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1. Global patterns and environmental drivers of forest functional composition

Author

Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., Paquette, A., Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., and Paquette, A.

Abstract

Aim To determine the relationships between the functional trait composition of forest communities and environmental gradients across scales and biomes and the role of species relative abundances in these relationships. Location Global. Time period Recent. Major taxa studied Trees. Methods We integrated species abundance records from worldwide forest inventories and associated functional traits (wood density, specific leaf area and seed mass) to obtain a data set of 99,953 to 149,285 plots (depending on the trait) spanning all forested continents. We computed community-weighted and unweighted means of trait values for each plot and related them to three broad environmental gradients and their interactions (energy availability, precipitation and soil properties) at two scales (global and biomes). Results Our models explained up to 60% of the variance in trait distribution. At global scale, the energy gradient had the strongest influence on traits. However, within-biome models revealed different relationships among biomes. Notably, the functional composition of tropical forests was more influenced by precipitation and soil properties than energy availability, whereas temperate forests showed the opposite pattern. Depending on the trait studied, response to gradients was more variable and proportionally weaker in boreal forests. Community unweighted means were better predicted than weighted means for almost all models. Main conclusions Worldwide, trees require a large amount of energy (following latitude) to produce dense wood and seeds, while leaves with large surface to weight ratios are concentrated in temperate forests. However, patterns of functional composition within-biome differ from global patterns due to biome specificities such as the presence of conifers or unique combinations of climatic and soil properties. We recommend assessing the sensitivity of tree functional traits to environmental changes in their geographic context. Furthermore, at a given site, th

Published
2024
Full Text
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2. Global patterns and environmental drivers of forest functional composition

Author

Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., Paquette, A., Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., and Paquette, A.

Abstract

Aim To determine the relationships between the functional trait composition of forest communities and environmental gradients across scales and biomes and the role of species relative abundances in these relationships. Location Global. Time period Recent. Major taxa studied Trees. Methods We integrated species abundance records from worldwide forest inventories and associated functional traits (wood density, specific leaf area and seed mass) to obtain a data set of 99,953 to 149,285 plots (depending on the trait) spanning all forested continents. We computed community-weighted and unweighted means of trait values for each plot and related them to three broad environmental gradients and their interactions (energy availability, precipitation and soil properties) at two scales (global and biomes). Results Our models explained up to 60% of the variance in trait distribution. At global scale, the energy gradient had the strongest influence on traits. However, within-biome models revealed different relationships among biomes. Notably, the functional composition of tropical forests was more influenced by precipitation and soil properties than energy availability, whereas temperate forests showed the opposite pattern. Depending on the trait studied, response to gradients was more variable and proportionally weaker in boreal forests. Community unweighted means were better predicted than weighted means for almost all models. Main conclusions Worldwide, trees require a large amount of energy (following latitude) to produce dense wood and seeds, while leaves with large surface to weight ratios are concentrated in temperate forests. However, patterns of functional composition within-biome differ from global patterns due to biome specificities such as the presence of conifers or unique combinations of climatic and soil properties. We recommend assessing the sensitivity of tree functional traits to environmental changes in their geographic context. Furthermore, at a given site, th

Published
2024
Full Text
View/download PDF

3. Global patterns and environmental drivers of forest functional composition

Author

Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., Paquette, A., Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., and Paquette, A.

Abstract

Aim To determine the relationships between the functional trait composition of forest communities and environmental gradients across scales and biomes and the role of species relative abundances in these relationships. Location Global. Time period Recent. Major taxa studied Trees. Methods We integrated species abundance records from worldwide forest inventories and associated functional traits (wood density, specific leaf area and seed mass) to obtain a data set of 99,953 to 149,285 plots (depending on the trait) spanning all forested continents. We computed community-weighted and unweighted means of trait values for each plot and related them to three broad environmental gradients and their interactions (energy availability, precipitation and soil properties) at two scales (global and biomes). Results Our models explained up to 60% of the variance in trait distribution. At global scale, the energy gradient had the strongest influence on traits. However, within-biome models revealed different relationships among biomes. Notably, the functional composition of tropical forests was more influenced by precipitation and soil properties than energy availability, whereas temperate forests showed the opposite pattern. Depending on the trait studied, response to gradients was more variable and proportionally weaker in boreal forests. Community unweighted means were better predicted than weighted means for almost all models. Main conclusions Worldwide, trees require a large amount of energy (following latitude) to produce dense wood and seeds, while leaves with large surface to weight ratios are concentrated in temperate forests. However, patterns of functional composition within-biome differ from global patterns due to biome specificities such as the presence of conifers or unique combinations of climatic and soil properties. We recommend assessing the sensitivity of tree functional traits to environmental changes in their geographic context. Furthermore, at a given site, th

Published
2024
Full Text
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4. Evenness mediates the global relationship between forest productivity and richness

Author

Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., Crowther, T., Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., and Crowther, T.

Abstract

1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explain

Published
2023
Full Text
View/download PDF

5. Evenness mediates the global relationship between forest productivity and richness

Author

Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., Crowther, T., Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., and Crowther, T.

Abstract

1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explain

Published
2023
Full Text
View/download PDF

6. Evenness mediates the global relationship between forest productivity and richness

Author

Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., Crowther, T., Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., and Crowther, T.

Abstract

1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explain

Published
2023
Full Text
View/download PDF

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