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1. AusTraits, a curated plant trait database for the Australian flora

Author

Falster, D., Gallagher, R., Wenk, E.H., Wright, I.J., Indiarto, D., Andrew, S.C., Baxter, C., Lawson, J., Allen, S., Fuchs, A., Monro, A., Kar, F., Adams, M.A., Ahrens, C.W., Alfonzetti, M., Angevin, T., Apgaua, D.M.G., Arndt, S., Atkin, O.K., Atkinson, J., Auld, T., Baker, A., von Balthazar, M., Bean, A., Blackman, C.J., Bloomfield, K., Bowman, D.M.J.S., Bragg, J., Brodribb, T. J., Buckton, G., Burrows, G., Caldwell, E., Camac, J., Carpenter, R., Catford, J.A., Cawthray, G.R., Cernusak, L.A., Chandler, G., Chapman, A.R., Cheal, D., Cheesman, A.W., Chen, S-C, Choat, B., Clinton, B., Clode, P.L., Coleman, H., Cornwell, W.K., Cosgrove, M., Crisp, M., Cross, E., Crous, K.Y., Cunningham, S., Curran, T., Curtis, E., Daws, M.I., DeGabriel, J.L., Denton, M.D., Dong, N., Du, P., Duan, H., Duncan, D.H., Duncan, R.P., Duretto, M., Dwyer, J.M., Edwards, C., Esperon-Rodriguez, M., Evans, J.R., Everingham, S.E., Farrell, C., Firn, J., Fonseca, C.R., French, B.J., Frood, D., Funk, J.L., Geange, S.R., Ghannoum, O., Gleason, S.M., Gosper, C.R., Gray, E., Groom, P.K., Grootemaat, S., Gross, C., Guerin, G., Guja, L., Hahs, A.K., Harrison, M.T., Hayes, P.E., Henery, M., Hochuli, D., Howell, J., Huang, G., Hughes, L., Huisman, J., Ilic, J., Jagdish, A., Jin, D., Jordan, G., Jurado, E., Kanowski, J., Kasel, S., Kellermann, J., Kenny, B., Kohout, M., Kooyman, R.M., Kotowska, M.M., Lai, H.R., Laliberté, E., Lambers, H., Lamont, B.B., Lanfear, R., van Langevelde, F., Laughlin, D.C., Laugier-Kitchener, B-A, Laurance, S., Lehmann, C.E.R., Leigh, A., Leishman, M.R., Lenz, T., Lepschi, B., Lewis, J.D., Lim, F., Liu, U., Lord, J., Lusk, C.H., Macinnis-Ng, C., McPherson, H., Magallón, S., Manea, A., López-Martinez, A., Mayfield, M., McCarthy, J.K., Meers, T., van der Merwe, M., Metcalfe, D.J., Milberg, P., Mokany, K., Moles, A.T., Moore, B.D., Moore, N., Morgan, J.W., Morris, W., Muir, A., Munroe, S., Nicholson, Á., Nicolle, D., Nicotra, A.B., Niinemets, Ü., North, T., O’Reilly-Nugent, A., O’Sullivan, O.S., Oberle, B., Onoda, Y., Ooi, M.K.J., Osborne, C.P., Paczkowska, G., Pekin, B., Guilherme Pereira, C., Pickering, C., Pickup, M., Pollock, L.J., Poot, P., Powell, J.R., Power, S.A., Prentice, I.C., Prior, L., Prober, S.M., Read, J., Reynolds, V., Richards, A.E., Richardson, B., Roderick, M.L., Rosell, J.A., Rossetto, M., Rye, B., Rymer, P.D., Sams, M.A., Sanson, G., Sauquet, H., Schmidt, S., Schönenberger, J., Schulze, E-D, Sendall, K., Sinclair, S., Smith, B., Smith, R., Soper, F., Sparrow, B., Standish, R.J., Staples, T.L., Stephens, R., Szota, C., Taseski, G., Tasker, E., Thomas, F., Tissue, D.T., Tjoelker, M.G., Tng, D.Y.P., de Tombeur, F., Tomlinson, K., Turner, N.C., Veneklaas, E.J., Venn, S., Vesk, P., Vlasveld, C., Vorontsova, M.S., Warren, C.A., Warwick, N., Weerasinghe, L.K., Wells, J., Westoby, M., White, M., Williams, N.S.G., Wills, J., Wilson, P.G., Yates, C., Zanne, A.E., Zemunik, G., Ziemińska, K., Falster, D., Gallagher, R., Wenk, E.H., Wright, I.J., Indiarto, D., Andrew, S.C., Baxter, C., Lawson, J., Allen, S., Fuchs, A., Monro, A., Kar, F., Adams, M.A., Ahrens, C.W., Alfonzetti, M., Angevin, T., Apgaua, D.M.G., Arndt, S., Atkin, O.K., Atkinson, J., Auld, T., Baker, A., von Balthazar, M., Bean, A., Blackman, C.J., Bloomfield, K., Bowman, D.M.J.S., Bragg, J., Brodribb, T. J., Buckton, G., Burrows, G., Caldwell, E., Camac, J., Carpenter, R., Catford, J.A., Cawthray, G.R., Cernusak, L.A., Chandler, G., Chapman, A.R., Cheal, D., Cheesman, A.W., Chen, S-C, Choat, B., Clinton, B., Clode, P.L., Coleman, H., Cornwell, W.K., Cosgrove, M., Crisp, M., Cross, E., Crous, K.Y., Cunningham, S., Curran, T., Curtis, E., Daws, M.I., DeGabriel, J.L., Denton, M.D., Dong, N., Du, P., Duan, H., Duncan, D.H., Duncan, R.P., Duretto, M., Dwyer, J.M., Edwards, C., Esperon-Rodriguez, M., Evans, J.R., Everingham, S.E., Farrell, C., Firn, J., Fonseca, C.R., French, B.J., Frood, D., Funk, J.L., Geange, S.R., Ghannoum, O., Gleason, S.M., Gosper, C.R., Gray, E., Groom, P.K., Grootemaat, S., Gross, C., Guerin, G., Guja, L., Hahs, A.K., Harrison, M.T., Hayes, P.E., Henery, M., Hochuli, D., Howell, J., Huang, G., Hughes, L., Huisman, J., Ilic, J., Jagdish, A., Jin, D., Jordan, G., Jurado, E., Kanowski, J., Kasel, S., Kellermann, J., Kenny, B., Kohout, M., Kooyman, R.M., Kotowska, M.M., Lai, H.R., Laliberté, E., Lambers, H., Lamont, B.B., Lanfear, R., van Langevelde, F., Laughlin, D.C., Laugier-Kitchener, B-A, Laurance, S., Lehmann, C.E.R., Leigh, A., Leishman, M.R., Lenz, T., Lepschi, B., Lewis, J.D., Lim, F., Liu, U., Lord, J., Lusk, C.H., Macinnis-Ng, C., McPherson, H., Magallón, S., Manea, A., López-Martinez, A., Mayfield, M., McCarthy, J.K., Meers, T., van der Merwe, M., Metcalfe, D.J., Milberg, P., Mokany, K., Moles, A.T., Moore, B.D., Moore, N., Morgan, J.W., Morris, W., Muir, A., Munroe, S., Nicholson, Á., Nicolle, D., Nicotra, A.B., Niinemets, Ü., North, T., O’Reilly-Nugent, A., O’Sullivan, O.S., Oberle, B., Onoda, Y., Ooi, M.K.J., Osborne, C.P., Paczkowska, G., Pekin, B., Guilherme Pereira, C., Pickering, C., Pickup, M., Pollock, L.J., Poot, P., Powell, J.R., Power, S.A., Prentice, I.C., Prior, L., Prober, S.M., Read, J., Reynolds, V., Richards, A.E., Richardson, B., Roderick, M.L., Rosell, J.A., Rossetto, M., Rye, B., Rymer, P.D., Sams, M.A., Sanson, G., Sauquet, H., Schmidt, S., Schönenberger, J., Schulze, E-D, Sendall, K., Sinclair, S., Smith, B., Smith, R., Soper, F., Sparrow, B., Standish, R.J., Staples, T.L., Stephens, R., Szota, C., Taseski, G., Tasker, E., Thomas, F., Tissue, D.T., Tjoelker, M.G., Tng, D.Y.P., de Tombeur, F., Tomlinson, K., Turner, N.C., Veneklaas, E.J., Venn, S., Vesk, P., Vlasveld, C., Vorontsova, M.S., Warren, C.A., Warwick, N., Weerasinghe, L.K., Wells, J., Westoby, M., White, M., Williams, N.S.G., Wills, J., Wilson, P.G., Yates, C., Zanne, A.E., Zemunik, G., and Ziemińska, K.

Abstract

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge.

Published
2021

2. Global plant trait relationships extend to the climatic extremes of the tundra biome

Author

Thomas, H. J. D., Bjorkman, A. D., Myers-Smith, I. H., Elmendorf, S. C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J. H. C., Forbes, B. C., Henry, G. H. R., Hollister, R. D., Normand, S., Prevey, J. S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W. K., Beck, P. S. A., Georges, D., Goetz, S. J., Guay, K. C., Ruger, N., Soudzilovskaia, N. A., Spasojevic, M. J., Alatalo, J. M., Alexander, H. D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, Mariska, Berner, L. T., Bjoerk, R. G., Buchwal, A., Buras, A., Carbognani, M., Christie, K. S., Collier, L. S., Cooper, E. J., Elberling, B., Eskelinen, A., Frei, E. R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M. M. P. D., Hermanutz, L., Hudson, J. M. G., Johnstone, J. F., Huelber, K., Iturrate-Garcia, M., Iversen, C. M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L. J., Lantz, T. C., Levesque, E., Little, C. J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S. S., Ninot, J. M., Oberbauer, S. F., Olofsson, Johan, Onipchenko, V. G., Petraglia, A., Rumpf, S. B., Shetti, R., Speed, J. D. M., Suding, K. N., Tape, K. D., Tomaselli, M., Trant, A. J., Treier, U. A., Tremblay, M., Venn, S. E., Vowles, T., Weijers, S., Wookey, P. A., Zamin, T. J., Bahn, M., Blonder, B., van Bodegom, P. M., Bond-Lamberty, B., Campetella, G., Cerabolini, B. E. L., Chapin, F. S. , I I I, Craine, J. M., Dainese, M., Green, W. A., Jansen, S., Kleyer, M., Manning, P., Niinemets, U., Onoda, Y., Ozinga, W. A., Penuelas, J., Poschlod, P., Reich, P. B., Sandel, B., Schamp, B. S., Sheremetiev, S. N., de Vries, F. T., Thomas, H. J. D., Bjorkman, A. D., Myers-Smith, I. H., Elmendorf, S. C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J. H. C., Forbes, B. C., Henry, G. H. R., Hollister, R. D., Normand, S., Prevey, J. S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W. K., Beck, P. S. A., Georges, D., Goetz, S. J., Guay, K. C., Ruger, N., Soudzilovskaia, N. A., Spasojevic, M. J., Alatalo, J. M., Alexander, H. D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, Mariska, Berner, L. T., Bjoerk, R. G., Buchwal, A., Buras, A., Carbognani, M., Christie, K. S., Collier, L. S., Cooper, E. J., Elberling, B., Eskelinen, A., Frei, E. R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M. M. P. D., Hermanutz, L., Hudson, J. M. G., Johnstone, J. F., Huelber, K., Iturrate-Garcia, M., Iversen, C. M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L. J., Lantz, T. C., Levesque, E., Little, C. J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S. S., Ninot, J. M., Oberbauer, S. F., Olofsson, Johan, Onipchenko, V. G., Petraglia, A., Rumpf, S. B., Shetti, R., Speed, J. D. M., Suding, K. N., Tape, K. D., Tomaselli, M., Trant, A. J., Treier, U. A., Tremblay, M., Venn, S. E., Vowles, T., Weijers, S., Wookey, P. A., Zamin, T. J., Bahn, M., Blonder, B., van Bodegom, P. M., Bond-Lamberty, B., Campetella, G., Cerabolini, B. E. L., Chapin, F. S. , I I I, Craine, J. M., Dainese, M., Green, W. A., Jansen, S., Kleyer, M., Manning, P., Niinemets, U., Onoda, Y., Ozinga, W. A., Penuelas, J., Poschlod, P., Reich, P. B., Sandel, B., Schamp, B. S., Sheremetiev, S. N., and de Vries, F. T.

Abstract

The majority of variation in six traits critical to the growth, survival and reproduction of plant species is thought to be organised along just two dimensions, corresponding to strategies of plant size and resource acquisition. However, it is unknown whether global plant trait relationships extend to climatic extremes, and if these interspecific relationships are confounded by trait variation within species. We test whether trait relationships extend to the cold extremes of life on Earth using the largest database of tundra plant traits yet compiled. We show that tundra plants demonstrate remarkably similar resource economic traits, but not size traits, compared to global distributions, and exhibit the same two dimensions of trait variation. Three quarters of trait variation occurs among species, mirroring global estimates of interspecific trait variation. Plant trait relationships are thus generalizable to the edge of global trait-space, informing prediction of plant community change in a warming world.

Published
2020
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3. Global plant trait relationships extend to the climatic extremes of the tundra biome

Author

Spatial Ecology and Global Change, Environmental Sciences, Thomas, H. J. D., Bjorkman, A. D., Myers-Smith, I. H., Elmendorf, S. C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J. H. C., Forbes, B. C., Henry, G. H. R., Hollister, R. D., Normand, S., Prevéy, J. S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W. K., Beck, P. S. A., Georges, D., Goetz, S. J., Guay, K. C., Rüger, N., Soudzilovskaia, N. A., Spasojevic, M. J., Alatalo, J. M., Alexander, H. D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L. T., Björk, R. G., Buchwal, A., Buras, A., Carbognani, M., Christie, K. S., Collier, L. S., Cooper, E. J., Elberling, B., Eskelinen, A., Frei, E. R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M. M. P. D., Hermanutz, L., Hudson, J. M. G., Johnstone, J. F., Hülber, K., Iturrate-Garcia, M., Iversen, C. M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L. J., Lantz, T. C., Lévesque, E., Little, C. J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S. S., Ninot, J. M., Oberbauer, S. F., Olofsson, J., Onipchenko, V. G., Petraglia, A., Rumpf, S. B., Shetti, R., Speed, J. D. M., Suding, K. N., Tape, K. D., Tomaselli, M., Trant, A. J., Treier, U. A., Tremblay, M., Venn, S. E., Vowles, T., Weijers, S., Wookey, P. A., Zamin, T. J., Bahn, M., Blonder, B., van Bodegom, P. M., Bond-Lamberty, B., Campetella, G., Cerabolini, B. E. L., Chapin, F. S., Craine, J. M., Dainese, M., Green, W. A., Jansen, S., Kleyer, M., Manning, P., Niinemets, Ü., Onoda, Y., Ozinga, W. A., Peñuelas, J., Poschlod, P., Reich, P. B., Sandel, B., Schamp, B. S., Sheremetiev, S. N., de Vries, F. T., Spatial Ecology and Global Change, Environmental Sciences, Thomas, H. J. D., Bjorkman, A. D., Myers-Smith, I. H., Elmendorf, S. C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J. H. C., Forbes, B. C., Henry, G. H. R., Hollister, R. D., Normand, S., Prevéy, J. S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W. K., Beck, P. S. A., Georges, D., Goetz, S. J., Guay, K. C., Rüger, N., Soudzilovskaia, N. A., Spasojevic, M. J., Alatalo, J. M., Alexander, H. D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L. T., Björk, R. G., Buchwal, A., Buras, A., Carbognani, M., Christie, K. S., Collier, L. S., Cooper, E. J., Elberling, B., Eskelinen, A., Frei, E. R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M. M. P. D., Hermanutz, L., Hudson, J. M. G., Johnstone, J. F., Hülber, K., Iturrate-Garcia, M., Iversen, C. M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L. J., Lantz, T. C., Lévesque, E., Little, C. J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S. S., Ninot, J. M., Oberbauer, S. F., Olofsson, J., Onipchenko, V. G., Petraglia, A., Rumpf, S. B., Shetti, R., Speed, J. D. M., Suding, K. N., Tape, K. D., Tomaselli, M., Trant, A. J., Treier, U. A., Tremblay, M., Venn, S. E., Vowles, T., Weijers, S., Wookey, P. A., Zamin, T. J., Bahn, M., Blonder, B., van Bodegom, P. M., Bond-Lamberty, B., Campetella, G., Cerabolini, B. E. L., Chapin, F. S., Craine, J. M., Dainese, M., Green, W. A., Jansen, S., Kleyer, M., Manning, P., Niinemets, Ü., Onoda, Y., Ozinga, W. A., Peñuelas, J., Poschlod, P., Reich, P. B., Sandel, B., Schamp, B. S., Sheremetiev, S. N., and de Vries, F. T.

Published
2020

4. Global plant trait relationships extend to the climatic extremes of the tundra biome

Author

Thomas, H.J.D., Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Henry, G.H.R., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Beck, P.S.A., Georges, D., Goetz, S.J., Guay, K.C., Rüger, N., Soudzilovskaia, N.A., Spasojevic, M.J., Alatalo, J.M., Alexander, H.D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K.S., Collier, L.S., Cooper, E.J., Elberling, B., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Johnstone, J.F., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L.J., Lantz, T.C., Lévesque, E., Little, C.J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S.S., Ninot, J.M., Oberbauer, S.F., Olofsson, J., Onipchenko, V.G., Petraglia, A., Rumpf, S.B., Shetti, R., Speed, J.D.M., Suding, K.N., Tape, K.D., Tomaselli, M., Trant, A.J., Treier, U.A., Tremblay, M., Venn, S.E., Vowles, T., Weijers, S., Wookey, P.A., Zamin, T.J., Bahn, M., Blonder, B., van Bodegom, P.M., Bond-Lamberty, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Craine, J.M., Dainese, M., Green, W.A., Jansen, S., Kleyer, M., Manning, P., Niinemets, Ü., Onoda, Y., Ozinga, W.A., Peñuelas, J., Poschlod, P., Thomas, H.J.D., Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Henry, G.H.R., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Beck, P.S.A., Georges, D., Goetz, S.J., Guay, K.C., Rüger, N., Soudzilovskaia, N.A., Spasojevic, M.J., Alatalo, J.M., Alexander, H.D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K.S., Collier, L.S., Cooper, E.J., Elberling, B., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Johnstone, J.F., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L.J., Lantz, T.C., Lévesque, E., Little, C.J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S.S., Ninot, J.M., Oberbauer, S.F., Olofsson, J., Onipchenko, V.G., Petraglia, A., Rumpf, S.B., Shetti, R., Speed, J.D.M., Suding, K.N., Tape, K.D., Tomaselli, M., Trant, A.J., Treier, U.A., Tremblay, M., Venn, S.E., Vowles, T., Weijers, S., Wookey, P.A., Zamin, T.J., Bahn, M., Blonder, B., van Bodegom, P.M., Bond-Lamberty, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Craine, J.M., Dainese, M., Green, W.A., Jansen, S., Kleyer, M., Manning, P., Niinemets, Ü., Onoda, Y., Ozinga, W.A., Peñuelas, J., and Poschlod, P.

Abstract

The majority of variation in six traits critical to the growth, survival and reproduction of plant species is thought to be organised along just two dimensions, corresponding to strategies of plant size and resource acquisition. However, it is unknown whether global plant trait relationships extend to climatic extremes, and if these interspecific relationships are confounded by trait variation within species. We test whether trait relationships extend to the cold extremes of life on Earth using the largest database of tundra plant traits yet compiled. We show that tundra plants demonstrate remarkably similar resource economic traits, but not size traits, compared to global distributions, and exhibit the same two dimensions of trait variation. Three quarters of trait variation occurs among species, mirroring global estimates of interspecific trait variation. Plant trait relationships are thus generalizable to the edge of global trait-space, informing prediction of plant community change in a warming world.

Published
2020

5. Plant functional trait change across a warming tundra biome

Author

Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Normand, S., Rüger, N., Beck, P.S.A., Blach-Overgaard, A., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Georges, D., Goetz, S.J., Guay, K.C., Henry, G.H.R., HilleRisLambers, J., Hollister, R.D., Karger, D.N., Kattge, J., Manning, P., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Thomas, H.J.D., Vellend, M., Wilmking, M., Wipf, S., Carbognani, M., Hermanutz, L., Lévesque, E., Molau, U., Petraglia, A., Soudzilovskaia, N.A., Spasojevic, M.J., Tomaselli, M., Vowles, T., Alatalo, J.M., Alexander, H.D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L., Björk, R.G., Buchwal, A., Buras, A., Christie, K., Cooper, E.J., Dullinger, S., Elberling, B., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Harper, K.A., Heijmans, M.M.P.D., Hudson, J., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Johnstone, J.F., Jørgensen, R.H., Kaarlejärvi, E., Klady, R., Kuleza, S., Kulonen, A., Lamarque, L.J., Lantz, T., Little, C.J., Speed, J.D.M., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Schøler Nielsen, S., Ninot, J.M., van Bodegom, P.M., Bond-Lamberty, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Cornwell, W.K., Craine, J., Dainese, M., de Vries, F.T., Díaz, S., Enquist, B.J., Green, W., Milla, R., Niinemets, Ü., Onoda, Y., Ordoñez, J.C., Ozinga, W.A., Penuelas, J., Poorter, H., Poschlod, P., Reich, P.B., Sandel, B., Schamp, B., Sheremetev, S., Weiher, E., Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Normand, S., Rüger, N., Beck, P.S.A., Blach-Overgaard, A., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Georges, D., Goetz, S.J., Guay, K.C., Henry, G.H.R., HilleRisLambers, J., Hollister, R.D., Karger, D.N., Kattge, J., Manning, P., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Thomas, H.J.D., Vellend, M., Wilmking, M., Wipf, S., Carbognani, M., Hermanutz, L., Lévesque, E., Molau, U., Petraglia, A., Soudzilovskaia, N.A., Spasojevic, M.J., Tomaselli, M., Vowles, T., Alatalo, J.M., Alexander, H.D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L., Björk, R.G., Buchwal, A., Buras, A., Christie, K., Cooper, E.J., Dullinger, S., Elberling, B., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Harper, K.A., Heijmans, M.M.P.D., Hudson, J., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Johnstone, J.F., Jørgensen, R.H., Kaarlejärvi, E., Klady, R., Kuleza, S., Kulonen, A., Lamarque, L.J., Lantz, T., Little, C.J., Speed, J.D.M., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Schøler Nielsen, S., Ninot, J.M., van Bodegom, P.M., Bond-Lamberty, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Cornwell, W.K., Craine, J., Dainese, M., de Vries, F.T., Díaz, S., Enquist, B.J., Green, W., Milla, R., Niinemets, Ü., Onoda, Y., Ordoñez, J.C., Ozinga, W.A., Penuelas, J., Poorter, H., Poschlod, P., Reich, P.B., Sandel, B., Schamp, B., Sheremetev, S., and Weiher, E.

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

6. Impact of malnutrition on mortality and neurological recovery of older patients with spinal cord injury.

Author

Tamai K, Terai H, Nakamura H, Yokogawa N, Sasagawa T, Nakashima H, Segi N, Ito S, Funayama T, Eto F, Yamaji A, Watanabe K, Yamane J, Takeda K, Furuya T, Yunde A, Nakajima H, Yamada T, Hasegawa T, Terashima Y, Hirota R, Suzuki H, Imajo Y, Ikegami S, Uehara M, Tonomura H, Sakata M, Hashimoto K, Onoda Y, Kawaguchi K, Haruta Y, Suzuki N, Kato K, Uei H, Sawada H, Nakanishi K, Misaki K, Kuroda A, Inoue G, Kakutani K, Kakiuchi Y, Kiyasu K, Tominaga H, Tokumoto H, Iizuka Y, Takasawa E, Akeda K, Takegami N, Funao H, Oshima Y, Kaito T, Sakai D, Yoshii T, Ohba T, Otsuki B, Seki S, Miyazaki M, Ishihara M, Okada S, Imagama S, and Kato S

Subjects
Humans, Aged, Activities of Daily Living, Retrospective Studies, Nutritional Status, Recovery of Function, Spinal Cord Injuries complications, Spinal Cord Injuries therapy, Malnutrition complications
Abstract

This retrospective cohort study established malnutrition's impact on mortality and neurological recovery of older patients with cervical spinal cord injury (SCI). It included patients aged ≥ 65 years with traumatic cervical SCI treated conservatively or surgically. The Geriatric Nutritional Risk Index was calculated to assess nutritional-related risk. Overall, 789 patients (mean follow-up: 20.1 months) were examined and 47 had major nutritional-related risks on admission. One-year mortality rate, median survival time, neurological recovery, and activities of daily living (ADL) at 1 year post-injury were compared between patients with major nutrition-related risk and matched controls selected using 1:2 propensity score matching to adjust for age, pre-traumatic neurological impairment, and activity. In the Kaplan-Meier analysis, the median survival times were 44.9 and 76.5 months for patients with major nutrition-related risk and matched controls, respectively (p = 0.015). Matched controls had more individuals with a neurological improvement of American Spinal Injury Association Impairment Scale ≥ 1 grade (p = 0.039) and independence in ADL at 1 year post-injury than patients with major nutrition-related risk (p < 0.05). In conclusion, 6% of older patients with cervical SCI had major nutrition-related risks; they showed a significantly higher 1 year mortality rate, shorter survival time, poorer neurological improvement, and lower ADL at 1 year post-injury than matched controls., (© 2024. The Author(s).)

Published
2024
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7. Characteristics of the cervical spine and cervical cord injuries in older adults with cervical ossification of the posterior longitudinal ligament.

Author

Okuwaki S, Funayama T, Koda M, Eto F, Yamaji A, Yokogawa N, Sasagawa T, Ando K, Nakashima H, Segi N, Watanabe K, Nori S, Takeda K, Furuya T, Yunde A, Nakajima H, Yamada T, Hasegawa T, Terashima Y, Hirota R, Suzuki H, Imajo Y, Ikegami S, Uehara M, Tonomura H, Sakata M, Hashimoto K, Onoda Y, Kawaguchi K, Haruta Y, Suzuki N, Kato K, Uei H, Sawada H, Nakanishi K, Misaki K, Terai H, Tamai K, Shirasawa E, Inoue G, Kakutani K, Kakiuchi Y, Kiyasu K, Tominaga H, Tokumoto H, Iizuka Y, Takasawa E, Akeda K, Takegami N, Funao H, Oshima Y, Kaito T, Sakai D, Yoshii T, Ohba T, Otsuki B, Seki S, Miyazaki M, Ishihara M, Okada S, Imagama S, and Kato S

Subjects
Humans, Male, Female, Aged, Longitudinal Ligaments, Retrospective Studies, Osteogenesis, Cervical Vertebrae, Treatment Outcome, Cervical Cord, Spinal Cord Injuries complications, Spinal Cord Injuries epidemiology, Spinal Cord Injuries diagnosis, Ossification of Posterior Longitudinal Ligament complications, Ossification of Posterior Longitudinal Ligament epidemiology, Neck Injuries, Soft Tissue Injuries complications
Abstract

Although the incidence of cervical spinal cord injury (CSCI) with ossification of the posterior longitudinal ligament (OPLL) has increased in older adults, its etiology and neurological outcomes remain unknown. We identified OPLL characteristics and determined whether they influence neurological severity and improvement of CSCI in older patients. This multicenter retrospective cohort study identified 1512 patients aged ≥ 65 years diagnosed with CSCI on admission during 2010-2020. We analyzed CSCI etiology in OPLL patients. We performed propensity score-adjusted analyses to compare neurological outcomes between patients with and without OPLL. Cases were matched based on variables influencing neurological prognosis. The primary neurological outcome was rated according to the American Spine Injury Association (ASIA) impairment scale (AIS) and ASIA motor score (AMS). In 332 OPLL patients, the male-to-female ratio was approximately 4:1. Half of all patients displayed low-energy trauma-induced injury and one-third had CSCI without a bony injury. Propensity score matching created 279 pairs. There was no significant difference in the AIS grade and AMS between patients with and without OPLL during hospitalization, 6 months, and 12 months following injury. OPLL patients tended to exhibit worse neurological findings during injury; nevertheless, OPLL was not associated with poor neurological improvement in older CSCI patients., (© 2023. The Author(s).)

Published
2023
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8. The global spectrum of plant form and function: enhanced species-level trait dataset.

Author

Díaz S, Kattge J, Cornelissen JHC, Wright IJ, Lavorel S, Dray S, Reu B, Kleyer M, Wirth C, Prentice IC, Garnier E, Bönisch G, Westoby M, Poorter H, Reich PB, Moles AT, Dickie J, Zanne AE, Chave J, Wright SJ, Sheremetiev SN, Jactel H, Baraloto C, Cerabolini BEL, Pierce S, Shipley B, Casanoves F, Joswig JS, Günther A, Falczuk V, Rüger N, Mahecha MD, Gorné LD, Amiaud B, Atkin OK, Bahn M, Baldocchi D, Beckmann M, Blonder B, Bond W, Bond-Lamberty B, Brown K, Burrascano S, Byun C, Campetella G, Cavender-Bares J, Chapin FS 3rd, Choat B, Coomes DA, Cornwell WK, Craine J, Craven D, Dainese M, de Araujo AC, de Vries FT, Domingues TF, Enquist BJ, Fagúndez J, Fang J, Fernández-Méndez F, Fernandez-Piedade MT, Ford H, Forey E, Freschet GT, Gachet S, Gallagher R, Green W, Guerin GR, Gutiérrez AG, Harrison SP, Hattingh WN, He T, Hickler T, Higgins SI, Higuchi P, Ilic J, Jackson RB, Jalili A, Jansen S, Koike F, König C, Kraft N, Kramer K, Kreft H, Kühn I, Kurokawa H, Lamb EG, Laughlin DC, Leishman M, Lewis S, Louault F, Malhado ACM, Manning P, Meir P, Mencuccini M, Messier J, Miller R, Minden V, Molofsky J, Montgomery R, Montserrat-Martí G, Moretti M, Müller S, Niinemets Ü, Ogaya R, Öllerer K, Onipchenko V, Onoda Y, Ozinga WA, Pausas JG, Peco B, Penuelas J, Pillar VD, Pladevall C, Römermann C, Sack L, Salinas N, Sandel B, Sardans J, Schamp B, Scherer-Lorenzen M, Schulze ED, Schweingruber F, Shiodera S, Sosinski Ê, Soudzilovskaia N, Spasojevic MJ, Swaine E, Swenson N, Tautenhahn S, Thompson K, Totte A, Urrutia-Jalabert R, Valladares F, van Bodegom P, Vasseur F, Verheyen K, Vile D, Violle C, von Holle B, Weigelt P, Weiher E, Wiemann MC, Williams M, Wright J, and Zotz G

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., (© 2022. The Author(s).)

Published
2022
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9. Differences in clinical characteristics of cervical spine injuries in older adults by external causes: a multicenter study of 1512 cases.

Author

Yokogawa N, Kato S, Sasagawa T, Hayashi H, Tsuchiya H, Ando K, Nakashima H, Segi N, Funayama T, Eto F, Yamaji A, Nori S, Yamane J, Furuya T, Yunde A, Nakajima H, Yamada T, Hasegawa T, Terashima Y, Hirota R, Suzuki H, Imajo Y, Ikegami S, Uehara M, Tonomura H, Sakata M, Hashimoto K, Onoda Y, Kawaguchi K, Haruta Y, Suzuki N, Kato K, Uei H, Sawada H, Nakanishi K, Misaki K, Terai H, Tamai K, Shirasawa E, Inoue G, Kakutani K, Kakiuchi Y, Kiyasu K, Tominaga H, Tokumoto H, Iizuka Y, Takasawa E, Akeda K, Takegami N, Funao H, Oshima Y, Kaito T, Sakai D, Yoshii T, Ohba T, Otsuki B, Seki S, Miyazaki M, Ishihara M, Okada S, Imagama S, and Watanabe K

Subjects
Aged, Cervical Vertebrae injuries, Humans, Retrospective Studies, Frailty, Neck Injuries, Spinal Injuries etiology
Abstract

Although traumatic cervical spine injuries in older adults are commonly caused by minor traumas, such as ground-level falls, their prognosis is often unfavorable. Studies examining the clinical characteristics of cervical spine injuries in older adults according to the external cause of injury are lacking. This study included 1512 patients of ≥ 65 years of age with traumatic cervical spine injuries registered in a Japanese nationwide multicenter database. The relationship between the external causes and clinical characteristics, as well as factors causing unfavorable outcomes at the ground-level falls, were retrospectively reviewed and examined. When fall-induced cervical spine injuries were categorized and compared based on fall height, the patients' backgrounds and injury statuses differed significantly. Of note, patients injured from ground-level falls tended to have poorer pre-injury health conditions, such as medical comorbidities and frailty, compared with those who fell from higher heights. For ground-level falls, the mortality, walking independence, and home-discharge rates at 6 months post-injury were 9%, 67%, and 80%, respectively, with preexisting medical comorbidities and frailty associated with unfavorable outcomes, independent of age or severity of neurological impairment at the time of injury., (© 2022. The Author(s).)

Published
2022
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10. Transcriptome and metabolome analyses revealed that narrowband 280 and 310 nm UV-B induce distinctive responses in Arabidopsis.

Author

Tsurumoto T, Fujikawa Y, Onoda Y, Ochi Y, Ohta D, and Okazawa A

Subjects
Chromosomal Proteins, Non-Histone metabolism, Gene Expression Regulation, Plant, Metabolome, Transcriptome, Ultraviolet Rays, Arabidopsis metabolism, Arabidopsis Proteins genetics, Arabidopsis Proteins metabolism
Abstract

In plants, the UV-B photoreceptor UV RESISTANCE LOCUS8 (UVR8) perceives UV-B and induces UV-B responses. UVR8 absorbs a range of UV-B (260-335 nm). However, the responsiveness of plants to each UV-B wavelength has not been intensively studied so far. Here, we performed transcriptome and metabolome analyses of Arabidopsis using UV light emitting diodes (LEDs) with peak wavelengths of 280 and 310 nm to investigate the differences in the wavelength-specific UV-B responses. Irradiation with both UV-LEDs induced gene expression of the transcription factor ELONGATED HYPOCOTYL 5 (HY5), which has a central role in the UVR8 signaling pathway. However, the overall transcriptomic and metabolic responses to 280 and 310 nm UV-LED irradiation were different. Most of the known UV-B-responsive genes, such as defense-related genes, responded only to 280 nm UV-LED irradiation. Lipids, polyamines and organic acids were the metabolites most affected by 280 nm UV-LED irradiation, whereas the effect of 310 nm UV-LED irradiation on the metabolome was considerably less. Enzymatic genes involved in the phenylpropanoid pathway upstream in anthocyanin biosynthesis were up-regulated only by 280 nm UV-LED irradiation. These results revealed that the responsivenesses of Arabidopsis to 280 and 310 nm UV-B were significantly different, suggesting that UV-B signaling is mediated by more complex pathways than the current model., (© 2022. The Author(s).)

Published
2022
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11. AusTraits, a curated plant trait database for the Australian flora.

Author

Falster D, Gallagher R, Wenk EH, Wright IJ, Indiarto D, Andrew SC, Baxter C, Lawson J, Allen S, Fuchs A, Monro A, Kar F, Adams MA, Ahrens CW, Alfonzetti M, Angevin T, Apgaua DMG, Arndt S, Atkin OK, Atkinson J, Auld T, Baker A, von Balthazar M, Bean A, Blackman CJ, Bloomfield K, Bowman DMJS, Bragg J, Brodribb TJ, Buckton G, Burrows G, Caldwell E, Camac J, Carpenter R, Catford JA, Cawthray GR, Cernusak LA, Chandler G, Chapman AR, Cheal D, Cheesman AW, Chen SC, Choat B, Clinton B, Clode PL, Coleman H, Cornwell WK, Cosgrove M, Crisp M, Cross E, Crous KY, Cunningham S, Curran T, Curtis E, Daws MI, DeGabriel JL, Denton MD, Dong N, Du P, Duan H, Duncan DH, Duncan RP, Duretto M, Dwyer JM, Edwards C, Esperon-Rodriguez M, Evans JR, Everingham SE, Farrell C, Firn J, Fonseca CR, French BJ, Frood D, Funk JL, Geange SR, Ghannoum O, Gleason SM, Gosper CR, Gray E, Groom PK, Grootemaat S, Gross C, Guerin G, Guja L, Hahs AK, Harrison MT, Hayes PE, Henery M, Hochuli D, Howell J, Huang G, Hughes L, Huisman J, Ilic J, Jagdish A, Jin D, Jordan G, Jurado E, Kanowski J, Kasel S, Kellermann J, Kenny B, Kohout M, Kooyman RM, Kotowska MM, Lai HR, Laliberté E, Lambers H, Lamont BB, Lanfear R, van Langevelde F, Laughlin DC, Laugier-Kitchener BA, Laurance S, Lehmann CER, Leigh A, Leishman MR, Lenz T, Lepschi B, Lewis JD, Lim F, Liu U, Lord J, Lusk CH, Macinnis-Ng C, McPherson H, Magallón S, Manea A, López-Martinez A, Mayfield M, McCarthy JK, Meers T, van der Merwe M, Metcalfe DJ, Milberg P, Mokany K, Moles AT, Moore BD, Moore N, Morgan JW, Morris W, Muir A, Munroe S, Nicholson Á, Nicolle D, Nicotra AB, Niinemets Ü, North T, O'Reilly-Nugent A, O'Sullivan OS, Oberle B, Onoda Y, Ooi MKJ, Osborne CP, Paczkowska G, Pekin B, Guilherme Pereira C, Pickering C, Pickup M, Pollock LJ, Poot P, Powell JR, Power SA, Prentice IC, Prior L, Prober SM, Read J, Reynolds V, Richards AE, Richardson B, Roderick ML, Rosell JA, Rossetto M, Rye B, Rymer PD, Sams MA, Sanson G, Sauquet H, Schmidt S, Schönenberger J, Schulze ED, Sendall K, Sinclair S, Smith B, Smith R, Soper F, Sparrow B, Standish RJ, Staples TL, Stephens R, Szota C, Taseski G, Tasker E, Thomas F, Tissue DT, Tjoelker MG, Tng DYP, de Tombeur F, Tomlinson K, Turner NC, Veneklaas EJ, Venn S, Vesk P, Vlasveld C, Vorontsova MS, Warren CA, Warwick N, Weerasinghe LK, Wells J, Westoby M, White M, Williams NSG, Wills J, Wilson PG, Yates C, Zanne AE, Zemunik G, and Ziemińska K

Subjects
Australia, Plant Physiological Phenomena, Databases, Factual, Phenotype, Plants
Abstract

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge., (© 2021. The Author(s).)

Published
2021
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12. Plant functional trait change across a warming tundra biome.

Author

Bjorkman AD, Myers-Smith IH, Elmendorf SC, Normand S, Rüger N, Beck PSA, Blach-Overgaard A, Blok D, Cornelissen JHC, Forbes BC, Georges D, Goetz SJ, Guay KC, Henry GHR, HilleRisLambers J, Hollister RD, Karger DN, Kattge J, Manning P, Prevéy JS, Rixen C, Schaepman-Strub G, Thomas HJD, Vellend M, Wilmking M, Wipf S, Carbognani M, Hermanutz L, Lévesque E, Molau U, Petraglia A, Soudzilovskaia NA, Spasojevic MJ, Tomaselli M, Vowles T, Alatalo JM, Alexander HD, Anadon-Rosell A, Angers-Blondin S, Beest MT, Berner L, Björk RG, Buchwal A, Buras A, Christie K, Cooper EJ, Dullinger S, Elberling B, Eskelinen A, Frei ER, Grau O, Grogan P, Hallinger M, Harper KA, Heijmans MMPD, Hudson J, Hülber K, Iturrate-Garcia M, Iversen CM, Jaroszynska F, Johnstone JF, Jørgensen RH, Kaarlejärvi E, Klady R, Kuleza S, Kulonen A, Lamarque LJ, Lantz T, Little CJ, Speed JDM, Michelsen A, Milbau A, Nabe-Nielsen J, Nielsen SS, Ninot JM, Oberbauer SF, Olofsson J, Onipchenko VG, Rumpf SB, Semenchuk P, Shetti R, Collier LS, Street LE, Suding KN, Tape KD, Trant A, Treier UA, Tremblay JP, Tremblay M, Venn S, Weijers S, Zamin T, Boulanger-Lapointe N, Gould WA, Hik DS, Hofgaard A, Jónsdóttir IS, Jorgenson J, Klein J, Magnusson B, Tweedie C, Wookey PA, Bahn M, Blonder B, van Bodegom PM, Bond-Lamberty B, Campetella G, Cerabolini BEL, Chapin FS 3rd, Cornwell WK, Craine J, Dainese M, de Vries FT, Díaz S, Enquist BJ, Green W, Milla R, Niinemets Ü, Onoda Y, Ordoñez JC, Ozinga WA, Penuelas J, Poorter H, Poschlod P, Reich PB, Sandel B, Schamp B, Sheremetev S, and Weiher E

Subjects
Biometry, Geographic Mapping, Humidity, Phenotype, Soil chemistry, Spatio-Temporal Analysis, Temperature, Water analysis, Global Warming, Plant Physiological Phenomena, Plants anatomy & histology, Tundra
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
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13. Plant functional traits have globally consistent effects on competition.

Author

Kunstler G, Falster D, Coomes DA, Hui F, Kooyman RM, Laughlin DC, Poorter L, Vanderwel M, Vieilledent G, Wright SJ, Aiba M, Baraloto C, Caspersen J, Cornelissen JH, Gourlet-Fleury S, Hanewinkel M, Herault B, Kattge J, Kurokawa H, Onoda Y, Peñuelas J, Poorter H, Uriarte M, Richardson S, Ruiz-Benito P, Sun IF, Ståhl G, Swenson NG, Thompson J, Westerlund B, Wirth C, Zavala MA, Zeng H, Zimmerman JK, Zimmermann NE, and Westoby M

Subjects
Forests, Internationality, Models, Biological, Plant Leaves physiology, Trees growth & development, Wood analysis, Phenotype, Trees anatomy & histology, Trees physiology
Abstract

Phenotypic traits and their associated trade-offs have been shown to have globally consistent effects on individual plant physiological functions, but how these effects scale up to influence competition, a key driver of community assembly in terrestrial vegetation, has remained unclear. Here we use growth data from more than 3 million trees in over 140,000 plots across the world to show how three key functional traits--wood density, specific leaf area and maximum height--consistently influence competitive interactions. Fast maximum growth of a species was correlated negatively with its wood density in all biomes, and positively with its specific leaf area in most biomes. Low wood density was also correlated with a low ability to tolerate competition and a low competitive effect on neighbours, while high specific leaf area was correlated with a low competitive effect. Thus, traits generate trade-offs between performance with competition versus performance without competition, a fundamental ingredient in the classical hypothesis that the coexistence of plant species is enabled via differentiation in their successional strategies. Competition within species was stronger than between species, but an increase in trait dissimilarity between species had little influence in weakening competition. No benefit of dissimilarity was detected for specific leaf area or wood density, and only a weak benefit for maximum height. Our trait-based approach to modelling competition makes generalization possible across the forest ecosystems of the world and their highly diverse species composition.

Published
2016
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