade, firm, or product names is for descriptive purposes only and does not imply en -dorsement by the U.S. Government
Databáze: OpenAIRE
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