TY - JOUR A1 - Thomas, H. J. D. A1 - Myers‐Smith, I. H. A1 - Bjorkman, A. D. A1 - Elmendorf, S. C. A1 - Blok, D. A1 - Cornelissen, J. H. C. A1 - Forbes, B. C. A1 - Hollister, R. D. A1 - Normand, S. A1 - Prevéy, J. S. A1 - Rixen, C. A1 - Schaepman‐Strub, G. A1 - Wilmking, M. A1 - Wipf, S. A1 - Cornwell, W. K. A1 - Kattge, J. A1 - Goetz, S. J. A1 - Guay, K. C. A1 - Alatalo, J. M. A1 - Anadon‐Rosell, A. A1 - Angers‐Blondin, S. A1 - Berner, L. T. A1 - Björk, R. G. A1 - Buchwal, A. A1 - Buras, A. A1 - Carbognani, M. A1 - Christie, K. A1 - Siegwart Collier, L. A1 - Cooper, E. J. A1 - Eskelinen, A. A1 - Frei, E. R. A1 - Grau, O. A1 - Grogan, P. A1 - Hallinger, M. A1 - Heijmans, M. M. P. D. A1 - Hermanutz, L. A1 - Hudson, J. M. G. A1 - Hülber, K. A1 - Iturrate‐Garcia, M. A1 - Iversen, C. M. A1 - Jaroszynska, F. A1 - Johnstone, J. F. A1 - Kaarlejärvi, E. A1 - Kulonen, A. A1 - Lamarque, L. J. A1 - Lévesque, E. A1 - Little, C. J. A1 - Michelsen, A. A1 - Milbau, A. A1 - Nabe‐Nielsen, J. A1 - Nielsen, S. S. A1 - Ninot, J. M. A1 - Oberbauer, S. F. A1 - Olofsson, J. A1 - Onipchenko, V. G. A1 - Petraglia, A. A1 - Rumpf, S. B. A1 - Semenchuk, P. R. A1 - Soudzilovskaia, N. A. A1 - Spasojevic, M. J. A1 - Speed, J. D. M. A1 - Tape, K. D. A1 - te Beest, M. A1 - Tomaselli, M. A1 - Trant, A. A1 - Treier, U. A. A1 - Venn, S. A1 - Vowles, T. A1 - Weijers, S. A1 - Zamin, T. A1 - Atkin, O. K. A1 - Bahn, M. A1 - Blonder, B. A1 - Campetella, G. A1 - Cerabolini, B. E. L. A1 - Chapin III, F. S. A1 - Dainese, M. A1 - de Vries, F. T. A1 - Díaz, S. A1 - Green, W. A1 - Jackson, R. B. A1 - Manning, P. A1 - Niinemets, Ü. A1 - Ozinga, W. A. A1 - Peñuelas, J. A1 - Reich, P. B. A1 - Schamp, B. A1 - Sheremetev, S. A1 - van Bodegom, P. M. T1 - Traditional plant functional groups explain variation in economic but not size-related traits across the tundra biome JF - Global Ecology and Biogeography N2 - 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 proportion 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 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. Results Traditional 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 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 functional group approaches to predict tundra vegetation change, or ecosystem functions 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. KW - cluster analysis KW - community composition KW - ecosystem function KW - plant functional groups KW - plant functional types KW - plant traits KW - tundra biome KW - vegetation change Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-241310 VL - 28 ER - TY - JOUR A1 - Hudson, Lawrence N. A1 - Newbold, Tim A1 - Contu, Sara A1 - Hill, Samantha L. L. A1 - Lysenko, Igor A1 - De Palma, Adriana A1 - Phillips, Helen R. P. A1 - Senior, Rebecca A. A1 - Bennett, Dominic J. A1 - Booth, Hollie A1 - Choimes, Argyrios A1 - Correia, David L. P. A1 - Day, Julie A1 - Echeverria-Londono, Susy A1 - Garon, Morgan A1 - Harrison, Michelle L. K. A1 - Ingram, Daniel J. A1 - Jung, Martin A1 - Kemp, Victoria A1 - Kirkpatrick, Lucinda A1 - Martin, Callum D. A1 - Pan, Yuan A1 - White, Hannah J. A1 - Aben, Job A1 - Abrahamczyk, Stefan A1 - Adum, Gilbert B. A1 - Aguilar-Barquero, Virginia A1 - Aizen, Marcelo A1 - Ancrenaz, Marc A1 - Arbelaez-Cortes, Enrique A1 - Armbrecht, Inge A1 - Azhar, Badrul A1 - Azpiroz, Adrian B. A1 - Baeten, Lander A1 - Báldi, András A1 - Banks, John E. A1 - Barlow, Jos A1 - Batáry, Péter A1 - Bates, Adam J. A1 - Bayne, Erin M. A1 - Beja, Pedro A1 - Berg, Ake A1 - Berry, Nicholas J. A1 - Bicknell, Jake E. A1 - Bihn, Jochen H. A1 - Böhning-Gaese, Katrin A1 - Boekhout, Teun A1 - Boutin, Celine A1 - Bouyer, Jeremy A1 - Brearley, Francis Q. A1 - Brito, Isabel A1 - Brunet, Jörg A1 - Buczkowski, Grzegorz A1 - Buscardo, Erika A1 - Cabra-Garcia, Jimmy A1 - Calvino-Cancela, Maria A1 - Cameron, Sydney A. A1 - Cancello, Eliana M. A1 - Carrijo, Tiago F. A1 - Carvalho, Anelena L. A1 - Castro, Helena A1 - Castro-Luna, Alejandro A. A1 - Cerda, Rolando A1 - Cerezo, Alexis A1 - Chauvat, Matthieu A1 - Clarke, Frank M. A1 - Cleary, Daniel F. R. A1 - Connop, Stuart P. A1 - D'Aniello, Biagio A1 - da Silva, Pedro Giovani A1 - Darvill, Ben A1 - Dauber, Jens A1 - Dejean, Alain A1 - Diekötter, Tim A1 - Dominguez-Haydar, Yamileth A1 - Dormann, Carsten F. A1 - Dumont, Bertrand A1 - Dures, Simon G. A1 - Dynesius, Mats A1 - Edenius, Lars A1 - Elek, Zoltán A1 - Entling, Martin H. A1 - Farwig, Nina A1 - Fayle, Tom M. A1 - Felicioli, Antonio A1 - Felton, Annika M. A1 - Ficetola, Gentile F. A1 - Filgueiras, Bruno K. C. A1 - Fonte, Steve J. A1 - Fraser, Lauchlan H. A1 - Fukuda, Daisuke A1 - Furlani, Dario A1 - Ganzhorn, Jörg U. A1 - Garden, Jenni G. A1 - Gheler-Costa, Carla A1 - Giordani, Paolo A1 - Giordano, Simonetta A1 - Gottschalk, Marco S. A1 - Goulson, Dave A1 - Gove, Aaron D. A1 - Grogan, James A1 - Hanley, Mick E. A1 - Hanson, Thor A1 - Hashim, Nor R. A1 - Hawes, Joseph E. A1 - Hébert, Christian A1 - Helden, Alvin J. A1 - Henden, John-André A1 - Hernández, Lionel A1 - Herzog, Felix A1 - Higuera-Diaz, Diego A1 - Hilje, Branko A1 - Horgan, Finbarr G. A1 - Horváth, Roland A1 - Hylander, Kristoffer A1 - Horváth, Roland A1 - Isaacs-Cubides, Paola A1 - Ishitani, Mashiro A1 - Jacobs, Carmen T. A1 - Jaramillo, Victor J. A1 - Jauker, Birgit A1 - Jonsell, Matts A1 - Jung, Thomas S. A1 - Kapoor, Vena A1 - Kati, Vassiliki A1 - Katovai, Eric A1 - Kessler, Michael A1 - Knop, Eva A1 - Kolb, Annette A1 - Körösi, Àdám A1 - Lachat, Thibault A1 - Lantschner, Victoria A1 - Le Féon, Violette A1 - LeBuhn, Gretchen A1 - Légaré, Jean-Philippe A1 - Letcher, Susan G. A1 - Littlewood, Nick A. A1 - López-Quintero, Carlos A. A1 - Louhaichi, Mounir A1 - Lövei, Gabor L. A1 - Lucas-Borja, Manuel Esteban A1 - Luja, Victor H. A1 - Maeto, Kaoru A1 - Magura, Tibor A1 - Mallari, Neil Aldrin A1 - Marin-Spiotta, Erika A1 - Marhall, E. J. P. A1 - Martínez, Eliana A1 - Mayfield, Margaret M. A1 - Mikusinski, Gregorz A1 - Milder, Jeffery C. A1 - Miller, James R. A1 - Morales, Carolina L. A1 - Muchane, Mary N. A1 - Muchane, Muchai A1 - Naidoo, Robin A1 - Nakamura, Akihiro A1 - Naoe, Shoji A1 - Nates-Parra, Guiomar A1 - Navarerete Gutierrez, Dario A. A1 - Neuschulz, Eike L. A1 - Noreika, Norbertas A1 - Norfolk, Olivia A1 - Noriega, Jorge Ari A1 - Nöske, Nicole M. A1 - O'Dea, Niall A1 - Oduro, William A1 - Ofori-Boateng, Caleb A1 - Oke, Chris O. A1 - Osgathorpe, Lynne M. A1 - Paritsis, Juan A1 - Parrah, Alejandro A1 - Pelegrin, Nicolás A1 - Peres, Carlos A. A1 - Persson, Anna S. A1 - Petanidou, Theodora A1 - Phalan, Ben A1 - Philips, T. Keith A1 - Poveda, Katja A1 - Power, Eileen F. A1 - Presley, Steven J. A1 - Proença, Vânia A1 - Quaranta, Marino A1 - Quintero, Carolina A1 - Redpath-Downing, Nicola A. A1 - Reid, J. Leighton A1 - Reis, Yana T. A1 - Ribeiro, Danilo B. A1 - Richardson, Barbara A. A1 - Richardson, Michael J. A1 - Robles, Carolina A. A1 - Römbke, Jörg A1 - Romero-Duque, Luz Piedad A1 - Rosselli, Loreta A1 - Rossiter, Stephen J. A1 - Roulston, T'ai H. A1 - Rousseau, Laurent A1 - Sadler, Jonathan P. A1 - Sáfián, Szbolcs A1 - Saldaña-Vásquez, Romeo A. A1 - Samnegård, Ulrika A1 - Schüepp, Christof A1 - Schweiger, Oliver A1 - Sedlock, Jodi L. A1 - Shahabuddin, Ghazala A1 - Sheil, Douglas A1 - Silva, Fernando A. B. A1 - Slade, Eleanor A1 - Smith-Pardo, Allan H. A1 - Sodhi, Navjot S. A1 - Somarriba, Eduardo J. A1 - Sosa, Ramón A. A1 - Stout, Jane C. A1 - Struebig, Matthew J. A1 - Sung, Yik-Hei A1 - Threlfall, Caragh G. A1 - Tonietto, Rebecca A1 - Tóthmérész, Béla A1 - Tscharntke, Teja A1 - Turner, Edgar C. A1 - Tylianakis, Jason M. A1 - Vanbergen, Adam J. A1 - Vassilev, Kiril A1 - Verboven, Hans A. F. A1 - Vergara, Carlos H. A1 - Vergara, Pablo M. A1 - Verhulst, Jort A1 - Walker, Tony R. A1 - Wang, Yanping A1 - Watling, James I. A1 - Wells, Konstans A1 - Williams, Christopher D. A1 - Willig, Michael R. A1 - Woinarski, John C. Z. A1 - Wolf, Jan H. D. A1 - Woodcock, Ben A. A1 - Yu, Douglas W. A1 - Zailsev, Andreys A1 - Collen, Ben A1 - Ewers, Rob M. A1 - Mace, Georgina M. A1 - Purves, Drew W. A1 - Scharlemann, Jörn P. W. A1 - Pervis, Andy T1 - The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts JF - Ecology and Evolution N2 - Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. KW - urban-rural gradient KW - instensively managed farmland KW - Mexican coffee plantations KW - Bombus Spp. Hymenoptera KW - bumblebee nest density KW - data sharing KW - land use KW - habitat destruction KW - global change KW - land-use change KW - plant community composition KW - Northeastern Costa Rica KW - dung beetle coleoptera KW - bird species richness Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114425 VL - 4 IS - 24 ER - TY - JOUR A1 - Marenholz, Ingo A1 - Esparza-Gordillo, Jorge A1 - Rüschendorf, Franz A1 - Bauerfeind, Anja A1 - Strachan, David P. A1 - Spycher, Ben D. A1 - Baurecht, Hansjörg A1 - Magaritte-Jeannin, Patricia A1 - Sääf, Annika A1 - Kerkhof, Marjan A1 - Ege, Markus A1 - Baltic, Svetlana A1 - Matheson, Melanie C. A1 - Li, Jin A1 - Michel, Sven A1 - Ang, Wei Q. A1 - McArdle, Wendy A1 - Arnold, Andreas A1 - Homuth, Georg A1 - Demenais, Florence A1 - Bouzigon, Emmanuelle A1 - Söderhäll, Cilla A1 - Pershagen, Göran A1 - de Jongste, Johan C. A1 - Postma, Dirkje S. A1 - Braun-Fahrländer, Charlotte A1 - Horak, Elisabeth A1 - Ogorodova, Ludmila M. A1 - Puzyrev, Valery P. A1 - Bragina, Elena Yu A1 - Hudson, Thomas J. A1 - Morin, Charles A1 - Duffy, David L. A1 - Marks, Guy B. A1 - Robertson, Colin F. A1 - Montgomery, Grant W. A1 - Musk, Bill A1 - Thompson, Philip J. A1 - Martin, Nicholas G. A1 - James, Alan A1 - Sleiman, Patrick A1 - Toskala, Elina A1 - Rodriguez, Elke A1 - Fölster-Holst, Regina A1 - Franke, Andre A1 - Lieb, Wolfgang A1 - Gieger, Christian A1 - Heinzmann, Andrea A1 - Rietschel, Ernst A1 - Keil, Thomas A1 - Cichon, Sven A1 - Nöthen, Markus M. A1 - Pennel, Craig E. A1 - Sly, Peter D. A1 - Schmidt, Carsten O. A1 - Matanovic, Anja A1 - Schneider, Valentin A1 - Heinig, Matthias A1 - Hübner, Norbert A1 - Holt, Patrick G. A1 - Lau, Susanne A1 - Kabesch, Michael A1 - Weidinger, Stefan A1 - Hakonarson, Hakon A1 - Ferreira, Manuel A. R. A1 - Laprise, Catherine A1 - Freidin, Maxim B. A1 - Genuneit, Jon A1 - Koppelman, Gerard H. A1 - Melén, Erik A1 - Dizier, Marie-Hélène A1 - Henderson, A. John A1 - Lee, Young Ae T1 - Meta-analysis identifies seven susceptibility loci involved in the atopic march JF - Nature Communications N2 - Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema. KW - chromosome 11Q13 KW - risk KW - genomewide association KW - hay fever KW - birth cohort KW - filaggrin mutations KW - food allergy KW - juvenile myoclonic epilepsy KW - childhood asthma KW - dermatitis Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139835 VL - 6 IS - 8804 ER -