@article{BousquetFarrellCrooksetal.2016,
  author    = {Bousquet, J. and Farrell, J. and Crooks, G. and Hellings, P. and Bel, E. H. and Bewick, M. and Chavannes, N. H. and Correia de Sousa, J. and Cruz, A. A. and Haahtela, T. and Joos, G. and Khaltaev, N. and Malva, J. and Muraro, A. and Nogues, M. and Palkonen, S. and Pedersen, S. and Robalo-Cordeiro, C. and Samolinski, B. and Strandberg, T. and Valiulis, A. and Yorgancioglu, A. and Zuberbier, T. and Bedbrook, A. and Aberer, W. and Adachi, M. and Agusti, A. and Akdis, C. A. and Akdis, M. and Ankri, J. and Alonso, A. and Annesi-Maesano, I. and Ansotegui, I. J. and Anto, J. M. and Arnavielhe, S. and Arshad, H. and Bai, C. and Baiardini, I. and Bachert, C. and Baigenzhin, A. K. and Barbara, C. and Bateman, E. D. and Begh{\´e}, B. and Ben Kheder, A. and Bennoor, K. S. and Benson, M. and Bergmann, K. C. and Bieber, T. and Bindslev-Jensen, C. and Bjermer, L. and Blain, H. and Blasi, F. and Boner, A. L. and Bonini, M. and Bonini, S. and Bosnic-Anticevitch, S. and Boulet, L. P. and Bourret, R. and Bousquet, P. J. and Braido, F. and Briggs, A. H. and Brightling, C. E. and Brozek, J. and Buhl, R. and Burney, P. G. and Bush, A. and Caballero-Fonseca, F. and Caimmi, D. and Calderon, M. A. and Calverley, P. M. and Camargos, P. A. M. and Canonica, G. W. and Camuzat, T. and Carlsen, K. H. and Carr, W. and Carriazo, A. and Casale, T. and Cepeda Sarabia, A. M. and Chatzi, L. and Chen, Y. Z. and Chiron, R. and Chkhartishvili, E. and Chuchalin, A. G. and Chung, K. F. and Ciprandi, G. and Cirule, I. and Cox, L. and Costa, D. J. and Custovic, A. and Dahl, R. and Dahlen, S. E. and Darsow, U. and De Carlo, G. and De Blay, F. and Dedeu, T. and Deleanu, D. and De Manuel Keenoy, E. and Demoly, P. and Denburg, J. A. and Devillier, P. and Didier, A. and Dinh-Xuan, A. T. and Djukanovic, R. and Dokic, D. and Douagui, H. and Dray, G. and Dubakiene, R. and Durham, S. R. and Dykewicz, M. S. and El-Gamal, Y. and Emuzyte, R. and Fabbri, L. M. and Fletcher, M. and Fiocchi, A. and Fink Wagner, A. and Fonseca, J. and Fokkens, W. J. and Forastiere, F. and Frith, P. and Gaga, M. and Gamkrelidze, A. and Garces, J. and Garcia-Aymerich, J. and Gemicioğlu, B. and Gereda, J. E. and Gonz{\´a}lez Diaz, S. and Gotua, M. and Grisle, I. and Grouse, L. and Gutter, Z. and Guzm{\´a}n, M. A. and Heaney, L. G. and Hellquist-Dahl, B. and Henderson, D. and Hendry, A. and Heinrich, J. and Heve, D. and Horak, F. and Hourihane, J. O'. B. and Howarth, P. and Humbert, M. and Hyland, M. E. and Illario, M. and Ivancevich, J. C. and Jardim, J. R. and Jares, E. J. and Jeandel, C. and Jenkins, C. and Johnston, S. L. and Jonquet, O. and Julge, K. and Jung, K. S. and Just, J. and Kaidashev, I. and Kaitov, M. R. and Kalayci, O. and Kalyoncu, A. F. and Keil, T. and Keith, P. K. and Klimek, L. and Koffi N'Goran, B. and Kolek, V. and Koppelman, G. H. and Kowalski, M. L. and Kull, I. and Kuna, P. and Kvedariene, V. and Lambrecht, B. and Lau, S. and Larenas‑Linnemann, D. and Laune, D. and Le, L. T. T. and Lieberman, P. and Lipworth, B. and Li, J. and Lodrup Carlsen, K. and Louis, R. and MacNee, W. and Magard, Y. and Magnan, A. and Mahboub, B. and Mair, A. and Majer, I. and Makela, M. J. and Manning, P. and Mara, S. and Marshall, G. D. and Masjedi, M. R. and Matignon, P. and Maurer, M. and Mavale‑Manuel, S. and Mel{\´e}n, E. and Melo‑Gomes, E. and Meltzer, E. O. and Menzies‑Gow, A. and Merk, H. and Michel, J. P. and Miculinic, N. and Mihaltan, F. and Milenkovic, B. and Mohammad, G. M. Y. and Molimard, M. and Momas, I. and Montilla‑Santana, A. and Morais‑Almeida, M. and Morgan, M. and M{\"o}sges, R. and Mullol, J. and Nafti, S. and Namazova‑Baranova, L. and Naclerio, R. and Neou, A. and Neffen, H. and Nekam, K. and Niggemann, B. and Ninot, G. and Nyembue, T. D. and O'Hehir, R. E. and Ohta, K. and Okamoto, Y. and Okubo, K. and Ouedraogo, S. and Paggiaro, P. and Pali‑Sch{\"o}ll, I. and Panzner, P. and Papadopoulos, N. and Papi, A. and Park, H. S. and Passalacqua, G. and Pavord, I. and Pawankar, R. and Pengelly, R. and Pfaar, O. and Picard, R. and Pigearias, B. and Pin, I. and Plavec, D. and Poethig, D. and Pohl, W. and Popov, T. A. and Portejoie, F. and Potter, P. and Postma, D. and Price, D. and Rabe, K. F. and Raciborski, F. and Radier Pontal, F. and Repka‑Ramirez, S. and Reitamo, S. and Rennard, S. and Rodenas, F. and Roberts, J. and Roca, J. and Rodriguez Ma{\~n}as, L. and et al,},
  title     = {Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)},
  series = {Clinical and Translational Allergy},
  volume    = {6},
  journal   = {Clinical and Translational Allergy},
  number    = {29},
  doi       = {10.1186/s13601-016-0116-9},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166874},
  year      = {2016},
  abstract  = {Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.},
  language  = {en}
}
@article{ThomasMyers‐SmithBjorkmanetal.2019,
  author    = {Thomas, H. J. D. and Myers-Smith, I. H. and Bjorkman, A. D. and Elmendorf, S. C. and Blok, D. and Cornelissen, J. H. C. and Forbes, B. C. and Hollister, R. D. and Normand, S. and Prev{\´e}y, J. S. and Rixen, C. and Schaepman-Strub, G. and Wilmking, M. and Wipf, S. and Cornwell, W. K. and Kattge, J. and Goetz, S. J. and Guay, K. C. and Alatalo, J. M. and Anadon-Rosell, A. and Angers-Blondin, S. and Berner, L. T. and Bj{\"o}rk, R. G. and Buchwal, A. and Buras, A. and Carbognani, M. and Christie, K. and Siegwart Collier, L. and Cooper, E. J. and Eskelinen, A. and Frei, E. R. and Grau, O. and Grogan, P. and Hallinger, M. and Heijmans, M. M. P. D. and Hermanutz, L. and Hudson, J. M. G. and H{\"u}lber, K. and Iturrate-Garcia, M. and Iversen, C. M. and Jaroszynska, F. and Johnstone, J. F. and Kaarlej{\"a}rvi, E. and Kulonen, A. and Lamarque, L. J. and L{\´e}vesque, E. and Little, C. J. and Michelsen, A. and Milbau, A. and Nabe-Nielsen, J. and Nielsen, S. S. and Ninot, J. M. and Oberbauer, S. F. and Olofsson, J. and Onipchenko, V. G. and Petraglia, A. and Rumpf, S. B. and Semenchuk, P. R. and Soudzilovskaia, N. A. and Spasojevic, M. J. and Speed, J. D. M. and Tape, K. D. and te Beest, M. and Tomaselli, M. and Trant, A. and Treier, U. A. and Venn, S. and Vowles, T. and Weijers, S. and Zamin, T. and Atkin, O. K. and Bahn, M. and Blonder, B. and Campetella, G. and Cerabolini, B. E. L. and Chapin III, F. S. and Dainese, M. and de Vries, F. T. and D{\´i}az, S. and Green, W. and Jackson, R. B. and Manning, P. and Niinemets, {\"U}. and Ozinga, W. A. and Pe{\~n}uelas, J. and Reich, P. B. and Schamp, B. and Sheremetev, S. and van Bodegom, P. M.},
  title     = {Traditional plant functional groups explain variation in economic but not size-related traits across the tundra biome},
  series = {Global Ecology and Biogeography},
  volume    = {28},
  journal   = {Global Ecology and Biogeography},
  doi       = {10.1111/geb.12783},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-241310},
  pages     = {78-95},
  year      = {2019},
  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 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.},
  language  = {en}
}