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3. 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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4. 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

9. The links between wood traits and species demography change during tree development in a lowland tropical rainforest.

Author

González-Melo, Andrés, Posada, Juan Manuel, Beauchêne, Jacques, Lehnebach, Romain, Levionnois, Sébastian, Derroire, Géraldine, and Clair, Bruno

Subjects
WOOD, RAIN forests, SPECIFIC gravity, FOREST dynamics, TREE age, TROPICAL forests
Abstract

One foundational assumption of trait-based ecology is that traits can predict species demography. However, the links between traits and demographic rates are, in general, not as strong as expected. These weak associations may be due to the use of traits that are distantly related to performance, and/or the lack of consideration of size-related variations in both traits and demographic rates. Here, we examined how wood traits were related to demographic rates in 19 tree species from a lowland forest in eastern Amazonia. We measured 11 wood traits (i.e. structural, anatomical and chemical traits) in sapling, juvenile and adult wood; and related them to growth and mortality rates (MR) at different ontogenetic stages. The links between wood traits and demographic rates changed during tree development. At the sapling stage, relative growth rates (RGR) were negatively related to wood specific gravity (WSG) and total parenchyma fractions, while MR decreased with radial parenchyma fractions, but increased with vessel lumen area (V A). Juvenile RGR were unrelated to wood traits, whereas juvenile MR were negatively related to WSG and axial parenchyma fractions. At the adult stage, RGR scaled with V A and wood potassium concentrations. Adult MR were not predicted by any trait. Overall, the strength of the trait-demography associations decreased at later ontogenetic stages. Our results indicate that the associations between traits and demographic rates can change as trees age. Also, wood chemical or anatomical traits may be better predictors of growth and MR than WSG. Our findings are important to expand our knowledge on tree life-history variations and community dynamics in tropical forests, by broadening our understanding on the links between wood traits and demography during tree development. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Corrigendum to “Minding the gap: Range size and economic use drive functional trait data gaps in the Atlantic Forest” [Biol. Conserv., vol. 283 (2023) 1–7, 110087]

Author

Petisco-Souza, Ana Carolina, primary, Brum, Fernanda Thiesen, additional, Marcilio-Silva, Vinícius, additional, Zwiener, Victor P., additional, Zanella, Andressa, additional, Dias, Arildo S., additional, González-Melo, Andrés, additional, Jansen, Steven, additional, Mazzochini, Guilherme G., additional, Niinemets, Ülo, additional, Pillar, Valério D., additional, Sosinski, Enio, additional, Marques, Márcia C.M., additional, and Carlucci, Marcos B., additional

Published
2023
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11. Minding the gap: Range size and economic use drive functional trait data gaps in the Atlantic forest

Author

Petisco-Souza, Ana Carolina, primary, Brum, Fernanda Thiesen, additional, Marcilio-Silva, Vinícius, additional, Zwiener, Victor P., additional, Zanella, Andressa, additional, Dias, Arildo S., additional, González-Melo, Andrés, additional, Jansen, Steven, additional, Mazzochini, Guilherme G., additional, Niinemets, Ülo, additional, Pillar, Valério D., additional, Sosinski, Enio, additional, Marques, Márcia C.M., additional, and Carlucci, Marcos B., additional

Published
2023
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14. Global trade-offs in tree functional traits

Author

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

Published
2021
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16. Minding The Gap: Range Size And Economic Use Drive Functional Trait Data Shortfall In The Atlantic Forest

Author

Petisco-Souza, Ana Carolina, primary, Brum, Fernanda Thiesen, additional, Marcilio-Silva, Vinícius, additional, Zwiener, Victor P., additional, Zanella, Andressa, additional, Dias, Arildo S., additional, González-Melo, Andrés, additional, Jansen, Steven, additional, Mazzochini, Guilherme G., additional, Niinemets, Ülo, additional, Pillar, Valério D., additional, Sosinski, Enio, additional, Marques, Márcia C. M., additional, and Carlucci, Marcos B., additional

Published
2020
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18. Diferenças na produção de frutos de roble Quercus humboldtii Bonpl. nos dois bosques andinos da cordilheira oriental colombiana

Author

González Melo, Andrés and Parrado Rosselli, Ángela

Subjects
producción de semillas, Aluminio, potasio, aluminium, potassium, Andean oak, Patios Altos, potássio, roble andino, produção de sementes, State of Santander, seed production, fósforo, departamento de Santander, phosphorus, roble, Cachalú
Abstract

El conocimiento acerca de los mecanismos de reproducción de las especies de árboles, incluyendo los patrones de producción de frutos y semillas en situaciones naturales, es muy importante para el manejo forestal. Considerando el efecto de los factores abióticos tales como las características del suelo, la humedad y precipitación en la fenología de fructificación de las especies de plantas, se evaluaron los patrones de producción de frutos del roble Quercus humboldtii (Fagaceae) en dos sitios (Cachalú y Patios Altos) de la cordillera oriental en el municipio de Encino, Santander, con condiciones ambientales contrastantes. Durante 5 meses, en los dos bosques, se realizaron seguimientos mensuales de la producción de frutos de 15 individuos en Cachalú y 11 en Patios Altos por medio de trampas ubicadas bajo la copa de los árboles. En cada uno de los sitios se tomaron muestras de suelo a 20 cm para analizar sus propiedades y nutrientes. En general, los árboles de Cachalú presentaron una mayor cantidad de frutos, peso seco y húmedo por individuo y por unidad de área de copa que en Patios Altos. En los dos sitios, la mayor producción por individuo, se presentó entre los meses de abril y mayo, los cuales coinciden con el periodo de mayores lluvias. Se encontraron correlaciones positivas entre la producción de frutos y la precipitación del mes anterior en los dos sitios. Altos contenidos de fósforo (P) y potasio (K) son las principales variables en explicar la alta producción. Mientras que altos contenidos de aluminio (Al) explicaron la baja producción encontrada en Patios Altos. Se discuten estos resultados y su importancia para generar estrategias de manejo de la especie que contemplen la producción de semillas, tales como los programas de restauración y reforestación. Knowledge of mechanisms of tree species reproduction under natural situations including fruit and seed production patterns is very important for forest management strategies. Considering the influence of abiotic factors such as soil characteris tics, humidity and rainfall on fruiting phenology, we studied fruit production patterns of the Andean oak (Quercus humboldtii: Fagaceae) in two forest sites of the Colombian Eastern Cordillera (Cachalú and Patios Altos), under contrasting environmental conditions. At both sites, we monitored monthly fruit production of 15 trees in Cachalú and 11 in Patios Altos using fruit/seed traps placed under the tree crowns. In each site soil cores were extracted below the litter layer 20 cm depth, and soil characteristics and nutrients were analyzed. In general, trees in Cachalú produced more fruits than in Patios Altos, as well as mean fruit mass (wet and dry weight) was significantly higher in Cachalú. At both sites, oak fruiting peaked from April to May, when the highest rainfall occurs. We found positive correlations between fruit production and rainfall one month prior. High phosphorus (P) and potassium (K) were the main variables for explaining the high production. In contrast, high aluminum (Al) contents explained the low production found in Patios Altos. We discuss the importance of including fruit production for oak management strategies, such as restoration and reforestation programs. O conhecimento acerca dos mecanismos de reprodução das espécies de árvores, incluindo os padrões de produção de frutas e sementes em situações naturais, é muito importante para a manipulação florestal. Considerando o efeito dos fatores abióticos tais como as características do solo, a umidade e a precipitação na fenologia de frutificação das espécies de plantas, avaliaram-se os padrões de produção das frutas do roble Quercus humboldtii (Fagaceae) nos dois lugares (Cachalú y Patios Altos) da cordilheira oriental no município de Encino, Santander, com condições ambientais contrastantes. Durante 5 meses, nos dois bosques,se realizaram-se acompanhamentoss mensais da produção das frutas de 15 indivíduos em Cachalú e 11 em Patios Altos por meio de armadilhas localizadas embaixo da copa das árvores.Em cada um dos lugares se tomou amostras do solo a 20cm para analizar suas propriedades e nutrientes. Em geral, as árvores de Cachalú apresentaram uma maior quantidade de frutas, peso seco e úmido por indivíduo e por unidade de área da copa que nos Patios Altos. Nos dois lugares de maior produção por indivíduo, se apresentou entre os meses de abril e maio, os quais coincidem com o período de maiores chuvas. Encontraram-se correlações positivas entre a produção das frutas e a precipitação do mês anterior nos dois lugares. Altos conteúdos de fósforo (P) e potássio (K) são as principais variáveis em explicar a alta produção. Enquanto que os altos conteúdos de alumínio (AL) explicaram a baixa produção encontrada em Patios Altos. Discutiram-se estes resultados e sua importância para gerar estratégias de manipulação das espécies que contemplem a produção de sementes, tais como os programas de restauração e reflorestação.

Published
2010

20. INVERSIÓN DE DATOS MAGNETOTELÚRICOS.

Author

González Melo, Andrés, Muñoz Hidalgo, Edgar, and Rugeles, Alvaro

Subjects
*ESTIMATION theory, *ELECTRIC resistance, *SUBSOILS, *ELECTROMAGNETIC fields, *SURFACE of the earth, *MAGNETOTELLURIC prospecting, *EARTH (Planet)
Abstract

It is a study estimation of electrical resistivity distribution of subsoil was done through electromagnetic field measurements on Earth surface by means of magnetotelluric method. In general form, the task of electrical resistivity calculus implies the resolution of a direct problem which involves the calculation of electromagnetic fields on surface this supposes a pattern of flat soil in N layers which aids to resolve an inverse problem through which electromagnetic data seen on the surface are adopted theoretically to data predicted. The inverse problem is solved to do a language software of Matlab programme. [ABSTRACT FROM AUTHOR]

Published
2006

21. 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 D. A., Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia T. R., Adamidis, George C., Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H., Alcántara, Julio M., Alcázar C, Carolina, 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, Bergmann Carlucci, Marcos, 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 C. F., Bordin, Kauane, Boughton, Elizabeth H., Boukili, Vanessa, Bowman, David M. J. S., 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., Bürger, Jana, Burrascano, Sabina, Burslem, David F. R. P., Butterfield, Bradley J., Byun, Chaeho, Marques, Marcia, Scalon, Marina C., Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, James, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano‐Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A., Cavender‐Bares, Jeannine, Cerabolini, Bruno E. L., Cervellini, Marco, Chacón‐Madrigal, Eduardo, Chapin, Kenneth, Chapin, F. Stuart, Chelli, Stefano, Chen, Si‐Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong‐Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluís, Collins, Courtney G., Conti, Luisa, Coomes, David, Cornelissen, Johannes H. C., Cornwell, William K., Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P. G. M., Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthias, Silva, Ana Carolina, Dahlin, Kyla M., Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang‐Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, Beer, Arend Jacobus, De Frutos, Angel, De Long, Jonathan R., Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicolas, Derroire, Géraldine, Dias, Arildo S., Diaz‐Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G., Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E‐Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, James, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel‐Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F., Fagan, William F., Fagúndez, Jaime, Falster, Daniel S., Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez‐Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J., Flynn, Dan F. B., Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Louis, Frangipani, Marcelo, Frank, Dorothea, Frenette‐Dussault, Cedric, Freschet, Grégoire T., Fry, Ellen L., Fyllas, Nikolaos M., Mazzochini, Guilherme G., Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García‐Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Luis, Gasper, André Luís, Gea‐Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N., Giroldo, Aelton, Glasenhardt, Mary‐Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez‐Akre, Erika, Gonzalez‐Andujar, Jose L., González‐Melo, Andrés, González‐Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A., Gregor, Thomas, Gross, Nicolas, Guerin, Greg R., Günther, Angela, Gutiérrez, Alvaro G., Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P., Hattingh, Wesley, Hawes, Joseph E., He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana‐Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thomas, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L., Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough‐Snee, Nate, Hovstad, Knut Anders, Ichie, Tomoaki, Igić, Boris, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M., Izquierdo, Jordi, Jackson, Robert B., Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M., Jandt, Ute, Jansen, Steven, Jenkins, Thomas, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo‐Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J., Joly, Carlos Alfredo, Jordan, Gregory J., Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R., Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I., Kinlock, Nicole L., Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thomas, Kjøller, Rasmus, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M. H., Kohyama, Takashi, Koike, Fumito, Kollmann, Johannes, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J. B., Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jonas, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean‐Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J., Laughlin, Daniel, Le Bagousse‐Pinguet, Yoann, Maire, Guerric, Roux, Peter C., Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L., Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W., Liebergesell, Mario, Lim, Jun Ying, Lin, Yan‐Shih, Linares, Juan Carlos, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López‐García, Álvaro, Lopez‐Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A., Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mendes, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio‐Silva, Vinicius, Marcon, Eric, Marignani, Michela, Markesteijn, Lars, Martin, Adam, Martínez‐Garza, Cristina, Martínez‐Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, McCarthy, James, McCormack, M. Luke, McCulloh, Katherine, McFadden, Ian R., McGill, Brian J., McPartland, Mara Y., Medeiros, Juliana S., Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P. L., Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T., Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E. D., Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T., Molnár, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A., Monty, Arnaud, Moravcová, Lenka, Moreno‐Martínez, Alvaro, Moretti, Marco, Mori, Akira S., Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D., Müller, Sandra Cristina, Munoz, François, Myers‐Smith, Isla H., Myster, Randall W., Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S., Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly‐Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E., Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E., Ordonez, Jenny C., Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E., Ozinga, Wim A., Pahl, Anna T., Paine, C. E. Timothy, Pakeman, Robin J., Papageorgiou, Aristotelis C., Parfionova, Evgeniya, Pärtel, Meelis, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G., Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Luis, Petisco‐Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L., Pierce, Simon, Pillar, Valério D., Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A. Shafer, Power, Sally A., Prinzing, Andreas, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johannes, Ray, Courtenay A., Reich, Peter B., Reichstein, Markus, Reid, Douglas E. B., Réjou‐Méchain, Maxime, Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C., Riviera, Fiamma, Robert, Elisabeth M. R., Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Vinicius, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A., Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B., Royer‐Tardif, Samuel, Rüger, Nadja, Ruiz‐Peinado, Ricardo, Rumpf, Sabine B., Rusch, Graciela M., Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado‐Negret, Beatriz, Salguero‐Gomez, Roberto, Santa‐Regina, Ignacio, Santacruz‐García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer‐Lorenzen, Michael, Schleuning, Matthias, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V., Schowanek, Simon D., Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C., Sharpe, Joanne M., Sheppard, Christine S., Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlos, Silva, Vasco, Silva, Mateus, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G., Sodhi, Darwin, Soltis, Pamela, Soltis, Douglas, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski, Enio Egon, Soudzilovskaia, Nadejda A., Souza, Alexandre F., Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B., Stegen, James, Steinbauer, Klaus, Stephan, Jörg G., Sterck, Frank, Stojanovic, Dejan B., Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens‐Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E., Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G., Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres‐Ruiz, José M., Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L., Tsiripidis, Ioannis, Tysklind, Niklas, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, Bodegom, Peter M., Breugel, Michiel, Van Cleemput, Elisa, Weg, Martine, Merwe, Stephni, Plas, Fons, Sande, Masha T., Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J., Verbeeck, Hans, Verheyen, Kris, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P., Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, James, Weber, Ulrich, Weedon, James T., Wei, Liping, Weigelt, Patrick, Weiher, Evan, Wells, Aidan W., Wellstein, Camilla, Wenk, Elizabeth, Westoby, Mark, Westwood, Alana, White, Philip John, Whitten, Mark, Williams, Mathew, Winkler, Daniel E., Winter, Klaus, Womack, Chevonne, Wright, Ian J., Wright, S. Joseph, Wright, Justin, Pinho, Bruno X., Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Kátia Janaina, Zanne, Amy E., Zelený, David, Zhao, Yun‐Peng, Zheng, Jingming, Zheng, Ji, Ziemińska, Kasia, Zirbel, Chad R., Zizka, Georg, Zo‐Bi, Irié Casimir, Zotz, Gerhard, and Wirth, Christian

Subjects
2. Zero hunger, food and beverages, 15. Life on land
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.

22. TRY plant trait database - enhanced coverage and open access.

Author

Kattge J, Bönisch G, Díaz S, Lavorel S, Prentice IC, Leadley P, Tautenhahn S, Werner GDA, Aakala T, Abedi M, Acosta ATR, Adamidis GC, Adamson K, Aiba M, Albert CH, Alcántara JM, Alcázar C C, Aleixo I, Ali H, Amiaud B, Ammer C, Amoroso MM, Anand M, Anderson C, Anten N, Antos J, Apgaua DMG, Ashman TL, Asmara DH, Asner GP, Aspinwall M, Atkin O, Aubin I, Baastrup-Spohr L, Bahalkeh K, Bahn M, Baker T, Baker WJ, Bakker JP, Baldocchi D, Baltzer J, Banerjee A, Baranger A, Barlow J, Barneche DR, Baruch Z, Bastianelli D, Battles J, Bauerle W, Bauters M, Bazzato E, Beckmann M, Beeckman H, Beierkuhnlein C, Bekker R, Belfry G, Belluau M, Beloiu M, Benavides R, Benomar L, Berdugo-Lattke ML, Berenguer E, Bergamin R, Bergmann J, Bergmann Carlucci M, Berner L, Bernhardt-Römermann M, Bigler C, Bjorkman AD, Blackman C, Blanco C, Blonder B, Blumenthal D, Bocanegra-González KT, Boeckx P, Bohlman S, Böhning-Gaese K, Boisvert-Marsh L, Bond W, Bond-Lamberty B, Boom A, Boonman CCF, Bordin K, Boughton EH, Boukili V, Bowman DMJS, Bravo S, Brendel MR, Broadley MR, Brown KA, Bruelheide H, Brumnich F, Bruun HH, Bruy D, Buchanan SW, Bucher SF, Buchmann N, Buitenwerf R, Bunker DE, Bürger J, Burrascano S, Burslem DFRP, Butterfield BJ, Byun C, Marques M, Scalon MC, Caccianiga M, Cadotte M, Cailleret M, Camac J, Camarero JJ, Campany C, Campetella G, Campos JA, Cano-Arboleda L, Canullo R, Carbognani M, Carvalho F, Casanoves F, Castagneyrol B, Catford JA, Cavender-Bares J, Cerabolini BEL, Cervellini M, Chacón-Madrigal E, Chapin K, Chapin FS, Chelli S, Chen SC, Chen A, Cherubini P, Chianucci F, Choat B, Chung KS, Chytrý M, Ciccarelli D, Coll L, Collins CG, Conti L, Coomes D, Cornelissen JHC, Cornwell WK, Corona P, Coyea M, Craine J, Craven D, Cromsigt JPGM, Csecserits A, Cufar K, Cuntz M, da Silva AC, Dahlin KM, Dainese M, Dalke I, Dalle Fratte M, Dang-Le AT, Danihelka J, Dannoura M, Dawson S, de Beer AJ, De Frutos A, De Long JR, Dechant B, Delagrange S, Delpierre N, Derroire G, Dias AS, Diaz-Toribio MH, Dimitrakopoulos PG, Dobrowolski M, Doktor D, Dřevojan P, Dong N, Dransfield J, Dressler S, Duarte L, Ducouret E, Dullinger S, Durka W, Duursma R, Dymova O, E-Vojtkó A, Eckstein RL, Ejtehadi H, Elser J, Emilio T, Engemann K, Erfanian MB, Erfmeier A, Esquivel-Muelbert A, Esser G, Estiarte M, Domingues TF, Fagan WF, Fagúndez J, Falster DS, Fan Y, Fang J, Farris E, Fazlioglu F, Feng Y, Fernandez-Mendez F, Ferrara C, Ferreira J, Fidelis A, Finegan B, Firn J, Flowers TJ, Flynn DFB, Fontana V, Forey E, Forgiarini C, François L, Frangipani M, Frank D, Frenette-Dussault C, Freschet GT, Fry EL, Fyllas NM, Mazzochini GG, Gachet S, Gallagher R, Ganade G, Ganga F, García-Palacios P, Gargaglione V, Garnier E, Garrido JL, de Gasper AL, Gea-Izquierdo G, Gibson D, Gillison AN, Giroldo A, Glasenhardt MC, Gleason S, Gliesch M, Goldberg E, Göldel B, Gonzalez-Akre E, Gonzalez-Andujar JL, González-Melo A, González-Robles A, Graae BJ, Granda E, Graves S, Green WA, Gregor T, Gross N, Guerin GR, Günther A, Gutiérrez AG, Haddock L, Haines A, Hall J, Hambuckers A, Han W, Harrison SP, Hattingh W, Hawes JE, He T, He P, Heberling JM, Helm A, Hempel S, Hentschel J, Hérault B, Hereş AM, Herz K, Heuertz M, Hickler T, Hietz P, Higuchi P, Hipp AL, Hirons A, Hock M, Hogan JA, Holl K, Honnay O, Hornstein D, Hou E, Hough-Snee N, Hovstad KA, Ichie T, Igić B, Illa E, Isaac M, Ishihara M, Ivanov L, Ivanova L, Iversen CM, Izquierdo J, Jackson RB, Jackson B, Jactel H, Jagodzinski AM, Jandt U, Jansen S, Jenkins T, Jentsch A, Jespersen JRP, Jiang GF, Johansen JL, Johnson D, Jokela EJ, Joly CA, Jordan GJ, Joseph GS, Junaedi D, Junker RR, Justes E, Kabzems R, Kane J, Kaplan Z, Kattenborn T, Kavelenova L, Kearsley E, Kempel A, Kenzo T, Kerkhoff A, Khalil MI, Kinlock NL, Kissling WD, Kitajima K, Kitzberger T, Kjøller R, Klein T, Kleyer M, Klimešová J, Klipel J, Kloeppel B, Klotz S, Knops JMH, Kohyama T, Koike F, Kollmann J, Komac B, Komatsu K, König C, Kraft NJB, Kramer K, Kreft H, Kühn I, Kumarathunge D, Kuppler J, Kurokawa H, Kurosawa Y, Kuyah S, Laclau JP, Lafleur B, Lallai E, Lamb E, Lamprecht A, Larkin DJ, Laughlin D, Le Bagousse-Pinguet Y, le Maire G, le Roux PC, le Roux E, Lee T, Lens F, Lewis SL, Lhotsky B, Li Y, Li X, Lichstein JW, Liebergesell M, Lim JY, Lin YS, Linares JC, Liu C, Liu D, Liu U, Livingstone S, Llusià J, Lohbeck M, López-García Á, Lopez-Gonzalez G, Lososová Z, Louault F, Lukács BA, Lukeš P, Luo Y, Lussu M, Ma S, Maciel Rabelo Pereira C, Mack M, Maire V, Mäkelä A, Mäkinen H, Malhado ACM, Mallik A, Manning P, Manzoni S, Marchetti Z, Marchino L, Marcilio-Silva V, Marcon E, Marignani M, Markesteijn L, Martin A, Martínez-Garza C, Martínez-Vilalta J, Mašková T, Mason K, Mason N, Massad TJ, Masse J, Mayrose I, McCarthy J, McCormack ML, McCulloh K, McFadden IR, McGill BJ, McPartland MY, Medeiros JS, Medlyn B, Meerts P, Mehrabi Z, Meir P, Melo FPL, Mencuccini M, Meredieu C, Messier J, Mészáros I, Metsaranta J, Michaletz ST, Michelaki C, Migalina S, Milla R, Miller JED, Minden V, Ming R, Mokany K, Moles AT, Molnár A 5th, Molofsky J, Molz M, Montgomery RA, Monty A, Moravcová L, Moreno-Martínez A, Moretti M, Mori AS, Mori S, Morris D, Morrison J, Mucina L, Mueller S, Muir CD, Müller SC, Munoz F, Myers-Smith IH, Myster RW, Nagano M, Naidu S, Narayanan A, Natesan B, Negoita L, Nelson AS, Neuschulz EL, Ni J, Niedrist G, Nieto J, Niinemets Ü, Nolan R, Nottebrock H, Nouvellon Y, Novakovskiy A, Nystuen KO, O'Grady A, O'Hara K, O'Reilly-Nugent A, Oakley S, Oberhuber W, Ohtsuka T, Oliveira R, Öllerer K, Olson ME, Onipchenko V, Onoda Y, Onstein RE, Ordonez JC, Osada N, Ostonen I, Ottaviani G, Otto S, Overbeck GE, Ozinga WA, Pahl AT, Paine CET, Pakeman RJ, Papageorgiou AC, Parfionova E, Pärtel M, Patacca M, Paula S, Paule J, Pauli H, Pausas JG, Peco B, Penuelas J, Perea A, Peri PL, Petisco-Souza AC, Petraglia A, Petritan AM, Phillips OL, Pierce S, Pillar VD, Pisek J, Pomogaybin A, Poorter H, Portsmuth A, Poschlod P, Potvin C, Pounds D, Powell AS, Power SA, Prinzing A, Puglielli G, Pyšek P, Raevel V, Rammig A, Ransijn J, Ray CA, Reich PB, Reichstein M, Reid DEB, Réjou-Méchain M, de Dios VR, Ribeiro S, Richardson S, Riibak K, Rillig MC, Riviera F, Robert EMR, Roberts S, Robroek B, Roddy A, Rodrigues AV, Rogers A, Rollinson E, Rolo V, Römermann C, Ronzhina D, Roscher C, Rosell JA, Rosenfield MF, Rossi C, Roy DB, Royer-Tardif S, Rüger N, Ruiz-Peinado R, Rumpf SB, Rusch GM, Ryo M, Sack L, Saldaña A, Salgado-Negret B, Salguero-Gomez R, Santa-Regina I, Santacruz-García AC, Santos J, Sardans J, Schamp B, Scherer-Lorenzen M, Schleuning M, Schmid B, Schmidt M, Schmitt S, Schneider JV, Schowanek SD, Schrader J, Schrodt F, Schuldt B, Schurr F, Selaya Garvizu G, Semchenko M, Seymour C, Sfair JC, Sharpe JM, Sheppard CS, Sheremetiev S, Shiodera S, Shipley B, Shovon TA, Siebenkäs A, Sierra C, Silva V, Silva M, Sitzia T, Sjöman H, Slot M, Smith NG, Sodhi D, Soltis P, Soltis D, Somers B, Sonnier G, Sørensen MV, Sosinski EE Jr, Soudzilovskaia NA, Souza AF, Spasojevic M, Sperandii MG, Stan AB, Stegen J, Steinbauer K, Stephan JG, Sterck F, Stojanovic DB, Strydom T, Suarez ML, Svenning JC, Svitková I, Svitok M, Svoboda M, Swaine E, Swenson N, Tabarelli M, Takagi K, Tappeiner U, Tarifa R, Tauugourdeau S, Tavsanoglu C, Te Beest M, Tedersoo L, Thiffault N, Thom D, Thomas E, Thompson K, Thornton PE, Thuiller W, Tichý L, Tissue D, Tjoelker MG, Tng DYP, Tobias J, Török P, Tarin T, Torres-Ruiz JM, Tóthmérész B, Treurnicht M, Trivellone V, Trolliet F, Trotsiuk V, Tsakalos JL, Tsiripidis I, Tysklind N, Umehara T, Usoltsev V, Vadeboncoeur M, Vaezi J, Valladares F, Vamosi J, van Bodegom PM, van Breugel M, Van Cleemput E, van de Weg M, van der Merwe S, van der Plas F, van der Sande MT, van Kleunen M, Van Meerbeek K, Vanderwel M, Vanselow KA, Vårhammar A, Varone L, Vasquez Valderrama MY, Vassilev K, Vellend M, Veneklaas EJ, Verbeeck H, Verheyen K, Vibrans A, Vieira I, Villacís J, Violle C, Vivek P, Wagner K, Waldram M, Waldron A, Walker AP, Waller M, Walther G, Wang H, Wang F, Wang W, Watkins H, Watkins J, Weber U, Weedon JT, Wei L, Weigelt P, Weiher E, Wells AW, Wellstein C, Wenk E, Westoby M, Westwood A, White PJ, Whitten M, Williams M, Winkler DE, Winter K, Womack C, Wright IJ, Wright SJ, Wright J, Pinho BX, Ximenes F, Yamada T, Yamaji K, Yanai R, Yankov N, Yguel B, Zanini KJ, Zanne AE, Zelený D, Zhao YP, Zheng J, Zheng J, Ziemińska K, Zirbel CR, Zizka G, Zo-Bi IC, Zotz G, and Wirth C

Subjects
Biodiversity, Ecology, Plants, Access to Information, Ecosystem
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., (© 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2020
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