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2. Traditional plant functional groups explain variation in economic but not size-related traits across the tundra biome

Author

Thomas, H.J.D., Myers-Smith, I.H., Bjorkman, A.D., Elmendorf, S.C., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Kattge, J., Goetz, S.J., Guay, K.C., Alatalo, J.M., Anadon-Rosell, A., Angers-Blondin, S., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K., Siegwart Collier, L., Cooper, E.J., Eskelinen, A., Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Johnstone, J.F., Kaarlejärvi, E., Kulonen, A., Lamarque, L.J., 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., Semenchuk, P.R., Soudzilovskaia, N.A., Spasojevic, M.J., Speed, J.D.M., Tape, K.D., Beest, M. te, Tomaselli, M., Trant, A., Treier, U.A., Venn, S., Vowles, T., Weijers, S., Zamin, T., Atkin, O.K., Bahn, M., Blonder, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Dainese, M., Vries, F.T. de, Díaz, S., Green, W., Jackson, R.B., Manning, P., Niinemets, Ü, Ozinga, W.A., Penuelas, J., Reich, P.B., Schamp, B., Sheremetev, S., Bodegom, P.M. van, Systems Ecology, Spatial Ecology and Global Change, Environmental Sciences, External Funding, Research Centre for Ecological Change, and van Bodegom, PM

Subjects
Plant functional types, Evolution, NUTRIENT, TERM, plant functional groups, Physical Geography and Environmental Geoscience, CARBON, vegetation change, Cluster analysis, Behavior and Systematics, ecosystem function, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Plantegeografi: 496, Community composition, Plant functional groups, community composition, ARCTIC TUNDRA, Ekologi, Plant traits, Global and Planetary Change, CLIMATE-CHANGE, Ecology, LEAF TRAITS, Botany, food and beverages, Botanik, VDP::Mathematics and natural science: 400::Zoology and botany: 480::Plant geography: 496, plant functional types, Research Papers, Tundra biome, cluster analysis, plant traits, tundra biome, Ecology, Evolution, Behavior and Systematics, Ecological Applications, 1181 Ecology, evolutionary biology, Vegetation change, Ecosystem function, VEGETATION, LITTER DECOMPOSITION RATES, RESPONSES, Research Paper
Abstract

Aim : Plant functional groups are widely used in community ecology and earth system modelling to describe trait variation within and across plant communities. However, this approach rests on the assumption that functional groups explain a large propor ‐ tion of trait variation among species. We test whether four commonly used plant functional groups represent variation in six ecologically important plant traits. Location : Tundra biome. Time period : Data collected between 1964 and 2016. Major taxa studied : 295 tundra vascular plant species. Methods : We compiled a database of six plant traits (plant height, leaf area, specific leaf area, leaf dry matter content, leaf nitrogen, seed mass) for tundra species. We exam ‐ ined the variation in species‐level trait expression explained by four traditional func ‐ tional groups (evergreen shrubs, deciduous shrubs, graminoids, forbs), and whether variation explained was dependent upon the traits included in analysis. We further compared the explanatory power and species composition of functional groups to al ‐ ternative classifications generated using post hoc clustering of species‐level traits. Results : Traditional functional groups explained significant differences in trait expres ‐ sion, particularly amongst traits associated with resource economics, which were con ‐ sistent across sites and at the biome scale. However, functional groups explained 19% of overall trait variation and poorly represented differences in traits associated with plant size. Post hoc classification of species did not correspond well with traditional functional groups, and explained twice as much variation in species‐level trait expression. Main conclusions : Traditional functional groups only coarsely represent variation in well‐measured traits within tundra plant communities, and better explain resource economic traits than size‐related traits. We recommend caution when using func ‐ tional group approaches to predict tundra vegetation change, or ecosystem func ‐ tions relating to plant size, such as albedo or carbon storage. We argue that alternative classifications or direct use of specific plant traits could provide new insights for ecological prediction and modelling. © 2018 The Authors Global Ecology and Biogeography Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.

Published
2021

3. Do tradeoffs govern plant species responses to different global change treatments?

Author

Langley, J.A., Grman, E., Wilcox, K.R., Avolio, M.L., Komatsu, K.J., Collins, S.L., Koerner, S.E., Smith, M.D., Baldwin, A.H., Bowman, W., Chiariello, N., Eskelinen, Anu Maria, Harmens, H., Hovenden, M., Klanderud, K., McCulley, R.L., Onipchenko, V.G., Robinson, C.H., Suding, K.N., Langley, J.A., Grman, E., Wilcox, K.R., Avolio, M.L., Komatsu, K.J., Collins, S.L., Koerner, S.E., Smith, M.D., Baldwin, A.H., Bowman, W., Chiariello, N., Eskelinen, Anu Maria, Harmens, H., Hovenden, M., Klanderud, K., McCulley, R.L., Onipchenko, V.G., Robinson, C.H., and Suding, K.N.

Abstract

Plants are subject to tradeoffs among growth strategies such that adaptations for optimal growth in one condition can preclude optimal growth in another. Thus, we predicted that a plant species that responds positively to one global change treatment would be less likely than average to respond positively to another treatment, particularly for pairs of treatments that favor distinct traits. We examined plant species abundances in 39 global change experiments manipulating two or more of the following: CO2, nitrogen, phosphorus, water, temperature, or disturbance. Overall, the directional response of a species to one treatment was 13% more likely than expected to oppose its response to a another single-factor treatment. This tendency was detectable across the global dataset but held little predictive power for individual treatment combinations or within individual experiments. While tradeoffs in the ability to respond to different global change treatments exert discernible global effects, other forces obscure their influence in local communities.

Published
2021

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. Traditional plant functional groups explain variation in economic but not size‐related traits across the tundra biome

Author

Thomas, H.J.D., Myers-Smith, I.H., Bjorkman, A.D., Elmendorf, S.C., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Kattge, J., Goetz, S.J., Guay, K.C., Alatalo, J.M., Anadon‐Rosell, A., Angers‐Blondin, S., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K., Siegwart Collier, L., Cooper, E.J., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Hülber, K., Iturrate‐Garcia, M., Iversen, C.M., Jaroszynska, F., Johnstone, J.F., Kaarlejärvi, E., Kulonen, A., Lamarque, L.J., 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., Semenchuk, P.R., Soudzilovskaia, N.A., Spasojevic, M.J., Speed, J.D.M., Tape, K.D., te Beest, M., Tomaselli, M., Trant, A., Treier, U.A., Venn, S., Vowles, T., Weijers, S., Zamin, T., Atkin, O.K., Bahn, M., Blonder, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Dainese, M., de Vries, F.T., Díaz, S., Green, W., Jackson, R.B., Manning, P., Niinemets, Ü., Ozinga, W.A., Peñuelas, J., Reich, P.B., Schamp, B., Sheremetev, S., van Bodegom, P.M., Thomas, H.J.D., Myers-Smith, I.H., Bjorkman, A.D., Elmendorf, S.C., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Kattge, J., Goetz, S.J., Guay, K.C., Alatalo, J.M., Anadon‐Rosell, A., Angers‐Blondin, S., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K., Siegwart Collier, L., Cooper, E.J., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Hülber, K., Iturrate‐Garcia, M., Iversen, C.M., Jaroszynska, F., Johnstone, J.F., Kaarlejärvi, E., Kulonen, A., Lamarque, L.J., 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., Semenchuk, P.R., Soudzilovskaia, N.A., Spasojevic, M.J., Speed, J.D.M., Tape, K.D., te Beest, M., Tomaselli, M., Trant, A., Treier, U.A., Venn, S., Vowles, T., Weijers, S., Zamin, T., Atkin, O.K., Bahn, M., Blonder, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Dainese, M., de Vries, F.T., Díaz, S., Green, W., Jackson, R.B., Manning, P., Niinemets, Ü., Ozinga, W.A., Peñuelas, J., Reich, P.B., Schamp, B., Sheremetev, S., and van Bodegom, P.M.

Abstract

AimPlant functional groups are widely used in community ecology and earth system modelling to describe trait variation within and across plant communities. However, this approach rests on the assumption that functional groups explain a large proportion of trait variation among species. We test whether four commonly used plant functional groups represent variation in six ecologically important plant traits.LocationTundra biome.Time periodData collected between 1964 and 2016.Major taxa studied295 tundra vascular plant species.MethodsWe compiled a database of six plant traits (plant height, leaf area, specific leaf area, leaf dry matter content, leaf nitrogen, seed mass) for tundra species. We examined the variation in species‐level trait expression explained by four traditional functional groups (evergreen shrubs, deciduous shrubs, graminoids, forbs), and whether variation explained was dependent upon the traits included in analysis. We further compared the explanatory power and species composition of functional groups to alternative classifications generated using post hoc clustering of species‐level traits.ResultsTraditional functional groups explained significant differences in trait expression, particularly amongst traits associated with resource economics, which were consistent across sites and at the biome scale. However, functional groups explained 19% of overall trait variation and poorly represented differences in traits associated with plant size. Post hoc classification of species did not correspond well with traditional functional groups, and explained twice as much variation in species‐level trait expression.Main conclusionsTraditional functional groups only coarsely represent variation in well‐measured traits within tundra plant communities, and better explain resource economic traits than size‐related traits. We recommend caution when using functional group approaches to predict tundra vegetation change, or ecosystem functions relating to plant size, su

Published
2018

6. Tundra Trait Team: A database of plant traits spanning the tundra biome

Author

Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Normand, S., Thomas, H.J.D., Alatalo, J.M., Alexander, H., Anadon‐Rosell, A., Angers‐Blondin, S., Bai, Y., Baruah, G., te Beest, M., Berner, L., Björk, R.G., Blok, D., Bruelheide, H., Buchwal, A., Buras, A., Carbognani, M., Christie, K., Collier, L.S., Cooper, E.J., Cornelissen, J.H.C., Dickinson, K.J.M., Dullinger, S., Elberling, B., Eskelinen, Anu Maria, Forbes, B.C., Frei, E.R., Iturrate‐Garcia, M., Good, M.K., Grau, O., Green, P., Greve, M., Grogan, P., Haider, S., Hájek, T., Hallinger, M., Happonen, K., Harper, K.A., Heijmans, M.M.P.D., Henry, G.H.R., Hermanutz, L., Hewitt, R.E., Hollister, R.D., Hudson, J., Hülber, K., Iversen, C.M., Jaroszynska, F., Jiménez‐Alfaro, B., Johnstone, J., Jorgensen, R.H., Kaarlejärvi, E., Klady, R., Klimešová, J., Korsten, A., Kuleza, S., Kulonen, A., Lamarque, L.J., Lantz, T., Lavalle, A., Lembrechts, J.J., Lévesque, E., Little, C.J., Luoto, M., Macek, P., Mack, M.C., Mathakutha, R., Michelsen, A., Milbau, A., Molau, U., Morgan, J.W., Mörsdorf, M.A., Nabe-Nielsen, J., Schøler Nielsen, S., Ninot, J.M., Oberbauer, S.F., Olofsson, J., Onipchenko, V.G., Petraglia, A., Pickering, C., Prevéy, J.S., Rixen, C., Rumpf, S.B., Schaepman-Strub, G., Semenchuk, P., Shetti, R., Soudzilovskaia, N.A., Spasojevic, M.J., Speed, J.D.M., Street, L.E., Suding, K., Tape, K.D., Tomaselli, M., Trant, A., Treier, U.A., Tremblay, J.-P., Tremblay, M., Venn, S., Virkkala, A.-M., Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Normand, S., Thomas, H.J.D., Alatalo, J.M., Alexander, H., Anadon‐Rosell, A., Angers‐Blondin, S., Bai, Y., Baruah, G., te Beest, M., Berner, L., Björk, R.G., Blok, D., Bruelheide, H., Buchwal, A., Buras, A., Carbognani, M., Christie, K., Collier, L.S., Cooper, E.J., Cornelissen, J.H.C., Dickinson, K.J.M., Dullinger, S., Elberling, B., Eskelinen, Anu Maria, Forbes, B.C., Frei, E.R., Iturrate‐Garcia, M., Good, M.K., Grau, O., Green, P., Greve, M., Grogan, P., Haider, S., Hájek, T., Hallinger, M., Happonen, K., Harper, K.A., Heijmans, M.M.P.D., Henry, G.H.R., Hermanutz, L., Hewitt, R.E., Hollister, R.D., Hudson, J., Hülber, K., Iversen, C.M., Jaroszynska, F., Jiménez‐Alfaro, B., Johnstone, J., Jorgensen, R.H., Kaarlejärvi, E., Klady, R., Klimešová, J., Korsten, A., Kuleza, S., Kulonen, A., Lamarque, L.J., Lantz, T., Lavalle, A., Lembrechts, J.J., Lévesque, E., Little, C.J., Luoto, M., Macek, P., Mack, M.C., Mathakutha, R., Michelsen, A., Milbau, A., Molau, U., Morgan, J.W., Mörsdorf, M.A., Nabe-Nielsen, J., Schøler Nielsen, S., Ninot, J.M., Oberbauer, S.F., Olofsson, J., Onipchenko, V.G., Petraglia, A., Pickering, C., Prevéy, J.S., Rixen, C., Rumpf, S.B., Schaepman-Strub, G., Semenchuk, P., Shetti, R., Soudzilovskaia, N.A., Spasojevic, M.J., Speed, J.D.M., Street, L.E., Suding, K., Tape, K.D., Tomaselli, M., Trant, A., Treier, U.A., Tremblay, J.-P., Tremblay, M., Venn, S., and Virkkala, A.-M.

Abstract

MotivationThe Tundra Trait Team (TTT) database includes field‐based measurements of key traits related to plant form and function at multiple sites across the tundra biome. This dataset can be used to address theoretical questions about plant strategy and trade‐offs, trait–environment relationships and environmental filtering, and trait variation across spatial scales, to validate satellite data, and to inform Earth system model parameters. Main types of variable containedThe database contains 91,970 measurements of 18 plant traits. The most frequently measured traits (> 1,000 observations each) include plant height, leaf area, specific leaf area, leaf fresh and dry mass, leaf dry matter content, leaf nitrogen, carbon and phosphorus content, leaf C:N and N:P, seed mass, and stem specific density. Spatial location and grainMeasurements were collected in tundra habitats in both the Northern and Southern Hemispheres, including Arctic sites in Alaska, Canada, Greenland, Fennoscandia and Siberia, alpine sites in the European Alps, Colorado Rockies, Caucasus, Ural Mountains, Pyrenees, Australian Alps, and Central Otago Mountains (New Zealand), and sub‐Antarctic Marion Island. More than 99% of observations are georeferenced. Time period and grainAll data were collected between 1964 and 2018. A small number of sites have repeated trait measurements at two or more time periods. Major taxa and level of measurementTrait measurements were made on 978 terrestrial vascular plant species growing in tundra habitats. Most observations are on individuals (86%), while the remainder represent plot or site means or maximums per species. Software formatcsv file and GitHub repository with data cleaning scripts in R; contribution to TRY plant trait database (www.try-db.org) to be included in the next version release.

Published
2018

7. Predicting habitat affinities of plant species using commonly measured functional traits

Author

Shipley, B., Belluau, M., Kühn, Ingolf, Soudzilovskaia, N.A., Bahn, M., Penuelas, J., Kattge, J., Sack, L., Cavender-Bares, J., Ozinga, W.A., Blonder, B., van Bodegom, P.M., Manning, P., Hickler, T., Sosinski, E., Pillar, V.D., Onipchenko, V.G., Poschlod, P., Shipley, B., Belluau, M., Kühn, Ingolf, Soudzilovskaia, N.A., Bahn, M., Penuelas, J., Kattge, J., Sack, L., Cavender-Bares, J., Ozinga, W.A., Blonder, B., van Bodegom, P.M., Manning, P., Hickler, T., Sosinski, E., Pillar, V.D., Onipchenko, V.G., and Poschlod, P.

Abstract

QuestionsHeinz Ellenberg classically defined “indicator” scores for species representing their typical positions along gradients of key environmental variables, and these have proven very useful for designating ecological distributions. We tested a key tenent of trait-based ecology, i.e. the ability to predict ecological preferences from species’ traits. More specifically, can we predict Ellenberg indicator scores for soil nutrients, soil moisture and irradiance from four well-studied traits: leaf area, leaf dry matter content, specific leaf area (SLA) and seed mass? Can we use such relationships to estimate Ellenberg scores for species never classified by Ellenberg?LocationGlobal.MethodsCumulative link models were developed to predict Ellenberg nutrients, irradiance and moisture values from Ln-transformed trait values using 922, 981 and 988 species, respectively. We then independently tested these prediction equations using the trait values of 423 and 421 new species that occurred elsewere in Europe, North America and Morocco, and whose habitat affinities we could classify from independent sources as three-level ordinal ranks related to soil moisture and irradiance. The traits were SLA, leaf dry matter content, leaf area and seed mass.ResultsThe four functional traits predicted the Ellenberg indicator scores of site fertility, light and moisture with average error rates of <2 Ellenberg ranks out of nine. We then used the trait values of 423 and 421 species, respectively, that occurred (mostly) outside of Germany but whose habitat affinities we could classify as three-level ordinal ranks related to soil moisture and irradiance. The predicted positions of the new species, given the equations derived from the Ellenberg indices, agreed well with their independent habitat classifications, although our equation for Ellenberg irrandiance levels performed poorly on the lower ranks.ConclusionsThese prediction equations, and their eventual extensions, could b

Published
2017

8. A global method for calculating plant CSR ecological strategies applied across biomes world-wide

Author

Pierce, S., Negreiros, D., Cerabolini, B.E.L., Kattge, J., Díaz, S., Kleyer, M., Shipley, B., Wright, S.J., Soudzilovskaia, N.A., Onipchenko, V.G., van Bodegom, P.M., Frenette-Dussault, C., Weiher, E., Pinho, B.X., Cornelissen, J.H.C., Grime, J.P., Thompson, K., Hunt, R., Wilson, P.J., Buffa, G., Nyakunga, O.C., Reich, P.B., Caccianiga, M., Mangili, F., Ceriani, R.M., Luzzaro, A., Brusa, G., Siefert, A., Barbosa, N.P.U., Chapin III, F.S., Cornwell, W.K., Fang, Jingyun, Wilson Fernandez, G., Garnier, E., Le Stradic, S., Peñuelas, J., Melo, F.P.L., Slaviero, A., Tabarrelli, M., Tampucci, D., Pierce, S., Negreiros, D., Cerabolini, B.E.L., Kattge, J., Díaz, S., Kleyer, M., Shipley, B., Wright, S.J., Soudzilovskaia, N.A., Onipchenko, V.G., van Bodegom, P.M., Frenette-Dussault, C., Weiher, E., Pinho, B.X., Cornelissen, J.H.C., Grime, J.P., Thompson, K., Hunt, R., Wilson, P.J., Buffa, G., Nyakunga, O.C., Reich, P.B., Caccianiga, M., Mangili, F., Ceriani, R.M., Luzzaro, A., Brusa, G., Siefert, A., Barbosa, N.P.U., Chapin III, F.S., Cornwell, W.K., Fang, Jingyun, Wilson Fernandez, G., Garnier, E., Le Stradic, S., Peñuelas, J., Melo, F.P.L., Slaviero, A., Tabarrelli, M., and Tampucci, D.

Abstract

Competitor, stress-tolerator, ruderal (CSR) theory is a prominent plant functional strategy scheme previously applied to local floras. Globally, the wide geographic and phylogenetic coverage of available values of leaf area (LA), leaf dry matter content (LDMC) and specific leaf area (SLA) (representing, respectively, interspecific variation in plant size and conservative vs. acquisitive resource economics) promises the general application of CSR strategies across biomes, including the tropical forests hosting a large proportion of Earth's diversity. We used trait variation for 3068 tracheophytes (representing 198 families, six continents and 14 biomes) to create a globally calibrated CSR strategy calculator tool and investigate strategy-environment relationships across biomes world-wide. Due to disparity in trait availability globally, co-inertia analysis was used to check correspondence between a 'wide geographic coverage, few traits' data set and a 'restricted coverage, many traits' subset of 371 species for which 14 whole-plant, flowering, seed and leaf traits (including leaf nitrogen content) were available. CSR strategy/environment relationships within biomes were investigated using fourth-corner and RLQ analyses to determine strategy/climate specializations. Strong, significant concordance (RV = 0·597; P < 0·0001) was evident between the 14 trait multivariate space and when only LA, LDMC and SLA were used. Biomes such as tropical moist broadleaf forests exhibited strategy convergence (i.e. clustered around a CS/CSR median; C:S:R = 43:42:15%), with CS-selection associated with warm, stable situations (lesser temperature seasonality), with greater annual precipitation and potential evapotranspiration. Other biomes were characterized by strategy divergence: for example, deserts varied between xeromorphic perennials such as Larrea divaricata, classified as S-selected (C:S:R = 1:99:0%) and broadly R-selected annual herbs (e.g. Claytonia perfoliata; R/CR-selected

Published
2017
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10. TRY - a global database of plant traits

Author

Kattge, J., Diaz, S., Lavorel, S., Prentices, I.C., Leadley, P., Bönisch, G., Garnier, E., Westobys, M., Reich, P.B., Wrights, I.J., Cornelissen, C., Violle, C., Harisson, S.P., van Bodegom, P.M., Reichstein, M., Enquist, B.J., Soudzilovskaia, N.A., Ackerly, D.D., Anand, M., Atkin, O., Bahn, M., Baker, T.R., Baldochi, D., Bekker, R., Blanco, C.C., Blonders, B., Bond, W.J., Bradstock, R., Bunker, D.E., Casanoves, F., Cavender-Bares, J., Chambers, J.Q., Chapin III, F.S., Chave, J., Coomes, D., Cornwell, W.K., Craine, J.M., Dobrin, B.H., Duarte, L., Durka, W., Elser, J., Esser, G., Estiarte, M., Fagan, W.F., Fang, J., Fernadez-Mendez, F., Fidelis, A., Finegan, B., Flores, O., Ford, H., Frank, D., Freschet, T., Fyllas, N.M., Gallagher, R.V., Green, W.A., Gutierrez, A.G., Hickler, T., Higgins, S.I., Hodgson, J.G., Jalili, A., Jansen, S., Joly, C.A., Kerkhoff, A.J., Kirkup, D., Kitajima, K., Kleyer, M., Klotz, S., Knops, J.M.H., Kramer, K., Kühn, I., Kurokawa, H., Laughlin, D., Lee, T.D., Leishman, M., Lens, F., Lewis, S.L., Lloyd, J., Llusia, J., Louault, F., Ma, S., Mahecha, M.D., Manning, P., Massad, T., Medlyn, B.E., Messier, J., Moles, A.T., Müller, S.C., Nadrowski, K., Naeem, S., Niinemets, Ü., Nöllert, S., Nüske, A., Ogaya, R., Oleksyn, J., Onipchenko, V.G., Onoda, Y., Ordonez Barragan, J.C., Ozinga, W.A., and Poorter, L.

Subjects
litter decomposition rates, hawaiian metrosideros-polymorpha, leaf economics spectrum, relative growth-rate, PE&RC, Law Group, Forest Ecology and Forest Management, Centrum Ecosystemen, tropical rain-forest, Centre for Ecosystem Studies, CE - Vegetation and Landscape Ecology, Recht, terrestrial biosphere, wide-range, Bosecologie en Bosbeheer, sub-arctic flora, Wageningen Environmental Research, functional traits, old-field succession
Abstract

Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

Published
2011

11. Global to community scale differences in the prevalence of convergent over divergent leaf trait distributions in plan asssemblages

Author

Freschet, G.T., Dias, A., Ackerly, D.D., Aerts, R., van Bodegom, P.M., Cornwell, W.K., Dong, M., Kurokawa, H., Liu, G., Onipchenko, V.G., Ordonez Barragan, J.C., Peltzer, D.A., Richardson, S.J., Shidakov, I.I., Soudzilovskaia, N.A., Tao, J., Cornelissen, J.H.C., Systems Ecology, and Animal Ecology

Subjects
SDG 15 - Life on Land
Abstract

Aim The drivers of species assembly, by limiting the possible range of functional trait values, can lead to either convergent or divergent distributions of traits in realized assemblages. Here, to evaluate the strengths of these species assembly drivers, we partition trait variance across global, regional and community scales. We then test the hypothesis that, from global to community scales, the outcome of co-occurring trait convergence and divergence is highly variable across biomes and communities. Location Global: nine biomes ranging from subarctic highland to tropical rain forest. Methods We analysed functional trait diversity at progressively finer spatial scales using a global, balanced, hierarchically structured dataset from 9 biomes, 58 communities and 652 species. Analyses were based on two key leaf traits (foliar nitrogen content and specific leaf area) that are known to drive biogeochemical cycling. Results While 35% of the global variance in these traits was between biomes, only 15% was between communities within biomes and as much as 50% occurred within communities. Despite this relatively high within-community variance in trait values, we found that trait convergence dominated over divergence at both global and regional scales through comparisons of functional trait diversity in regional and community assemblages against random (null) models of species assembly. Main conclusions We demonstrate that the convergence of traits occurring from global to regional assemblages can be twice as strong as that from regional to community assemblages, and argue that large differences in the nature and strength of abiotic and biotic drivers of dominant species assembly can, at least partly, explain the variable outcome of simultaneous trait convergence and divergence across sites. Ultimately, these findings stress the urgent need to extend species assembly research to address those scales where trait variance is the highest, i.e. between biomes and within communities. © 2011 Blackwell Publishing Ltd.

Published
2011

12. The role of competition along productivity gradients: experimental comparison of four alpine communities in the Caucasus

Author

Onipchenko, V.G., Blinnikov, M.S., Gerasimova, M.A., Volkova, E.V., Cornelissen, J.H.C., and Systems Ecology

Abstract

Question. Competitive and facilitative interactions among plant species in different abiotic environments potentially link productivity, vegetation structure, species composition and functional diversity. We investigated these interactions among four alpine communities along an environmental productivity gradient in a generally harsh climate. We hypothesised that the importance of competition would be higher in more productive sites. Location. Mt. M. Khatipara (43°27'N, 41°41'E, altitude 2750 m), NW Caucasus, Russia. Communities ranged from low-productivity alpine lichen heath (ALH) and snowbed communities (SBC), to intermediate productivity Festuca grassland (FVG), and high-productivity Geranium- Hedysarum meadow (GHM). Methods. We quantified the relative influence of competition and facilitation on community structure by expressing biomass of target species within each natural community proportionally to biomass of the species in a "null community" with experimental release from interspecific competition by removing all other species (for 6 years). An overall index of change in community composition due to interspecific interactions was calculated as the sum of absolute or proportional differences of the component species. Results. Species responses to neighbour removal ranged from positive to neutral. There was no evidence of facilitation among the selected dominant species. As expected, competition was generally most important in the most productive alpine community (GHM). The intermediate position for low-productivity communities of stressful environments (ALH, SBC) and the last position of intermediately productive FVG were unexpected. Conclusions. Our results appear to support the FretwellOksanen hypothesis in that competition in communities of intermediate productivity was less intense than in low- or high-productive communities. However, the zero net effect of competition and facilitation in FVG might be the result of abiotic stress due to strong sun exposure and high soil temperatures after neighbour removal. Thus, nonlinear relationships between soil fertility, productivity and different abiotic stresses may also determine the balance between competition and facilitation. © 2009 International Association for Vegetation Science.

Published
2009

16. The Global Soil Mycobiome consortium dataset for boosting fungal diversity research

Author

Eske De Crop, Annemieke Verbeken, Cathy Sharp, Jaan Pärn, Vladimir S. Mikryukov, Karin Pritsch, R. Henrik Nilsson, Jose G. Maciá-Vicente, Vladimir G. Onipchenko, César Marín, Kassim I. Tchan, Sten Anslan, Kadri Runnel, D. Q. Dai, Isabel C. Barrio, Miklós Bálint, Joosep Sarapuu, Jacob Heilmann-Clausen, Marcela Eugenia da Silva Cáceres, Juha M. Alatalo, S. V. Dudov, Vladimir E. Fedosov, John Y. Kupagme, Irma Zettur, Andrea Rinaldi, Alessandro Saitta, Jelena Ankuda, Urmas Kõljalg, Franz Buegger, Nourou S. Yorou, Alexandre Antonelli, Brendan R. Furneaux, Daniyal Gohar, Elisabeth M. Biersma, Francis Q. Brearley, Kevin K. Newsham, Dipon Sharmah, Louis J. Lamit, Camila Duarte Ritter, Sergei Põlme, Evgeny A. Davydov, Rebeca Casique-Valdés, Geoffrey Zahn, Leho Tedersoo, W. A. Erandi Yasanthika, Inga Hiiesalu, Young Woon Lim, Adriana Corrales, Casper Nyamukondiwa, Kristel Panksep, Genevieve Gates, Darta Klavina, Boris Tamgnoue, Roberto Godoy, Talaat Ahmed, Kessy Abarenkov, Abdul Nasir Khalid, Erin K. Cameron, Meike Piepenbring, Saleh A. Al-Farraj, Rein Drenkhan, Aída-M. Vasco-Palacios, Roberto Garibay-Orijel, Joseph Djeugap Fovo, Gregory Bonito, Peter Meidl, Kalev Adamson, Kęstutis Armolaitis, Kari A. Bråthen, Ahto Agan, Malka Saba, Peter E. Mortimer, Lateef A. Adebola, Felipe E. Albornoz, Jutamart Monkai, Niloufar Hagh-Doust, Indrek Hiiesalu, Mohammad Bahram, Tarquin Netherway, Bobby P. Sulistyo, Saleh Rahimlou, Sunil Mundra, Kevin D. Hyde, Kadri Põldmaa, Terry W. Henkel, Olavi Kurina, Tomas Roslin, Nalin N. Wijayawardene, Marieka Gryzenhout, Julieta Alvarez-Manjarrez, Rasmus Puusepp, József Geml, Eveli Otsing, Marijn Bauters, Maria Tuomi, Tedersoo L., Mikryukov V., Anslan S., Bahram M., Khalid A.N., Corrales A., Agan A., Vasco-Palacios A.-M., Saitta A., Antonelli A., Rinaldi A.C., Verbeken A., Sulistyo B.P., Tamgnoue B., Furneaux B., Ritter C.D., Nyamukondiwa C., Sharp C., Marin C., Dai D.Q., Gohar D., Sharmah D., Biersma E.M., Cameron E.K., De Crop E., Otsing E., Davydov E.A., Albornoz F.E., Brearley F.Q., Buegger F., Gates G., Zahn G., Bonito G., Hiiesalu I., Zettur I., Barrio I.C., Parn J., Heilmann-Clausen J., Ankuda J., Kupagme J.Y., Sarapuu J., Macia-Vicente J.G., Fovo J.D., Geml J., Alatalo J.M., Alvarez-Manjarrez J., Monkai J., Poldmaa K., Runnel K., Adamson K., Brathen K.A., Pritsch K., Tchan K.I., Armolaitis K., Hyde K.D., Newsham K.K., Panksep K., Adebola L.A., Lamit L.J., Saba M., da Silva Caceres M.E., Tuomi M., Gryzenhout M., Bauters M., Balint M., Wijayawardene N., Hagh-Doust N., Yorou N.S., Kurina O., Mortimer P.E., Meidl P., Nilsson R.H., Puusepp R., Casique-Valdes R., Drenkhan R., Garibay-Orijel R., Godoy R., Alfarraj S., Rahimlou S., Polme S., Dudov S.V., Mundra S., Ahmed T., Netherway T., Henkel T.W., Roslin T., Fedosov V.E., Onipchenko V.G., Yasanthika W.A.E., Lim Y.W., Piepenbring M., Klavina D., Koljalg U., and Abarenkov K.

Subjects
PacBio sequencing, Fungal richness, Biotic component, Ecology, Biogeography, Biodiversity, Global dataset, Plant Ecology and Nature Conservation, Edaphic, Soil fungi, Biology, Fungal richne, Phylogenetic diversity, Microbial ecology, Mycology, Settore BIO/03 - Botanica Ambientale E Applicata, Plantenecologie en Natuurbeheer, Biologie, Ecology, Evolution, Behavior and Systematics, Macroecology
Abstract

This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at https://doi.org/10.1007/s13225-021-00493-7. Fungi are highly important biotic components of terrestrial ecosystems, but we still have a very limited understanding about their diversity and distribution. This data article releases a global soil fungal dataset of the Global Soil Mycobiome consortium (GSMc) to boost further research in fungal diversity, biogeography and macroecology. The dataset comprises 722,682 fungal operational taxonomic units (OTUs) derived from PacBio sequencing of full-length ITS and 18S-V9 variable regions from 3200 plots in 108 countries on all continents. The plots are supplied with geographical and edaphic metadata. The OTUs are taxonomically and functionally assigned to guilds and other functional groups. The entire dataset has been corrected by excluding chimeras, index-switch artefacts and potential contamination. The dataset is more inclusive in terms of geographical breadth and phylogenetic diversity of fungi than previously published data. The GSMc dataset is available over the PlutoF repository.

Published
2021

17. BioTIME: A database of biodiversity time series for the Anthropocene

Author

Grace E. Frank, Alecia Bellgrove, Flaviana Maluf Souza, Fakhrizal Setiawan, Vladimir G. Onipchenko, Miguel Barbosa, J. Emmett Duffy, Robert A. Davis, Giselda Durigan, Jan Vanaverbeke, Ricardo Rocha, Ana Paula Savassi-Coutinho, Francis Neat, Emily H. Stanley, Erkki Pulliainen, Vinicius Castro Souza, Stephen F. Newton, N. A. Mil'chakova, Annika Hofgaard, James A. Nelson, Elisabeth J. Cooper, Lisandro Benedetti-Cecchi, Sonja Wipf, Anders Enemar, Gabriel Barros Gonçalves de Souza, Claire Laguionie-Marchais, Dušan Adam, Robert N. L. Fitt, Christopher P. Bloch, Claus Bässler, Gediminas Vaitkus, Magdalena Błażewicz, Robert R. Twilley, Richard Condit, B.R. Ramesh, Chaolun Allen Chen, Grace E. P. Murphy, Kevin P. Robinson, Gal Badihi, Lars G. Rudstam, J. Jonathan Moore, David M. Paterson, Sarah R. Supp, Claire E. Widdicombe, Suzanne M. Remillard, Hans M. Verheye, Jill F. Johnstone, Claire H. Davies, Shane A. Blowes, Mark E. Harmon, Rick D. Stuart-Smith, Andrew J. Brooks, Gert Van Hoey, José Eduardo Rebelo, Anna Maria Fosaa, Tim S. Doherty, Jasper A. Slingsby, Francesco Pomati, Raphaël Pélissier, Ward Appeltans, José Manuel Arcos, Phaedra Budy, Victor H. Rivera-Monroy, Maria Teresa Zugliani Toniato, Anthony J. Richardson, Luiz Fernando Loureiro Fernandes, Christopher D. Stallings, Rowan Stanforth, David J. Kushner, A. A. Akhmetzhanova, Geraldo Antônio Daher Corrêa Franco, Alessandra Fidelis, Elizabeth Gorgone-Barbosa, Dave Watts, S.A. Tarigan, Timothy C. Bonebrake, Kent P. McFarland, Jonathan Belmaker, Shahar Malamud, Kamil Král, John D. Lloyd, Diane M. McKnight, Alessandra Rocha Kortz, Luise Hermanutz, Tore Johannessen, N. Ayyappan, Brian J. Bett, Haley Arnold, Fernando Rodrigues da Silva, Peter L. Meserve, Francisco Lloret, Nadejda A. Soudzilovskaia, Michael R. Willig, Linda A. Kuhnz, Esther Lévesque, Kwang-Tsao Shao, Sofía Sal, Robert D. Hollister, Andrew Rassweiler, Christoph F. J. Meyer, Jeffrey C. Oliver, Isla H. Myers-Smith, Graham J. Edgar, Jacek Siciński, Beatriz Salgado, Fábio Venturoli, Matt Bradford, Borgþór Magnússon, Edward Castañeda-Moya, Anne D. Bjorkman, Eric Post, Alain Paquette, Or Givan, Jonathan S. Lefcheck, Falk Huettmann, Fábio Lang da Silveira, Roberto Cazzolla Gatti, Thomas J. Valone, Sarah C. Elmendorf, Sinta Pardede, Esben Moland Olsen, Laura Siegwart Collier, Flavio Antonio Maës dos Santos, Andrew H. Baird, Cheol Min Lee, Robert B. Waide, Olivia Mendivil Ramos, David C. Lightfoot, Stefan B. Williams, Ute Jandt, David Janík, Stephen S. Hale, Robin Elahi, Andrew L. Rypel, S. K. Morgan Ernest, Jörg Müller, Gaius R. Shaver, Anna Jażdżewska, José Mauro Sterza, Maarten Stevens, Denise de Cerqueira Rossa-Feres, Dor Edelist, Martha Isabel Vallejo, Michael Paul Nelson, Conor Waldock, Ricardo Ribeiro Rodrigues, Sally Sherman, Dustin J. Wilgers, Sharon K. Collinge, Kristen T. Holeck, Josep Peñuelas, Douglas A. Kelt, Tiago Egydio Barreto, Faye Moyes, Robert L. Schooley, Peter B. Reich, Jason Meador, Anders Michelsen, J. Paul Richardson, Sara J. Snell, Julio R. Gutiérrez, Chih-hao Hsieh, Gary D. Grossman, Hernando García, Ana Carolina da Silva, Kyle J. A. Zawada, Richard T. Holmes, John C. Priscu, Christine L. Huffard, Christian Rixen, William O. McLarney, Julia A. Jones, Anne Tolvanen, William A. Gould, Maite Louzao, Alejandro Pérez-Matus, Donald L. Henshaw, Kathleen L. Prudic, Herbert H. T. Prins, Helge Bruelheide, Catalina S. Ruz, Rui P. Vieira, Gary P. Thiede, Erin C. Keeley, James H. Brown, William R. Fraser, Pieter Provoost, Andrew S. Hoey, Robert J. Pabst, Kerry D. Woods, Fabiano Turini Farah, Nancy B. Rybicki, Sara E. Scanga, Trevor J. Willis, Daniel J. Metcalfe, Mark Williamson, Joshua S. Madin, Tasrif Kartawijaya, Brian J. McGill, Erica M. Sampaio, Shannan K. Crow, Stephen P. Hubbell, Jochen Schmidt, Daniel C. Reed, Steven Degraer, Laura H. Antão, Krzysztof Pabis, Christopher C. Koenig, Fernando Carvalho, Marcelo Vianna, Anne E. Magurran, Marc Estiarte, Rebecca Kinnear, Tracey Smart, Lesley T. Lancaster, Frank P. Day, Natalia Norden, Unai Cotano, Fábio Z. Farneda, Nelson Valdivia, Corinna Gries, Tomasz Wesołowski, Pedro Higuchi, Jungwon Kang, Randall W. Myster, Itai van Rijn, Oscar Pizarro, Michael L. Zettler, Simon Thorn, Thomas W. Sherry, Timothy E. Dunn, Tung-Yung Fan, Susan Boyd, Adrià López-Baucells, Tomáš Vrška, Tory J. Chase, Ruben Escribano, R. Williams, Carolina Mathias Moreira, John F. Chamblee, Con Quang Vu, Halvor Knutsen, Amanda E. Bates, Maria Dornelas, Kari Klanderud, Jorge Yoshio Tamashiro, Tom Moens, Sara L. Webb, Iain Matthews, Carl Van Colen, Chao-Yang Kuo, Caya Sievers, Faith A. M. Jones, Gary Haskins, Eric J. Woehler, J. Hans C. Cornelissen, Allen H. Hurlbert, Mia O. Hoogenboom, Pamela Hidalgo, Henry A. Ruhl, Brian S. Evans, Ørjan Totland, Lien Van Vu, Yzel Rondon Súarez, Gabriella Damasceno, Even Moland, John Harte, Andrew Naumov, Ethan P. White, Natália Macedo Ivanauskas, Systems Ecology, International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission of UNESCO, Oostende, Safety science group, Delft University of Technology (TU Delft), Institut Français de Pondichéry (IFP), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), Department of Biology [Pisa], University of Pisa - Università di Pisa, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Management Unit of the Mathematical Model of the North Sea, Royal Belgian Insitute of Natural Sciences, Floresta Estadual Assis, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), National Museum of Marine Biology and Aquarium, Universidade de São Paulo (USP), Polar Oceans Research Group [USA], Department of Zoology, Tel Aviv University [Tel Aviv], Norwegian Institute for Nature Research (NINA), EWHALE Laboratory of Biology and Wildlife Department, Institute of Arctic Biology-University of Alaska [Fairbanks] (UAF), Laboratory of Polar Biology and Oceanobiology, University of Lódź, Dept Ecol Evol Biol, Univ California SC (EEB-UCSC), University of California [Santa Cruz] (UCSC), University of California-University of California, Département de chimie-biologie & Centre d’études nordiques [CANADA], Université du Québec à Trois-Rivières (UQTR), Human Communication Technologies Research Laboratory (UBC), University of British Columbia (UBC), Instituto Espanol de Oceanografia, Instituto Español de Oceanografía, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Institute of Marine Research, Flødevigen Marine Research Station, Computer Laboratory [Cambridge], University of Cambridge [UK] (CAM), Aarhus University [Aarhus], Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre for Forest Research (CFR), Université du Québec à Montréal (UQAM), The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Centro de Investigación Oceanográfica en el Pacífico Sur Oriental (COPAS), Universidad de Concepción [Chile], Department of Biology, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Biological Science [Tallahassee], Florida State University [Tallahassee] (FSU), Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, WSL Institute for Snow and Avalanche Research SLF, Communication Systems Group [Zurich], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Academia Sinica, Facultad Ciencias del Mar, universidad catolica del Norte, Marine Biology Section, Ghent University [Belgium] (UGENT), Department of Avian Ecology, Wrocław University, Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Institute for Marine and Antarctic Studies [Horbat] (IMAS), University of Tasmania (UTAS), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), Dornelas, Maria, University of St Andrews. School of Biology, University of St Andrews. Fish Behaviour and Biodiversity Research Group, University of St Andrews. Marine Alliance for Science & Technology Scotland, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Institute of Behavioural and Neural Sciences, University of St Andrews. St Andrews Sustainability Institute, University of St Andrews. Centre for Research into Ecological & Environmental Modelling, University of St Andrews. Sediment Ecology Research Group, University of St Andrews. Centre for Higher Education Research, Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Universitat Autònoma de Barcelona (UAB), Universidade de São Paulo = University of São Paulo (USP), Tel Aviv University (TAU), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Flødevigen Research Station (IMR), Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB)-University of Bergen (UiB), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Université du Québec à Montréal = University of Québec in Montréal (UQAM), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Universidad de Concepción - University of Concepcion [Chile], University of Minnesota [Twin Cities] (UMN), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Universiteit Gent = Ghent University (UGENT), University of Wrocław [Poland] (UWr), Institute for Marine and Antarctic Studies [Hobart] (IMAS), University of Tasmania [Hobart, Australia] (UTAS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universiteit Gent = Ghent University [Belgium] (UGENT), Dornelas M., Antao L.H., Moyes F., Bates A.E., Magurran A.E., Adam D., Akhmetzhanova A.A., Appeltans W., Arcos J.M., Arnold H., Ayyappan N., Badihi G., Baird A.H., Barbosa M., Barreto T.E., Bassler C., Bellgrove A., Belmaker J., Benedetti-Cecchi L., Bett B.J., Bjorkman A.D., Blazewicz M., Blowes S.A., Bloch C.P., Bonebrake T.C., Boyd S., Bradford M., Brooks A.J., Brown J.H., Bruelheide H., Budy P., Carvalho F., Castaneda-Moya E., Chen C.A., Chamblee J.F., Chase T.J., Siegwart Collier L., Collinge S.K., Condit R., Cooper E.J., Cornelissen J.H.C., Cotano U., Kyle Crow S., Damasceno G., Davies C.H., Davis R.A., Day F.P., Degraer S., Doherty T.S., Dunn T.E., Durigan G., Duffy J.E., Edelist D., Edgar G.J., Elahi R., Elmendorf S.C., Enemar A., Ernest S.K.M., Escribano R., Estiarte M., Evans B.S., Fan T.-Y., Turini Farah F., Loureiro Fernandes L., Farneda F.Z., Fidelis A., Fitt R., Fosaa A.M., Daher Correa Franco G.A., Frank G.E., Fraser W.R., Garcia H., Cazzolla Gatti R., Givan O., Gorgone-Barbosa E., Gould W.A., Gries C., Grossman G.D., Gutierrez J.R., Hale S., Harmon M.E., Harte J., Haskins G., Henshaw D.L., Hermanutz L., Hidalgo P., Higuchi P., Hoey A., Van Hoey G., Hofgaard A., Holeck K., Hollister R.D., Holmes R., Hoogenboom M., Hsieh C.-H., Hubbell S.P., Huettmann F., Huffard C.L., Hurlbert A.H., Macedo Ivanauskas N., Janik D., Jandt U., Jazdzewska A., Johannessen T., Johnstone J., Jones J., Jones F.A.M., Kang J., Kartawijaya T., Keeley E.C., Kelt D.A., Kinnear R., Klanderud K., Knutsen H., Koenig C.C., Kortz A.R., Kral K., Kuhnz L.A., Kuo C.-Y., Kushner D.J., Laguionie-Marchais C., Lancaster L.T., Min Lee C., Lefcheck J.S., Levesque E., Lightfoot D., Lloret F., Lloyd J.D., Lopez-Baucells A., Louzao M., Madin J.S., Magnusson B., Malamud S., Matthews I., McFarland K.P., McGill B., McKnight D., McLarney W.O., Meador J., Meserve P.L., Metcalfe D.J., Meyer C.F.J., Michelsen A., Milchakova N., Moens T., Moland E., Moore J., Mathias Moreira C., Muller J., Murphy G., Myers-Smith I.H., Myster R.W., Naumov A., Neat F., Nelson J.A., Paul Nelson M., Newton S.F., Norden N., Oliver J.C., Olsen E.M., Onipchenko V.G., Pabis K., Pabst R.J., Paquette A., Pardede S., Paterson D.M., Pelissier R., Penuelas J., Perez-Matus A., Pizarro O., Pomati F., Post E., Prins H.H.T., Priscu J.C., Provoost P., Prudic K.L., Pulliainen E., Ramesh B.R., Mendivil Ramos O., Rassweiler A., Rebelo J.E., Reed D.C., Reich P.B., Remillard S.M., Richardson A.J., Richardson J.P., van Rijn I., Rocha R., Rivera-Monroy V.H., Rixen C., Robinson K.P., Ribeiro Rodrigues R., de Cerqueira Rossa-Feres D., Rudstam L., Ruhl H., Ruz C.S., Sampaio E.M., Rybicki N., Rypel A., Sal S., Salgado B., Santos F.A.M., Savassi-Coutinho A.P., Scanga S., Schmidt J., Schooley R., Setiawan F., Shao K.-T., Shaver G.R., Sherman S., Sherry T.W., Sicinski J., Sievers C., da Silva A.C., Rodrigues da Silva F., Silveira F.L., Slingsby J., Smart T., Snell S.J., Soudzilovskaia N.A., Souza G.B.G., Maluf Souza F., Castro Souza V., Stallings C.D., Stanforth R., Stanley E.H., Mauro Sterza J., Stevens M., Stuart-Smith R., Rondon Suarez Y., Supp S., Yoshio Tamashiro J., Tarigan S., Thiede G.P., Thorn S., Tolvanen A., Teresa Zugliani Toniato M., Totland O., Twilley R.R., Vaitkus G., Valdivia N., Vallejo M.I., Valone T.J., Van Colen C., Vanaverbeke J., Venturoli F., Verheye H.M., Vianna M., Vieira R.P., Vrska T., Quang Vu C., Van Vu L., Waide R.B., Waldock C., Watts D., Webb S., Wesolowski T., White E.P., Widdicombe C.E., Wilgers D., Williams R., Williams S.B., Williamson M., Willig M.R., Willis T.J., Wipf S., Woods K.D., Woehler E.J., Zawada K., Zettler M.L., The Wellcome Trust, European Research Council, and University of St Andrews. Centre for Biological Diversity

Subjects
Data Papers, 0106 biological sciences, Range (biology), QH301 Biology, temporal, NERC, Biodiversity, Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP], BIALOWIEZA NATIONAL-PARK, special, computer.software_genre, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, species richness, SDG 15 - Life on Land, biodiversity, Global and Planetary Change, B003-ecology, Database, Ecology, Sampling (statistics), SIMULATED HERBIVORY, supporting technologies, LAND-BRIDGE ISLANDS, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, global, PRIMEVAL TEMPERATE FOREST, Geography, POPULATION TRENDS, turnover, Data Paper, SECONDARY FOREST, Evolution, ESTUARINE COASTAL LAGOON, 010603 evolutionary biology, QH301, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Behavior and Systematics, Anthropocene, spatial, Ecology, Evolution, Behavior and Systematics, VDP::Mathematics and natural science: 400::Zoology and botany: 480, species richne, 14. Life underwater, SDG 14 - Life Below Water, NE/L002531/1, ZA4450, Relative species abundance, ZA4450 Databases, 010604 marine biology & hydrobiology, RCUK, Biology and Life Sciences, DAS, 15. Life on land, DECIDUOUS FOREST, Taxon, Fish, 13. Climate action, MCP, Wildlife Ecology and Conservation, LONG-TERM CHANGE, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer, BIRD COMMUNITY DYNAMICS, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
Abstract

Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL., Global Ecology and Biogeography, 27 (7), ISSN:1466-822X, ISSN:1466-8238

Published
2018

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