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1. Leaf-level coordination principles propagate to the ecosystem scale.

Author

Gomarasca, Ulisse, Migliavacca, Mirco, Kattge, Jens, Nelson, Jacob, Niinemets, Ülo, Wirth, Christian, Cescatti, Alessandro, Bahn, Michael, Nair, Richard, Acosta, Alicia, Arain, M, Beloiu, Mirela, Black, T, Bruun, Hans, Bucher, Solveig, Buchmann, Nina, Byun, Chaeho, Carrara, Arnaud, Conte, Adriano, da Silva, Ana, Duveiller, Gregory, Fares, Silvano, Ibrom, Andreas, Knohl, Alexander, Komac, Benjamin, Limousin, Jean-Marc, Lusk, Christopher, Mahecha, Miguel, Martini, David, Minden, Vanessa, Montagnani, Leonardo, Mori, Akira, Onoda, Yusuke, Peñuelas, Josep, Perez-Priego, Oscar, Poschlod, Peter, Powell, Thomas, Reich, Peter, Šigut, Ladislav, van Bodegom, Peter, Walther, Sophia, Wohlfahrt, Georg, Wright, Ian, and Reichstein, Markus

Subjects
Ecosystem, Plants, Climate Change, Plant Leaves, Phenotype
Abstract

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.

Published
2023

3. Global beta-diversity of angiosperm trees is shaped by Quaternary climate change

Author

Xu, Wu-Bing, Guo, Wen-Yong, Serra-Diaz, Josep M, Schrodt, Franziska, Eiserhardt, Wolf L, Enquist, Brian J, Maitner, Brian S, Merow, Cory, Violle, Cyrille, Anand, Madhur, Belluau, Michaël, Bruun, Hans Henrik, Byun, Chaeho, Catford, Jane A, Cerabolini, Bruno EL, Chacón-Madrigal, Eduardo, Ciccarelli, Daniela, Cornelissen, J Hans C, Dang-Le, Anh Tuan, de Frutos, Angel, Dias, Arildo S, Giroldo, Aelton B, Gutiérrez, Alvaro G, Hattingh, Wesley, He, Tianhua, Hietz, Peter, Hough-Snee, Nate, Jansen, Steven, Kattge, Jens, Komac, Benjamin, Kraft, Nathan JB, Kramer, Koen, Lavorel, Sandra, Lusk, Christopher H, Martin, Adam R, Ma, Ke-Ping, Mencuccini, Maurizio, Michaletz, Sean T, Minden, Vanessa, Mori, Akira S, Niinemets, Ülo, Onoda, Yusuke, Onstein, Renske E, Peñuelas, Josep, Pillar, Valério D, Pisek, Jan, Pound, Matthew J, Robroek, Bjorn JM, Schamp, Brandon, Slot, Martijn, Sun, Miao, Sosinski, Ênio E, Soudzilovskaia, Nadejda A, Thiffault, Nelson, van Bodegom, Peter M, van der Plas, Fons, Zheng, Jingming, Svenning, Jens-Christian, and Ordonez, Alejandro

Subjects
Life Below Water, Climate Action, Humans, Phylogeny, Magnoliopsida, Climate Change, Biodiversity
Abstract

As Earth's climate has varied strongly through geological time, studying the impacts of past climate change on biodiversity helps to understand the risks from future climate change. However, it remains unclear how paleoclimate shapes spatial variation in biodiversity. Here, we assessed the influence of Quaternary climate change on spatial dissimilarity in taxonomic, phylogenetic, and functional composition among neighboring 200-kilometer cells (beta-diversity) for angiosperm trees worldwide. We found that larger glacial-interglacial temperature change was strongly associated with lower spatial turnover (species replacements) and higher nestedness (richness changes) components of beta-diversity across all three biodiversity facets. Moreover, phylogenetic and functional turnover was lower and nestedness higher than random expectations based on taxonomic beta-diversity in regions that experienced large temperature change, reflecting phylogenetically and functionally selective processes in species replacement, extinction, and colonization during glacial-interglacial oscillations. Our results suggest that future human-driven climate change could cause local homogenization and reduction in taxonomic, phylogenetic, and functional diversity of angiosperm trees worldwide.

Published
2023

4. The global spectrum of plant form and function: enhanced species-level trait dataset.

Author

Díaz, Sandra, Kattge, Jens, Cornelissen, Johannes HC, Wright, Ian J, Lavorel, Sandra, Dray, Stéphane, Reu, Björn, Kleyer, Michael, Wirth, Christian, Prentice, I Colin, Garnier, Eric, Bönisch, Gerhard, Westoby, Mark, Poorter, Hendrik, Reich, Peter B, Moles, Angela T, Dickie, John, Zanne, Amy E, Chave, Jérôme, Wright, S Joseph, Sheremetiev, Serge N, Jactel, Hervé, Baraloto, Christopher, Cerabolini, Bruno EL, Pierce, Simon, Shipley, Bill, Casanoves, Fernando, Joswig, Julia S, Günther, Angela, Falczuk, Valeria, Rüger, Nadja, Mahecha, Miguel D, Gorné, Lucas D, Amiaud, Bernard, Atkin, Owen K, Bahn, Michael, Baldocchi, Dennis, Beckmann, Michael, Blonder, Benjamin, Bond, William, Bond-Lamberty, Ben, Brown, Kerry, Burrascano, Sabina, Byun, Chaeho, Campetella, Giandiego, Cavender-Bares, Jeannine, Chapin, F Stuart, Choat, Brendan, Coomes, David Anthony, Cornwell, William K, Craine, Joseph, Craven, Dylan, Dainese, Matteo, de Araujo, Alessandro Carioca, de Vries, Franciska T, Domingues, Tomas Ferreira, Enquist, Brian J, Fagúndez, Jaime, Fang, Jingyun, Fernández-Méndez, Fernando, Fernandez-Piedade, Maria T, Ford, Henry, Forey, Estelle, Freschet, Gregoire T, Gachet, Sophie, Gallagher, Rachael, Green, Walton, Guerin, Greg R, Gutiérrez, Alvaro G, Harrison, Sandy P, Hattingh, Wesley Neil, He, Tianhua, Hickler, Thomas, Higgins, Steven I, Higuchi, Pedro, Ilic, Jugo, Jackson, Robert B, Jalili, Adel, Jansen, Steven, Koike, Fumito, König, Christian, Kraft, Nathan, Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kurokawa, Hiroko, Lamb, Eric G, Laughlin, Daniel C, Leishman, Michelle, Lewis, Simon, Louault, Frédérique, Malhado, Ana CM, Manning, Peter, Meir, Patrick, Mencuccini, Maurizio, Messier, Julie, Miller, Regis, Minden, Vanessa, Molofsky, Jane, and Montgomery, Rebecca

Abstract

Here we provide the 'Global Spectrum of Plant Form and Function Dataset', containing species mean values for six vascular plant traits. Together, these traits -plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass - define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.

Published
2022

5. Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

Author

Dechant, Benjamin, Kattge, Jens, Pavlick, Ryan, Schneider, Fabian D., Sabatini, Francesco M., Moreno-Martínez, Álvaro, Butler, Ethan E., van Bodegom, Peter M., Vallicrosa, Helena, Kattenborn, Teja, Boonman, Coline C.F., Madani, Nima, Wright, Ian J., Dong, Ning, Feilhauer, Hannes, Peñuelas, Josep, Sardans, Jordi, Aguirre-Gutiérrez, Jesús, Reich, Peter B., Leitão, Pedro J., Cavender-Bares, Jeannine, Myers-Smith, Isla H., Durán, Sandra M., Croft, Holly, Prentice, I. Colin, Huth, Andreas, Rebel, Karin, Zaehle, Sönke, Šímová, Irena, Díaz, Sandra, Reichstein, Markus, Schiller, Christopher, Bruelheide, Helge, Mahecha, Miguel, Wirth, Christian, Malhi, Yadvinder, and Townsend, Philip A.

Published
2024
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7. High exposure of global tree diversity to human pressure

Author

Guo, Wen-Yong, Serra-Diaz, Josep M, Schrodt, Franziska, Eiserhardt, Wolf L, Maitner, Brian S, Merow, Cory, Violle, Cyrille, Anand, Madhur, Belluau, Michaël, Bruun, Hans Henrik, Byun, Chaeho, Catford, Jane A, Cerabolini, Bruno EL, Chacón-Madrigal, Eduardo, Ciccarelli, Daniela, Cornelissen, J Hans C, Dang-Le, Anh Tuan, de Frutos, Angel, Dias, Arildo S, Giroldo, Aelton B, Guo, Kun, Gutiérrez, Alvaro G, Hattingh, Wesley, He, Tianhua, Hietz, Peter, Hough-Snee, Nate, Jansen, Steven, Kattge, Jens, Klein, Tamir, Komac, Benjamin, Kraft, Nathan JB, Kramer, Koen, Lavorel, Sandra, Lusk, Christopher H, Martin, Adam R, Mencuccini, Maurizio, Michaletz, Sean T, Minden, Vanessa, Mori, Akira S, Niinemets, Ülo, Onoda, Yusuke, Peñuelas, Josep, Pillar, Valério D, Pisek, Jan, Robroek, Bjorn JM, Schamp, Brandon, Slot, Martijn, Sosinski, Ênio Egon, Soudzilovskaia, Nadejda A, Thiffault, Nelson, van Bodegom, Peter, van der Plas, Fons, Wright, Ian J, Xu, Wu-Bing, Zheng, Jingming, Enquist, Brian J, and Svenning, Jens-Christian

Subjects
Life on Land, Anthropogenic Effects, Biodiversity, Conservation of Natural Resources, Ecosystem, Humans, Phylogeny, Trees, biodiversity, conservation frameworks, land use, protected areas, tree species
Abstract

Safeguarding Earth's tree diversity is a conservation priority due to the importance of trees for biodiversity and ecosystem functions and services such as carbon sequestration. Here, we improve the foundation for effective conservation of global tree diversity by analyzing a recently developed database of tree species covering 46,752 species. We quantify range protection and anthropogenic pressures for each species and develop conservation priorities across taxonomic, phylogenetic, and functional diversity dimensions. We also assess the effectiveness of several influential proposed conservation prioritization frameworks to protect the top 17% and top 50% of tree priority areas. We find that an average of 50.2% of a tree species' range occurs in 110-km grid cells without any protected areas (PAs), with 6,377 small-range tree species fully unprotected, and that 83% of tree species experience nonnegligible human pressure across their range on average. Protecting high-priority areas for the top 17% and 50% priority thresholds would increase the average protected proportion of each tree species' range to 65.5% and 82.6%, respectively, leaving many fewer species (2,151 and 2,010) completely unprotected. The priority areas identified for trees match well to the Global 200 Ecoregions framework, revealing that priority areas for trees would in large part also optimize protection for terrestrial biodiversity overall. Based on range estimates for >46,000 tree species, our findings show that a large proportion of tree species receive limited protection by current PAs and are under substantial human pressure. Improved protection of biodiversity overall would also strongly benefit global tree diversity.

Published
2022

8. Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

Author

Pos, Edwin, de Souza Coelho, Luiz, de Andrade Lima Filho, Diogenes, Salomão, Rafael P., Amaral, Iêda Leão, de Almeida Matos, Francisca Dionízia, Castilho, Carolina V., Phillips, Oliver L., Guevara, Juan Ernesto, de Jesus Veiga Carim, Marcelo, López, Dairon Cárdenas, Magnusson, William E., Wittmann, Florian, Irume, Mariana Victória, Martins, Maria Pires, Sabatier, Daniel, da Silva Guimarães, José Renan, Molino, Jean-François, Bánki, Olaf S., Piedade, Maria Teresa Fernandez, Pitman, Nigel C. A., Mendoza, Abel Monteagudo, Ramos, José Ferreira, Hawes, Joseph E., Almeida, Everton José, Barbosa, Luciane Ferreira, Cavalheiro, Larissa, dos Santos, Márcia Cléia Vilela, Luize, Bruno Garcia, de Leão Novo, Evlyn Márcia Moraes, Vargas, Percy Núñez, Silva, Thiago Sanna Freire, Venticinque, Eduardo Martins, Manzatto, Angelo Gilberto, Reis, Neidiane Farias Costa, Terborgh, John, Casula, Katia Regina, Coronado, Euridice N. Honorio, Montero, Juan Carlos, Marimon, Beatriz S., Marimon-Junior, Ben Hur, Feldpausch, Ted R., Duque, Alvaro, Baraloto, Chris, Arboleda, Nicolás Castaño, Engel, Julien, Petronelli, Pascal, Zartman, Charles Eugene, Killeen, Timothy J., Vasquez, Rodolfo, Mostacedo, Bonifacio, Assis, Rafael L., Schöngart, Jochen, Castellanos, Hernán, de Medeiros, Marcelo Brilhante, Simon, Marcelo Fragomeni, Andrade, Ana, Camargo, José Luís, Demarchi, Layon O., Laurance, William F., Laurance, Susan G. W., de Sousa Farias, Emanuelle, Lopes, Maria Aparecida, Magalhães, José Leonardo Lima, Nascimento, Henrique Eduardo Mendonça, de Queiroz, Helder Lima, Aymard, Gerardo A. C., Brienen, Roel, Revilla, Juan David Cardenas, Costa, Flávia R. C., Quaresma, Adriano, Vieira, Ima Célia Guimarães, Cintra, Bruno Barçante Ladvocat, Stevenson, Pablo R., Feitosa, Yuri Oliveira, Duivenvoorden, Joost F., Mogollón, Hugo F., Ferreira, Leandro Valle, Comiskey, James A., Draper, Freddie, de Toledo, José Julio, Damasco, Gabriel, Dávila, Nállarett, García-Villacorta, Roosevelt, Lopes, Aline, Vicentini, Alberto, Noronha, Janaína Costa, Barbosa, Flávia Rodrigues, de Sá Carpanedo, Rainiellen, Emilio, Thaise, Levis, Carolina, de Jesus Rodrigues, Domingos, Schietti, Juliana, Souza, Priscila, Alonso, Alfonso, Dallmeier, Francisco, Gomes, Vitor H. F., Lloyd, Jon, Neill, David, de Aguiar, Daniel Praia Portela, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Carvalho, Fernanda Antunes, de Souza, Fernanda Coelho, do Amaral, Dário Dantas, Feeley, Kenneth J., Gribel, Rogerio, Pansonato, Marcelo Petratti, Barlow, Jos, Berenguer, Erika, Ferreira, Joice, Fine, Paul V. A., Guedes, Marcelino Carneiro, Jimenez, Eliana M., Licona, Juan Carlos, Mora, Maria Cristina Peñuela, Peres, Carlos A., Zegarra, Boris Eduardo Villa, Cerón, Carlos, Henkel, Terry W., Maas, Paul, Silveira, Marcos, Stropp, Juliana, Thomas-Caesar, Raquel, Baker, Tim R., Daly, Doug, Dexter, Kyle G., Householder, John Ethan, Huamantupa-Chuquimaco, Isau, Pennington, Toby, Paredes, Marcos Ríos, Fuentes, Alfredo, Pena, José Luis Marcelo, Silman, Miles R., Tello, J. Sebastián, Chave, Jerome, Valverde, Fernando Cornejo, Di Fiore, Anthony, Hilário, Renato Richard, Phillips, Juan Fernando, Rivas-Torres, Gonzalo, van Andel, Tinde R., von Hildebrand, Patricio, Barbosa, Edelcilio Marques, de Matos Bonates, Luiz Carlos, Doza, Hilda Paulette Dávila, Fonty, Émile, Gómez, Ricardo Zárate, Gonzales, Therany, Gonzales, George Pepe Gallardo, Guillaumet, Jean-Louis, Hoffman, Bruce, Junqueira, André Braga, Malhi, Yadvinder, de Andrade Miranda, Ires Paula, Pinto, Linder Felipe Mozombite, Prieto, Adriana, Rudas, Agustín, Ruschel, Ademir R., Silva, Natalino, Vela, César I. A., Vos, Vincent Antoine, Zent, Egleé L., Zent, Stanford, Albuquerque, Bianca Weiss, Cano, Angela, Correa, Diego F., Costa, Janaina Barbosa Pedrosa, Flores, Bernardo Monteiro, Holmgren, Milena, Nascimento, Marcelo Trindade, Oliveira, Alexandre A., Ramirez-Angulo, Hirma, Rocha, Maira, Scudeller, Veridiana Vizoni, Sierra, Rodrigo, Tirado, Milton, Umaña, Maria Natalia, van der Heijden, Geertje, Torre, Emilio Vilanova, Vriesendorp, Corine, Wang, Ophelia, Young, Kenneth R., Reategui, Manuel Augusto Ahuite, Baider, Cláudia, Balslev, Henrik, Cárdenas, Sasha, Casas, Luisa Fernanda, Farfan-Rios, William, Ferreira, Cid, Linares-Palomino, Reynaldo, Mendoza, Casimiro, Mesones, Italo, Torres-Lezama, Armando, Giraldo, Ligia Estela Urrego, Villarroel, Daniel, Zagt, Roderick, Alexiades, Miguel N., Garcia-Cabrera, Karina, Hernandez, Lionel, Milliken, William, Cuenca, Walter Palacios, Pansini, Susamar, Pauletto, Daniela, Arevalo, Freddy Ramirez, Sampaio, Adeilza Felipe, Sandoval, Elvis H. Valderrama, Gamarra, Luis Valenzuela, Boenisch, Gerhard, Kattge, Jens, Kraft, Nathan, Levesley, Aurora, Melgaço, Karina, Pickavance, Georgia, Poorter, Lourens, and ter Steege, Hans

Published
2023
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9. Climate-trait relationships exhibit strong habitat specificity in plant communities across Europe

Author

Kambach, Stephan, Sabatini, Francesco Maria, Attorre, Fabio, Biurrun, Idoia, Boenisch, Gerhard, Bonari, Gianmaria, Čarni, Andraž, Carranza, Maria Laura, Chiarucci, Alessandro, Chytrý, Milan, Dengler, Jürgen, Garbolino, Emmanuel, Golub, Valentin, Güler, Behlül, Jandt, Ute, Jansen, Jan, Jašková, Anni, Jiménez-Alfaro, Borja, Karger, Dirk Nikolaus, Kattge, Jens, Knollová, Ilona, Midolo, Gabriele, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Rašomavičius, Valerijus, Rūsiņa, Solvita, Šibík, Jozef, Stančić, Zvjezdana, Stanisci, Angela, Svenning, Jens-Christian, Yamalov, Sergey, Zimmermann, Niklaus E., and Bruelheide, Helge

Published
2023
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10. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation.

Author

Joswig, Julia, Wirth, Christian, Schuman, Meredith, Kattge, Jens, Reu, Björn, Wright, Ian, Sippel, Sebastian, Rüger, Nadja, Richter, Ronny, Schaepman, Michael, van Bodegom, Peter, Cornelissen, J, Díaz, Sandra, Hattingh, Wesley, Kramer, Koen, Lens, Frederic, Niinemets, Ülo, Reich, Peter, Reichstein, Markus, Römermann, Christine, Schrodt, Franziska, Anand, Madhur, Bahn, Michael, Byun, Chaeho, Campetella, Giandiego, Cerabolini, Bruno, Craine, Joseph, Gonzalez-Melo, Andres, Gutiérrez, Alvaro, He, Tianhua, Higuchi, Pedro, Jactel, Hervé, Kraft, Nathan, Minden, Vanessa, Onipchenko, Vladimir, Peñuelas, Josep, Pillar, Valério, Sosinski, Ênio, Soudzilovskaia, Nadejda, Weiher, Evan, and Mahecha, Miguel

Subjects
Ecosystem, Phenotype, Plant Leaves, Plants, Soil
Abstract

Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land-climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential. The orthogonality of these two axes suggests they are differently influenced by environmental drivers. We find that these axes persist in a global dataset of 17 traits across more than 20,000 species. We find a dominant joint effect of climate and soil on trait variation. Additional independent climate effects are also observed across most traits, whereas independent soil effects are almost exclusively observed for economics traits. Variation in size traits correlates well with a latitudinal gradient related to water or energy limitation. In contrast, variation in economics traits is better explained by interactions of climate with soil fertility. These findings have the potential to improve our understanding of biodiversity patterns and our predictions of climate change impacts on biogeochemical cycles.

Published
2022

11. Long-term leaf C:N ratio change under elevated CO2 and nitrogen deposition in China: Evidence from observations and process-based modeling

Author

Sheng, Mingyang, Tang, Jinyun, Yang, Dawen, Fisher, Joshua B, Wang, Han, and Kattge, Jens

Subjects
Agricultural, Veterinary and Food Sciences, Biological Sciences, Ecology, Forestry Sciences, Climate Action, Carbon, Carbon Dioxide, China, Ecosystem, Nitrogen, Plant Leaves, Soil, Leaf C:N ratio, Data-driven modeling, Process-based modeling, Nitrogen deposition, Environmental Sciences
Abstract

Climate change, elevating atmosphere CO2 (eCO2) and increased nitrogen deposition (iNDEP) are altering the biogeochemical interactions between plants, microbes and soils, which further modify plant leaf carbon‑nitrogen (C:N) stoichiometry and their carbon assimilation capability. Many field experiments have observed large sensitivity of leaf C:N ratio to eCO2 and iNDEP. However, the large-scale pattern of this sensitivity is still unclear, because eCO2 and iNDEP drive leaf C:N ratio toward opposite directions, which are further compounded by the complex processes of nitrogen acquisition and plant-and-microbial nitrogen competition. Here, we attempt to map the leaf C:N ratio spatial variation in the past 5 decades in China with a combination of data-driven model and process-based modeling. These two approaches showed consistent results. Over different regions, we found that leaf C:N ratio had significant but uneven changes between 2 time periods (1960-1989 and 1990-2015): a 5% ± 8% increase for temperate grasslands in northern China, a 3% ± 6% increase for boreal grasslands in western China, and by contrast, a 7% ± 6% decrease for temperate forests in southern China, and a 3% ± 5% decrease for boreal forests in northeastern China. Additionally, the structural equation models indicated that the leaf C:N change was sensitive to ΔNDEP, ΔCO2 and ΔMAT rather than ΔMAP and ecosystem types. Process-based modeling suggested that iNDEP was the main source of soil mineral nitrogen change, dominating leaf C:N ratio change in most areas in China, while eCO2 led to leaf C:N ratio increase in low iNDEP area. This study also indicates that the long-term leaf C:N ratio acclimation was dominated by climate constraint, especially temperature, but was constrained by soil N availability over decade scale.

Published
2021

12. The three major axes of terrestrial ecosystem function

Author

Migliavacca, Mirco, Musavi, Talie, Mahecha, Miguel D, Nelson, Jacob A, Knauer, Jürgen, Baldocchi, Dennis D, Perez-Priego, Oscar, Christiansen, Rune, Peters, Jonas, Anderson, Karen, Bahn, Michael, Black, T Andrew, Blanken, Peter D, Bonal, Damien, Buchmann, Nina, Caldararu, Silvia, Carrara, Arnaud, Carvalhais, Nuno, Cescatti, Alessandro, Chen, Jiquan, Cleverly, Jamie, Cremonese, Edoardo, Desai, Ankur R, El-Madany, Tarek S, Farella, Martha M, Fernández-Martínez, Marcos, Filippa, Gianluca, Forkel, Matthias, Galvagno, Marta, Gomarasca, Ulisse, Gough, Christopher M, Göckede, Mathias, Ibrom, Andreas, Ikawa, Hiroki, Janssens, Ivan A, Jung, Martin, Kattge, Jens, Keenan, Trevor F, Knohl, Alexander, Kobayashi, Hideki, Kraemer, Guido, Law, Beverly E, Liddell, Michael J, Ma, Xuanlong, Mammarella, Ivan, Martini, David, Macfarlane, Craig, Matteucci, Giorgio, Montagnani, Leonardo, Pabon-Moreno, Daniel E, Panigada, Cinzia, Papale, Dario, Pendall, Elise, Penuelas, Josep, Phillips, Richard P, Reich, Peter B, Rossini, Micol, Rotenberg, Eyal, Scott, Russell L, Stahl, Clement, Weber, Ulrich, Wohlfahrt, Georg, Wolf, Sebastian, Wright, Ian J, Yakir, Dan, Zaehle, Sönke, and Reichstein, Markus

Subjects
Life on Land, Carbon Cycle, Carbon Dioxide, Climate, Datasets as Topic, Ecosystem, Humidity, Plants, Principal Component Analysis, Water Cycle, General Science & Technology
Abstract

The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability4,5. Here we derive a set of ecosystem functions6 from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems7,8.

Published
2021

13. A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

Author

Moreno-Martinez, Alvaro, Camps-Valls, Gustau, Kattge, Jens, Robinson, Nathaniel, Reichstein, Markus, van Bodegom, Peter, Kramer, Koen, Cornelissen, J. Hans C., Reich, Peter, Bahn, Michael, Niinemets, Ulo, Peñuelas, Josep, Craine, Joseph, Cerabolini, Bruno E. L., Minden, Vanessa, Laughlin, Daniel C., Sack, Lawren, Allred, Brady, Baraloto, Christopher, Byun, Chaeho, Soudzilovskaia, Nadejda A., and Running, Steven W.

Subjects
Statistics - Applications, Physics - Applied Physics
Abstract

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database ($> 45 \% $ of missing entries) and maximize the global representativeness of the trait dataset. Along with the estimated global maps of leaf traits, we provide associated uncertainty estimates derived from the regression models. The process chain is modular, and can easily accommodate new traits, data streams (traits databases and remote sensing data), and methods. The machine learning techniques applied allow attribution of information gain to data input and thus provide the opportunity to understand trait-environment relationships at the plant and ecosystem scales.

Published
2020
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14. A reporting format for leaf-level gas exchange data and metadata

Author

Ely, Kim S, Rogers, Alistair, Agarwal, Deborah A, Ainsworth, Elizabeth A, Albert, Loren P, Ali, Ashehad, Anderson, Jeremiah, Aspinwall, Michael J, Bellasio, Chandra, Bernacchi, Carl, Bonnage, Steve, Buckley, Thomas N, Bunce, James, Burnett, Angela C, Busch, Florian A, Cavanagh, Amanda, Cernusak, Lucas A, Crystal-Ornelas, Robert, Damerow, Joan, Davidson, Kenneth J, De Kauwe, Martin G, Dietze, Michael C, Domingues, Tomas F, Dusenge, Mirindi Eric, Ellsworth, David S, Evans, John R, Gauthier, Paul PG, Gimenez, Bruno O, Gordon, Elizabeth P, Gough, Christopher M, Halbritter, Aud H, Hanson, David T, Heskel, Mary, Hogan, J Aaron, Hupp, Jason R, Jardine, Kolby, Kattge, Jens, Keenan, Trevor, Kromdijk, Johannes, Kumarathunge, Dushan P, Lamour, Julien, Leakey, Andrew DB, LeBauer, David S, Li, Qianyu, Lundgren, Marjorie R, McDowell, Nate, Meacham-Hensold, Katherine, Medlyn, Belinda E, Moore, David JP, Negrón-Juárez, Robinson, Niinemets, Ülo, Osborne, Colin P, Pivovaroff, Alexandria L, Poorter, Hendrik, Reed, Sasha C, Ryu, Youngryel, Sanz-Saez, Alvaro, Schmiege, Stephanie C, Serbin, Shawn P, Sharkey, Thomas D, Slot, Martijn, Smith, Nicholas G, Sonawane, Balasaheb V, South, Paul F, Souza, Daisy C, Stinziano, Joseph Ronald, Stuart-Haëntjens, Ellen, Taylor, Samuel H, Tejera, Mauricio D, Uddling, Johan, Vandvik, Vigdis, Varadharajan, Charuleka, Walker, Anthony P, Walker, Berkley J, Warren, Jeffrey M, Way, Danielle A, Wolfe, Brett T, Wu, Jin, Wullschleger, Stan D, Xu, Chonggang, Yan, Zhengbing, and Yang, Dedi

Subjects
Biological Sciences, Ecology, Data Science, Photosynthesis, Carbon dioxide, Irradiance, Data reporting format, Metadata, Data standard, Information and Computing Sciences, Biological sciences, Information and computing sciences
Abstract

Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of these data using gas analyzers can be both technically challenging and time consuming, and individual studies generally focus on a small range of species, restricted time periods, or limited geographic regions. The high value of these data is exemplified by the many publications that reuse and synthesize gas exchange data, however the lack of metadata and data reporting conventions make full and efficient use of these data difficult. Here we propose a reporting format for leaf-level gas exchange data and metadata to provide guidance to data contributors on how to store data in repositories to maximize their discoverability, facilitate their efficient reuse, and add value to individual datasets. For data users, the reporting format will better allow data repositories to optimize data search and extraction, and more readily integrate similar data into harmonized synthesis products. The reporting format specifies data table variable naming and unit conventions, as well as metadata characterizing experimental conditions and protocols. For common data types that were the focus of this initial version of the reporting format, i.e., survey measurements, dark respiration, carbon dioxide and light response curves, and parameters derived from those measurements, we took a further step of defining required additional data and metadata that would maximize the potential reuse of those data types. To aid data contributors and the development of data ingest tools by data repositories we provided a translation table comparing the outputs of common gas exchange instruments. Extensive consultation with data collectors, data users, instrument manufacturers, and data scientists was undertaken in order to ensure that the reporting format met community needs. The reporting format presented here is intended to form a foundation for future development that will incorporate additional data types and variables as gas exchange systems and measurement approaches advance in the future. The reporting format is published in the U.S. Department of Energy's ESS-DIVE data repository, with documentation and future development efforts being maintained in a version control system.

Published
2021

16. Publisher Correction: Open Science principles for accelerating trait-based science across the Tree of Life

Author

Gallagher, Rachael V, Falster, Daniel S, Maitner, Brian S, Salguero-Gómez, Roberto, Vandvik, Vigdis, Pearse, William D, Schneider, Florian D, Kattge, Jens, Poelen, Jorrit H, Madin, Joshua S, Ankenbrand, Markus J, Penone, Caterina, Feng, Xiao, Adams, Vanessa M, Alroy, John, Andrew, Samuel C, Balk, Meghan A, Bland, Lucie M, Boyle, Brad L, Bravo-Avila, Catherine H, Brennan, Ian, Carthey, Alexandra JR, Catullo, Renee, Cavazos, Brittany R, Conde, Dalia A, Chown, Steven L, Fadrique, Belen, Gibb, Heloise, Halbritter, Aud H, Hammock, Jennifer, Hogan, J Aaron, Holewa, Hamish, Hope, Michael, Iversen, Colleen M, Jochum, Malte, Kearney, Michael, Keller, Alexander, Mabee, Paula, Manning, Peter, McCormack, Luke, Michaletz, Sean T, Park, Daniel S, Perez, Timothy M, Pineda-Munoz, Silvia, Ray, Courtenay A, Rossetto, Maurizio, Sauquet, Hervé, Sparrow, Benjamin, Spasojevic, Marko J, Telford, Richard J, Tobias, Joseph A, Violle, Cyrille, Walls, Ramona, Weiss, Katherine CB, Westoby, Mark, Wright, Ian J, and Enquist, Brian J

Subjects
Biological Sciences, Environmental Management, Ecology, Evolutionary Biology, Environmental Sciences, Evolutionary biology, Environmental management
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

17. Open Science principles for accelerating trait-based science across the Tree of Life

Author

Gallagher, Rachael V, Falster, Daniel S, Maitner, Brian S, Salguero-Gómez, Roberto, Vandvik, Vigdis, Pearse, William D, Schneider, Florian D, Kattge, Jens, Poelen, Jorrit H, Madin, Joshua S, Ankenbrand, Markus J, Penone, Caterina, Feng, Xiao, Adams, Vanessa M, Alroy, John, Andrew, Samuel C, Balk, Meghan A, Bland, Lucie M, Boyle, Brad L, Bravo-Avila, Catherine H, Brennan, Ian, Carthey, Alexandra JR, Catullo, Renee, Cavazos, Brittany R, Conde, Dalia A, Chown, Steven L, Fadrique, Belen, Gibb, Heloise, Halbritter, Aud H, Hammock, Jennifer, Hogan, J Aaron, Holewa, Hamish, Hope, Michael, Iversen, Colleen M, Jochum, Malte, Kearney, Michael, Keller, Alexander, Mabee, Paula, Manning, Peter, McCormack, Luke, Michaletz, Sean T, Park, Daniel S, Perez, Timothy M, Pineda-Munoz, Silvia, Ray, Courtenay A, Rossetto, Maurizio, Sauquet, Hervé, Sparrow, Benjamin, Spasojevic, Marko J, Telford, Richard J, Tobias, Joseph A, Violle, Cyrille, Walls, Ramona, Weiss, Katherine CB, Westoby, Mark, Wright, Ian J, and Enquist, Brian J

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Environmental Sciences, Networking and Information Technology R&D (NITRD), Generic health relevance, Biodiversity, Biological Evolution, Ecology, Phenotype, Research, Evolutionary biology, Environmental management
Abstract

Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly. Yet accessing and integrating disparate data sources remains a considerable challenge, slowing progress toward a global synthesis to integrate trait data across organisms. Trait science needs a vision for achieving global integration across all organisms. Here, we outline how the adoption of key Open Science principles-open data, open source and open methods-is transforming trait science, increasing transparency, democratizing access and accelerating global synthesis. To enhance widespread adoption of these principles, we introduce the Open Traits Network (OTN), a global, decentralized community welcoming all researchers and institutions pursuing the collaborative goal of standardizing and integrating trait data across organisms. We demonstrate how adherence to Open Science principles is key to the OTN community and outline five activities that can accelerate the synthesis of trait data across the Tree of Life, thereby facilitating rapid advances to address scientific inquiries and environmental issues. Lessons learned along the path to a global synthesis of trait data will provide a framework for addressing similarly complex data science and informatics challenges.

Published
2020

18. TRY plant trait database – enhanced coverage and open access

Author

Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert DA, Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia TR, Adamidis, George C, Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H, Alcántara, Julio M, C, Carolina Alcázar, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M, Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimarães, Ashman, Tia‐Lynn, Asmara, Degi Harja, Asner, Gregory P, Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup‐Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J, Bakker, Jan P, Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R, Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo‐Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Carlucci, Marcos Bergmann, Berner, Logan, Bernhardt‐Römermann, Markus, Bigler, Christof, Bjorkman, Anne D, Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra‐González, Kelly T, Boeckx, Pascal, Bohlman, Stephanie, Böhning‐Gaese, Katrin, Boisvert‐Marsh, Laura, Bond, William, Bond‐Lamberty, Ben, Boom, Arnoud, Boonman, Coline CF, Bordin, Kauane, Boughton, Elizabeth H, Boukili, Vanessa, Bowman, David MJS, Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R, Brown, Kerry A, Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W, Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E, and Bürger, Jana

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Access to Information, Biodiversity, Ecosystem, Plants, data coverage, data integration, data representativeness, functional diversity, plant traits, TRY plant trait database, Nutrient Network, Biological sciences, Earth sciences, Environmental sciences
Abstract

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

Published
2020

20. The importance of trait selection in ecology

Author

Weigelt, Alexandra, Mommer, Liesje, Andraczek, Karl, Iversen, Colleen M., Bergmann, Joana, Bruelheide, Helge, Freschet, Grégoire T., Guerrero-Ramírez, Nathaly R., Kattge, Jens, Kuyper, Thom W., Laughlin, Daniel C., Meier, Ina C., van der Plas, Fons, Poorter, Hendrik, Roumet, Catherine, van Ruijven, Jasper, Sabatini, Francesco Maria, Semchenko, Marina, Sweeney, Christopher J., Valverde-Barrantes, Oscar J., York, Larry M., and McCormack, M. Luke

Published
2023
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21. Global photosynthetic capacity is optimized to the environment

Author

Smith, Nicholas G, Keenan, Trevor F, Prentice, I Colin, Wang, Han, Wright, Ian J, Niinemets, Ülo, Crous, Kristine Y, Domingues, Tomas F, Guerrieri, Rossella, Ishida, F Yoko, Kattge, Jens, Kruger, Eric L, Maire, Vincent, Rogers, Alistair, Serbin, Shawn P, Tarvainen, Lasse, Togashi, Henrique F, Townsend, Philip A, Wang, Meng, Weerasinghe, Lasantha K, and Zhou, Shuang‐Xi

Subjects
Plant Biology, Biological Sciences, Ecology, Climate Action, Acclimatization, Adaptation, Physiological, Carbon Dioxide, Nitrogen, Photosynthesis, Plant Leaves, Ribulose-Bisphosphate Carboxylase, Carbon cycle, Carboxylation, coordination, ecophysiology, electron transport, Jmax, light availability, nitrogen availability, temperature, V-cmax, Vcmax, Ecological Applications, Evolutionary Biology, Ecological applications, Environmental management
Abstract

Earth system models (ESMs) use photosynthetic capacity, indexed by the maximum Rubisco carboxylation rate (Vcmax ), to simulate carbon assimilation and typically rely on empirical estimates, including an assumed dependence on leaf nitrogen determined from soil fertility. In contrast, new theory, based on biochemical coordination and co-optimization of carboxylation and water costs for photosynthesis, suggests that optimal Vcmax can be predicted from climate alone, irrespective of soil fertility. Here, we develop this theory and find it captures 64% of observed variability in a global, field-measured Vcmax dataset for C3 plants. Soil fertility indices explained substantially less variation (32%). These results indicate that environmentally regulated biophysical constraints and light availability are the first-order drivers of global photosynthetic capacity. Through acclimation and adaptation, plants efficiently utilize resources at the leaf level, thus maximizing potential resource use for growth and reproduction. Our theory offers a robust strategy for dynamically predicting photosynthetic capacity in ESMs.

Published
2019

22. Plant functional trait change across a warming tundra biome

Author

Bjorkman, Anne D, Myers-Smith, Isla H, Elmendorf, Sarah C, Normand, Signe, Rüger, Nadja, Beck, Pieter SA, Blach-Overgaard, Anne, Blok, Daan, Cornelissen, J Hans C, Forbes, Bruce C, Georges, Damien, Goetz, Scott J, Guay, Kevin C, Henry, Gregory HR, HilleRisLambers, Janneke, Hollister, Robert D, Karger, Dirk N, Kattge, Jens, Manning, Peter, Prevéy, Janet S, Rixen, Christian, Schaepman-Strub, Gabriela, Thomas, Haydn JD, Vellend, Mark, Wilmking, Martin, Wipf, Sonja, Carbognani, Michele, Hermanutz, Luise, Lévesque, Esther, Molau, Ulf, Petraglia, Alessandro, Soudzilovskaia, Nadejda A, Spasojevic, Marko J, Tomaselli, Marcello, Vowles, Tage, Alatalo, Juha M, Alexander, Heather D, Anadon-Rosell, Alba, Angers-Blondin, Sandra, Beest, Mariska te, Berner, Logan, Björk, Robert G, Buchwal, Agata, Buras, Allan, Christie, Katherine, Cooper, Elisabeth J, Dullinger, Stefan, Elberling, Bo, Eskelinen, Anu, Frei, Esther R, Grau, Oriol, Grogan, Paul, Hallinger, Martin, Harper, Karen A, Heijmans, Monique MPD, Hudson, James, Hülber, Karl, Iturrate-Garcia, Maitane, Iversen, Colleen M, Jaroszynska, Francesca, Johnstone, Jill F, Jørgensen, Rasmus Halfdan, Kaarlejärvi, Elina, Klady, Rebecca, Kuleza, Sara, Kulonen, Aino, Lamarque, Laurent J, Lantz, Trevor, Little, Chelsea J, Speed, James DM, Michelsen, Anders, Milbau, Ann, Nabe-Nielsen, Jacob, Nielsen, Sigrid Schøler, Ninot, Josep M, Oberbauer, Steven F, Olofsson, Johan, Onipchenko, Vladimir G, Rumpf, Sabine B, Semenchuk, Philipp, Shetti, Rohan, Collier, Laura Siegwart, Street, Lorna E, Suding, Katharine N, Tape, Ken D, Trant, Andrew, Treier, Urs A, Tremblay, Jean-Pierre, Tremblay, Maxime, Venn, Susanna, Weijers, Stef, Zamin, Tara, Boulanger-Lapointe, Noémie, Gould, William A, Hik, David S, Hofgaard, Annika, Jónsdóttir, Ingibjörg S, Jorgenson, Janet, Klein, Julia, and Magnusson, Borgthor

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Climate Action, Biometry, Geographic Mapping, Global Warming, Humidity, Phenotype, Plant Physiological Phenomena, Plants, Soil, Spatio-Temporal Analysis, Temperature, Tundra, Water, General Science & Technology
Abstract

The tundra is warming more rapidly than any other biome on Earth, and the potential ramifications are far-reaching because of global feedback effects between vegetation and climate. A better understanding of how environmental factors shape plant structure and function is crucial for predicting the consequences of environmental change for ecosystem functioning. Here we explore the biome-wide relationships between temperature, moisture and seven key plant functional traits both across space and over three decades of warming at 117 tundra locations. Spatial temperature-trait relationships were generally strong but soil moisture had a marked influence on the strength and direction of these relationships, highlighting the potentially important influence of changes in water availability on future trait shifts in tundra plant communities. Community height increased with warming across all sites over the past three decades, but other traits lagged far behind predicted rates of change. Our findings highlight the challenge of using space-for-time substitution to predict the functional consequences of future warming and suggest that functions that are tied closely to plant height will experience the most rapid change. They also reveal the strength with which environmental factors shape biotic communities at the coldest extremes of the planet and will help to improve projections of functional changes in tundra ecosystems with climate warming.

Published
2018

23. Global relationships in tree functional traits

Author

Maynard, Daniel S., Bialic-Murphy, Lalasia, Zohner, Constantin M., Averill, Colin, van den Hoogen, Johan, Ma, Haozhi, Mo, Lidong, Smith, Gabriel Reuben, Acosta, Alicia T. R., Aubin, Isabelle, Berenguer, Erika, Boonman, Coline C. F., Catford, Jane A., Cerabolini, Bruno E. L., Dias, Arildo S., González-Melo, Andrés, Hietz, Peter, Lusk, Christopher H., Mori, Akira S., Niinemets, Ülo, Pillar, Valério D., Pinho, Bruno X., Rosell, Julieta A., Schurr, Frank M., Sheremetev, Serge N., da Silva, Ana Carolina, Sosinski, Ênio, van Bodegom, Peter M., Weiher, Evan, Bönisch, Gerhard, Kattge, Jens, and Crowther, Thomas W.

Published
2022
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24. CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide.

Author

Komatsu, Kimberly J., Avolio, Meghan L., Padullés Cubino, Josep, Schrodt, Franziska, Auge, Harald, Cavender-Bares, Jeannine, Clark, Adam T., Flores-Moreno, Habacuc, Grman, Emily, Harpole, W. Stanley, Kattge, Jens, Kimmel, Kaitlin, Koerner, Sally E., Korell, Lotte, Langley, J. Adam, Münkemüller, Tamara, Ohlert, Timothy, Onstein, Renske E., Roscher, Christiane, and Soudzilovskaia, Nadejda A.

Subjects
PLANT species, PLANT communities, SPECIES, GRASSLANDS, VASCULAR plants, ECOSYSTEMS
Abstract

In our changing world, understanding plant community responses to global change drivers is critical for predicting future ecosystem composition and function. Plant functional traits promise to be a key predictive tool for many ecosystems, including grasslands; however, their use requires both complete plant community and functional trait data. Yet, representation of these data in global databases is sparse, particularly beyond a handful of most used traits and common species. Here we present the CoRRE Trait Data, spanning 17 traits (9 categorical, 8 continuous) anticipated to predict species' responses to global change for 4,079 vascular plant species across 173 plant families present in 390 grassland experiments from around the world. The dataset contains complete categorical trait records for all 4,079 plant species obtained from a comprehensive literature search, as well as nearly complete coverage (99.97%) of imputed continuous trait values for a subset of 2,927 plant species. These data will shed light on mechanisms underlying population, community, and ecosystem responses to global change in grasslands worldwide. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Mapping local and global variability in plant trait distributions

Author

Butler, Ethan E, Datta, Abhirup, Flores-Moreno, Habacuc, Chen, Ming, Wythers, Kirk R, Fazayeli, Farideh, Banerjee, Arindam, Atkin, Owen K, Kattge, Jens, Amiaud, Bernard, Blonder, Benjamin, Boenisch, Gerhard, Bond-Lamberty, Ben, Brown, Kerry A, Byun, Chaeho, Campetella, Giandiego, Cerabolini, Bruno EL, Cornelissen, Johannes HC, Craine, Joseph M, Craven, Dylan, de Vries, Franciska T, Díaz, Sandra, Domingues, Tomas F, Forey, Estelle, González-Melo, Andrés, Gross, Nicolas, Han, Wenxuan, Hattingh, Wesley N, Hickler, Thomas, Jansen, Steven, Kramer, Koen, Kraft, Nathan JB, Kurokawa, Hiroko, Laughlin, Daniel C, Meir, Patrick, Minden, Vanessa, Niinemets, Ülo, Onoda, Yusuke, Peñuelas, Josep, Read, Quentin, Sack, Lawren, Schamp, Brandon, Soudzilovskaia, Nadejda A, Spasojevic, Marko J, Sosinski, Enio, Thornton, Peter E, Valladares, Fernando, van Bodegom, Peter M, Williams, Mathew, Wirth, Christian, and Reich, Peter B

Subjects
Ecosystem, Environment, Geography, Models, Statistical, Plant Dispersal, Plants, Quantitative Trait, Heritable, Spatial Analysis, plant traits, Bayesian modeling, spatial statistics, global, climate
Abstract

Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been limited to grouping related species into plant functional types (PFTs), with all trait variation in a PFT collapsed into a single mean value that is applied globally. Using the largest global plant trait database and state of the art Bayesian modeling, we created fine-grained global maps of plant trait distributions that can be applied to Earth system models. Focusing on a set of plant traits closely coupled to photosynthesis and foliar respiration-specific leaf area (SLA) and dry mass-based concentrations of leaf nitrogen ([Formula: see text]) and phosphorus ([Formula: see text]), we characterize how traits vary within and among over 50,000 [Formula: see text]-km cells across the entire vegetated land surface. We do this in several ways-without defining the PFT of each grid cell and using 4 or 14 PFTs; each model's predictions are evaluated against out-of-sample data. This endeavor advances prior trait mapping by generating global maps that preserve variability across scales by using modern Bayesian spatial statistical modeling in combination with a database over three times larger than that in previous analyses. Our maps reveal that the most diverse grid cells possess trait variability close to the range of global PFT means.

Published
2017

28. Root traits explain plant species distributions along climatic gradients yet challenge the nature of ecological trade-offs

Author

Laughlin, Daniel C., Mommer, Liesje, Sabatini, Francesco Maria, Bruelheide, Helge, Kuyper, Thom W., McCormack, M. Luke, Bergmann, Joana, Freschet, Grégoire T., Guerrero-Ramírez, Nathaly R., Iversen, Colleen M., Kattge, Jens, Meier, Ina C., Poorter, Hendrik, Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., Valverde-Barrantes, Oscar J., van der Plas, Fons, van Ruijven, Jasper, York, Larry M., Aubin, Isabelle, Burge, Olivia R., Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, Forey, Estelle, Guerin, Greg R., Hérault, Bruno, Jackson, Robert B., Karger, Dirk Nikolaus, Lenoir, Jonathan, Lysenko, Tatiana, Meir, Patrick, Niinemets, Ülo, Ozinga, Wim A., Peñuelas, Josep, Reich, Peter B., Schmidt, Marco, Schrodt, Franziska, Velázquez, Eduardo, and Weigelt, Alexandra

Published
2021
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29. A global trait‐based approach to estimate leaf nitrogen functional allocation from observations

Author

Ghimire, Bardan, Riley, William J, Koven, Charles D, Kattge, Jens, Rogers, Alistair, Reich, Peter B, and Wright, Ian J

Subjects
Agricultural, Veterinary and Food Sciences, Plant Biology, Biological Sciences, Ecology, Models, Biological, Nitrogen, Plant Leaves, Plant Physiological Phenomena, allocation, leaf, nitrogen, photosynthesis, plants, respiration, Rubisco, traits, Environmental Sciences, Agricultural and Veterinary Sciences, Agricultural, veterinary and food sciences, Biological sciences, Environmental sciences
Abstract

Nitrogen is one of the most important nutrients for plant growth and a major constituent of proteins that regulate photosynthetic and respiratory processes. However, a comprehensive global analysis of nitrogen allocation in leaves for major processes with respect to different plant functional types (PFTs) is currently lacking. This study integrated observations from global databases with photosynthesis and respiration models to determine plant-functional-type-specific allocation patterns of leaf nitrogen for photosynthesis (Rubisco, electron transport, light absorption) and respiration (growth and maintenance), and by difference from observed total leaf nitrogen, an unexplained "residual" nitrogen pool. Based on our analysis, crops partition the largest fraction of nitrogen to photosynthesis (57%) and respiration (5%) followed by herbaceous plants (44% and 4%). Tropical broadleaf evergreen trees partition the least to photosynthesis (25%) and respiration (2%) followed by needle-leaved evergreen trees (28% and 3%). In trees (especially needle-leaved evergreen and tropical broadleaf evergreen trees) a large fraction (70% and 73%, respectively) of nitrogen was not explained by photosynthetic or respiratory functions. Compared to crops and herbaceous plants, this large residual pool is hypothesized to emerge from larger investments in cell wall proteins, lipids, amino acids, nucleic acid, CO2 fixation proteins (other than Rubisco), secondary compounds, and other proteins. Our estimates are different from previous studies due to differences in methodology and assumptions used in deriving nitrogen allocation estimates. Unlike previous studies, we integrate and infer nitrogen allocation estimates across multiple PFTs, and report substantial differences in nitrogen allocation across different PFTs. The resulting pattern of nitrogen allocation provides insights on mechanisms that operate at a cellular scale within leaves, and can be integrated with ecosystem models to derive emergent properties of ecosystem productivity at local, regional, and global scales.

Published
2017

30. Monitoring plant functional diversity from space.

Author

Jetz, Walter, Cavender-Bares, Jeannine, Pavlick, Ryan, Schimel, David, Davis, Frank W, Asner, Gregory P, Guralnick, Robert, Kattge, Jens, Latimer, Andrew M, Moorcroft, Paul, Schaepman, Michael E, Schildhauer, Mark P, Schneider, Fabian D, Schrodt, Franziska, Stahl, Ulrike, and Ustin, Susan L

Subjects
Plants, Spectrum Analysis, Biodiversity, Extraterrestrial Environment
Published
2016

31. Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

Author

Dechant, Benjamin, primary, Kattge, Jens, additional, Pavlick, Ryan, additional, Schneider, Fabian, additional, Sabatini, Francesco, additional, Moreno-Martinez, Alvaro, additional, Butler, Ethan, additional, van Bodegom, Peter, additional, Vallicrosa, Helena, additional, Kattenborn, Teja, additional, Boonman, Coline, additional, Madani, Nima, additional, Wright, Ian, additional, Dong, Ning, additional, Feilhauer, Hannes, additional, Penuelas, Josep, additional, Sardans, Jordi, additional, Aguirre-Gutierrez, Jesus, additional, Reich, Peter, additional, Leitao, Pedro, additional, Cavender-Bares, Jeannine, additional, Myers-Smith, Isla, additional, Duran, Sandra, additional, Croft, Holly, additional, Prentice, Ian, additional, Huth, Andreas, additional, Rebel, Karin, additional, Zaehle, Sönke, additional, Simova, Irena, additional, Diaz, Sandra, additional, Reichstein, Markus, additional, Schiller, Christopher, additional, Bruehlheide, Helge, additional, Mahecha, Miguel, additional, Wirth, Christian, additional, Malhi, Yadvinder, additional, and Townsend, Philip, additional

Published
2023
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32. The results of biodiversity–ecosystem functioning experiments are realistic

Author

Jochum, Malte, Fischer, Markus, Isbell, Forest, Roscher, Christiane, van der Plas, Fons, Boch, Steffen, Boenisch, Gerhard, Buchmann, Nina, Catford, Jane A., Cavender-Bares, Jeannine, Ebeling, Anne, Eisenhauer, Nico, Gleixner, Gerd, Hölzel, Norbert, Kattge, Jens, Klaus, Valentin H., Kleinebecker, Till, Lange, Markus, Le Provost, Gaëtane, Meyer, Sebastian T., Molina-Venegas, Rafael, Mommer, Liesje, Oelmann, Yvonne, Penone, Caterina, Prati, Daniel, Reich, Peter B., Rindisbacher, Abiel, Schäfer, Deborah, Scheu, Stefan, Schmid, Bernhard, Tilman, David, Tscharntke, Teja, Vogel, Anja, Wagg, Cameron, Weigelt, Alexandra, Weisser, Wolfgang W., Wilcke, Wolfgang, and Manning, Peter

Published
2020
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34. Inferring plant functional diversity from space: the potential of Sentinel-2

Author

Ma, Xuanlong, Mahecha, Miguel D., Migliavacca, Mirco, van der Plas, Fons, Benavides, Raquel, Ratcliffe, Sophia, Kattge, Jens, Richter, Ronny, Musavi, Talie, Baeten, Lander, Barnoaiea, Ionut, Bohn, Friedrich J., Bouriaud, Olivier, Bussotti, Filippo, Coppi, Andrea, Domisch, Timo, Huth, Andreas, Jaroszewicz, Bogdan, Joswig, Julia, Pabon-Moreno, Daniel E., Papale, Dario, Selvi, Federico, Laurin, Gaia Vaglio, Valladares, Fernando, Reichstein, Markus, and Wirth, Christian

Published
2019
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35. Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization

Author

Shan, Hanhuai, Kattge, Jens, Reich, Peter, Banerjee, Arindam, Schrodt, Franziska, and Reichstein, Markus

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Learning, Statistics - Applications
Abstract

Plant traits are a key to understanding and predicting the adaptation of ecosystems to environmental changes, which motivates the TRY project aiming at constructing a global database for plant traits and becoming a standard resource for the ecological community. Despite its unprecedented coverage, a large percentage of missing data substantially constrains joint trait analysis. Meanwhile, the trait data is characterized by the hierarchical phylogenetic structure of the plant kingdom. While factorization based matrix completion techniques have been widely used to address the missing data problem, traditional matrix factorization methods are unable to leverage the phylogenetic structure. We propose hierarchical probabilistic matrix factorization (HPMF), which effectively uses hierarchical phylogenetic information for trait prediction. We demonstrate HPMF's high accuracy, effectiveness of incorporating hierarchical structure and ability to capture trait correlation through experiments., Comment: Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012)

Published
2012

36. A methodology to derive global maps of leaf traits using remote sensing and climate data

Author

Moreno-Martínez, Álvaro, Camps-Valls, Gustau, Kattge, Jens, Robinson, Nathaniel, Reichstein, Markus, van Bodegom, Peter, Kramer, Koen, Cornelissen, J. Hans C., Reich, Peter, Bahn, Michael, Niinemets, Ülo, Peñuelas, Josep, Craine, Joseph M., Cerabolini, Bruno E.L., Minden, Vanessa, Laughlin, Daniel C., Sack, Lawren, Allred, Brady, Baraloto, Christopher, Byun, Chaeho, Soudzilovskaia, Nadejda A., and Running, Steve W.

Published
2018
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37. Linking plant and ecosystem functional biogeography

Author

Reichstein, Markus, Bahn, Michael, Mahecha, Miguel D, Kattge, Jens, and Baldocchi, Dennis D

Subjects
Climate Action, Ecosystem, Models, Biological, Phylogeography, Plant Physiological Phenomena, Plants, biogeochemistry, plant traits, carbon cycle, eddy covariance, FLUXNET
Abstract

Classical biogeographical observations suggest that ecosystems are strongly shaped by climatic constraints in terms of their structure and function. On the other hand, vegetation function feeds back on the climate system via biosphere-atmosphere exchange of matter and energy. Ecosystem-level observations of this exchange reveal very large functional biogeographical variation of climate-relevant ecosystem functional properties related to carbon and water cycles. This variation is explained insufficiently by climate control and a classical plant functional type classification approach. For example, correlations between seasonal carbon-use efficiency and climate or environmental variables remain below 0.6, leaving almost 70% of variance unexplained. We suggest that a substantial part of this unexplained variation of ecosystem functional properties is related to variations in plant and microbial traits. Therefore, to progress with global functional biogeography, we should seek to understand the link between organismic traits and flux-derived ecosystem properties at ecosystem observation sites and the spatial variation of vegetation traits given geoecological covariates. This understanding can be fostered by synergistic use of both data-driven and theory-driven ecological as well as biophysical approaches.

Published
2014

38. Global patterns of tree wood density.

Author

Yang, Hui, Wang, Siyuan, Son, Rackhun, Lee, Hoontaek, Benson, Vitus, Zhang, Weijie, Zhang, Yahai, Zhang, Yuzhen, Kattge, Jens, Boenisch, Gerhard, Schepaschenko, Dmitry, Karaszewski, Zbigniew, Stereńczak, Krzysztof, Moreno‐Martínez, Álvaro, Nabais, Cristina, Birnbaum, Philippe, Vieilledent, Ghislain, Weber, Ulrich, and Carvalhais, Nuno

Subjects
WOOD density, FOREST density, MACHINE learning, THERMAL stresses, CARBON cycle
Abstract

Wood density is a fundamental property related to tree biomechanics and hydraulic function while playing a crucial role in assessing vegetation carbon stocks by linking volumetric retrieval and a mass estimate. This study provides a high‐resolution map of the global distribution of tree wood density at the 0.01° (~1 km) spatial resolution, derived from four decision trees machine learning models using a global database of 28,822 tree‐level wood density measurements. An ensemble of four top‐performing models combined with eight cross‐validation strategies shows great consistency, providing wood density patterns with pronounced spatial heterogeneity. The global pattern shows lower wood density values in northern and northwestern Europe, Canadian forest regions and slightly higher values in Siberia forests, western United States, and southern China. In contrast, tropical regions, especially wet tropical areas, exhibit high wood density. Climatic predictors explain 49%–63% of spatial variations, followed by vegetation characteristics (25%–31%) and edaphic properties (11%–16%). Notably, leaf type (evergreen vs. deciduous) and leaf habit type (broadleaved vs. needleleaved) are the most dominant individual features among all selected predictive covariates. Wood density tends to be higher for angiosperm broadleaf trees compared to gymnosperm needleleaf trees, particularly for evergreen species. The distributions of wood density categorized by leaf types and leaf habit types have good agreement with the features observed in wood density measurements. This global map quantifying wood density distribution can help improve accurate predictions of forest carbon stocks, providing deeper insights into ecosystem functioning and carbon cycling such as forest vulnerability to hydraulic and thermal stresses in the context of future climate change. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Spatial patterns and climate relationships of major plant traits in the New World differ between woody and herbaceous species

Author

Šímová, Irena, Violle, Cyrille, Svenning, Jens-Christian, Kattge, Jens, Engemann, Kristine, Sandel, Brody, Peet, Robert K., Wiser, Susan K., Blonder, Benjamin, McGill, Brian J., Boyle, Brad, Morueta-Holme, Naia, Kraft, Nathan J. B., van Bodegom, Peter M., Gutiérrez, Alvaro G., Bahn, Michael, Ozinga, Wim A., Tószögyová, Anna, and Enquist, Brian J.

Published
2018

45. Global trait–environment relationships of plant communities

Author

Bruelheide, Helge, Dengler, Jürgen, Purschke, Oliver, Lenoir, Jonathan, Jiménez-Alfaro, Borja, Hennekens, Stephan M., Botta-Dukát, Zoltán, Chytrý, Milan, Field, Richard, Jansen, Florian, Kattge, Jens, Pillar, Valério D., Schrodt, Franziska, Mahecha, Miguel D., Peet, Robert K., Sandel, Brody, van Bodegom, Peter, Altman, Jan, Alvarez-Dávila, Esteban, Arfin Khan, Mohammed A. S., Attorre, Fabio, Aubin, Isabelle, Baraloto, Christopher, Barroso, Jorcely G., Bauters, Marijn, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Blonder, Benjamin, Čarni, Andraž, Cayuela, Luis, Černý, Tomáš, Cornelissen, J. Hans C., Craven, Dylan, Dainese, Matteo, Derroire, Géraldine, De Sanctis, Michele, Díaz, Sandra, Doležal, Jiří, Farfan-Rios, William, Feldpausch, Ted R., Fenton, Nicole J., Garnier, Eric, Guerin, Greg R., Gutiérrez, Alvaro G., Haider, Sylvia, Hattab, Tarek, Henry, Greg, Hérault, Bruno, Higuchi, Pedro, Hölzel, Norbert, Homeier, Jürgen, Jentsch, Anke, Jürgens, Norbert, Kącki, Zygmunt, Karger, Dirk N., Kessler, Michael, Kleyer, Michael, Knollová, Ilona, Korolyuk, Andrey Y., Kühn, Ingolf, Laughlin, Daniel C., Lens, Frederic, Loos, Jacqueline, Louault, Frédérique, Lyubenova, Mariyana I., Malhi, Yadvinder, Marcenò, Corrado, Mencuccini, Maurizio, Müller, Jonas V., Munzinger, Jérôme, Myers-Smith, Isla H., Neill, David A., Niinemets, Ülo, Orwin, Kate H., Ozinga, Wim A., Penuelas, Josep, Pérez-Haase, Aaron, Petřík, Petr, Phillips, Oliver L., Pärtel, Meelis, Reich, Peter B., Römermann, Christine, Rodrigues, Arthur V., Sabatini, Francesco Maria, Sardans, Jordi, Schmidt, Marco, Seidler, Gunnar, Silva Espejo, Javier Eduardo, Silveira, Marcos, Smyth, Anita, Sporbert, Maria, Svenning, Jens-Christian, Tang, Zhiyao, Thomas, Raquel, Tsiripidis, Ioannis, Vassilev, Kiril, Violle, Cyrille, Virtanen, Risto, Weiher, Evan, Welk, Erik, Wesche, Karsten, Winter, Marten, Wirth, Christian, and Jandt, Ute

Published
2018
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46. Phylogenetic patterns and phenotypic profiles of the species of plants and mammals farmed for food

Author

Milla, Rubén, Bastida, Jesús M., Turcotte, Martin M., Jones, Glynis, Violle, Cyrille, Osborne, Colin P., Chacón-Labella, Julia, Sosinski, Jr, Ênio E., Kattge, Jens, Laughlin, Daniel C., Forey, Estelle, Minden, Vanessa, Cornelissen, Johannes H. C., Amiaud, Bernard, Kramer, Koen, Boenisch, Gerhard, He, Tianhua, Pillar, Valério D., and Byun, Chaeho

Published
2018
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47. Multiple facets of biodiversity drive the diversity–stability relationship

Author

Craven, Dylan, Eisenhauer, Nico, Pearse, William D., Hautier, Yann, Isbell, Forest, Roscher, Christiane, Bahn, Michael, Beierkuhnlein, Carl, Bönisch, Gerhard, Buchmann, Nina, Byun, Chaeho, Catford, Jane A., Cerabolini, Bruno E. L., Cornelissen, J. Hans C., Craine, Joseph M., De Luca, Enrica, Ebeling, Anne, Griffin, John N., Hector, Andy, Hines, Jes, Jentsch, Anke, Kattge, Jens, Kreyling, Jürgen, Lanta, Vojtech, Lemoine, Nathan, Meyer, Sebastian T., Minden, Vanessa, Onipchenko, Vladimir, Polley, H. Wayne, Reich, Peter B., van Ruijven, Jasper, Schamp, Brandon, Smith, Melinda D., Soudzilovskaia, Nadejda A., Tilman, David, Weigelt, Alexandra, Wilsey, Brian, and Manning, Peter

Published
2018
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48. Towards global data products of Essential Biodiversity Variables on species traits

Author

Kissling, W. Daniel, Walls, Ramona, Bowser, Anne, Jones, Matthew O., Kattge, Jens, Agosti, Donat, Amengual, Josep, Basset, Alberto, van Bodegom, Peter M., Cornelissen, Johannes H. C., Denny, Ellen G., Deudero, Salud, Egloff, Willi, Elmendorf, Sarah C., Alonso García, Enrique, Jones, Katherine D., Jones, Owen R., Lavorel, Sandra, Lear, Dan, Navarro, Laetitia M., Pawar, Samraat, Pirzl, Rebecca, Rüger, Nadja, Sal, Sofia, Salguero-Gómez, Roberto, Schigel, Dmitry, Schulz, Katja-Sabine, Skidmore, Andrew, and Guralnick, Robert P.

Published
2018
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49. Predicting habitat affinities of plant species using commonly measured functional traits

Author

Shipley, Bill, Belluau, Michael, Kühn, Ingolf, Soudzilovskaia, Nadejda A., Bahn, Michael, Penuelas, Josep, Kattge, Jens, Sack, Lawren, Cavender-Bares, Jeannine, Ozinga, Wim A., Blonder, Benjamin, van Bodegom, Peter M., Manning, Peter, Hickler, Thomas, Sosinski, Enio, De Patta Pillar, Valério, Onipchenko, Vladimir, and Poschlod, Peter

Published
2017

50. Plant community structure and nitrogen inputs modulate the climate signal on leaf traits

Author

Borgy, Benjamin, Violle, Cyrille, Choler, Philippe, Denelle, Pierre, Munoz, François, Kattge, Jens, Lavorel, Sandra, Loranger, Jessy, Amiaud, Bernard, Bahn, Michael, van Bodegom, Peter M., Brisse, Henry, Debarros, Guilhem, Diquelou, Sylvain, Gachet, Sophie, Jolivet, Claudy, Lemauviel-Lavenant, Servane, Mikolajczak, Alexis, Olivier, Jean, Ordoñez, Jenny, de Ruffray, Patrice, Viovy, Nicolas, and Garnier, Eric

Published
2017

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