TY  - JOUR
A1  - Bousquet, J.
A1  - Farrell, J.
A1  - Crooks, G.
A1  - Hellings, P.
A1  - Bel, E. H.
A1  - Bewick, M.
A1  - Chavannes, N. H.
A1  - Correia de Sousa, J.
A1  - Cruz, A. A.
A1  - Haahtela, T.
A1  - Joos, G.
A1  - Khaltaev, N.
A1  - Malva, J.
A1  - Muraro, A.
A1  - Nogues, M.
A1  - Palkonen, S.
A1  - Pedersen, S.
A1  - Robalo-Cordeiro, C.
A1  - Samolinski, B.
A1  - Strandberg, T.
A1  - Valiulis, A.
A1  - Yorgancioglu, A.
A1  - Zuberbier, T.
A1  - Bedbrook, A.
A1  - Aberer, W.
A1  - Adachi, M.
A1  - Agusti, A.
A1  - Akdis, C. A.
A1  - Akdis, M.
A1  - Ankri, J.
A1  - Alonso, A.
A1  - Annesi-Maesano, I.
A1  - Ansotegui, I. J.
A1  - Anto, J. M.
A1  - Arnavielhe, S.
A1  - Arshad, H.
A1  - Bai, C.
A1  - Baiardini, I.
A1  - Bachert, C.
A1  - Baigenzhin, A. K.
A1  - Barbara, C.
A1  - Bateman, E. D.
A1  - Beghé, B.
A1  - Ben Kheder, A.
A1  - Bennoor, K. S.
A1  - Benson, M.
A1  - Bergmann, K. C.
A1  - Bieber, T.
A1  - Bindslev-Jensen, C.
A1  - Bjermer, L.
A1  - Blain, H.
A1  - Blasi, F.
A1  - Boner, A. L.
A1  - Bonini, M.
A1  - Bonini, S.
A1  - Bosnic-Anticevitch, S.
A1  - Boulet, L. P.
A1  - Bourret, R.
A1  - Bousquet, P. J.
A1  - Braido, F.
A1  - Briggs, A. H.
A1  - Brightling, C. E.
A1  - Brozek, J.
A1  - Buhl, R.
A1  - Burney, P. G.
A1  - Bush, A.
A1  - Caballero-Fonseca, F.
A1  - Caimmi, D.
A1  - Calderon, M. A.
A1  - Calverley, P. M.
A1  - Camargos, P. A. M.
A1  - Canonica, G. W.
A1  - Camuzat, T.
A1  - Carlsen, K. H.
A1  - Carr, W.
A1  - Carriazo, A.
A1  - Casale, T.
A1  - Cepeda Sarabia, A. M.
A1  - Chatzi, L.
A1  - Chen, Y. Z.
A1  - Chiron, R.
A1  - Chkhartishvili, E.
A1  - Chuchalin, A. G.
A1  - Chung, K. F.
A1  - Ciprandi, G.
A1  - Cirule, I.
A1  - Cox, L.
A1  - Costa, D. J.
A1  - Custovic, A.
A1  - Dahl, R.
A1  - Dahlen, S. E.
A1  - Darsow, U.
A1  - De Carlo, G.
A1  - De Blay, F.
A1  - Dedeu, T.
A1  - Deleanu, D.
A1  - De Manuel Keenoy, E.
A1  - Demoly, P.
A1  - Denburg, J. A.
A1  - Devillier, P.
A1  - Didier, A.
A1  - Dinh-Xuan, A. T.
A1  - Djukanovic, R.
A1  - Dokic, D.
A1  - Douagui, H.
A1  - Dray, G.
A1  - Dubakiene, R.
A1  - Durham, S. R.
A1  - Dykewicz, M. S.
A1  - El-Gamal, Y.
A1  - Emuzyte, R.
A1  - Fabbri, L. M.
A1  - Fletcher, M.
A1  - Fiocchi, A.
A1  - Fink Wagner, A.
A1  - Fonseca, J.
A1  - Fokkens, W. J.
A1  - Forastiere, F.
A1  - Frith, P.
A1  - Gaga, M.
A1  - Gamkrelidze, A.
A1  - Garces, J.
A1  - Garcia-Aymerich, J.
A1  - Gemicioğlu, B.
A1  - Gereda, J. E.
A1  - González Diaz, S.
A1  - Gotua, M.
A1  - Grisle, I.
A1  - Grouse, L.
A1  - Gutter, Z.
A1  - Guzmán, M. A.
A1  - Heaney, L. G.
A1  - Hellquist-Dahl, B.
A1  - Henderson, D.
A1  - Hendry, A.
A1  - Heinrich, J.
A1  - Heve, D.
A1  - Horak, F.
A1  - Hourihane, J. O’. B.
A1  - Howarth, P.
A1  - Humbert, M.
A1  - Hyland, M. E.
A1  - Illario, M.
A1  - Ivancevich, J. C.
A1  - Jardim, J. R.
A1  - Jares, E. J.
A1  - Jeandel, C.
A1  - Jenkins, C.
A1  - Johnston, S. L.
A1  - Jonquet, O.
A1  - Julge, K.
A1  - Jung, K. S.
A1  - Just, J.
A1  - Kaidashev, I.
A1  - Kaitov, M. R.
A1  - Kalayci, O.
A1  - Kalyoncu, A. F.
A1  - Keil, T.
A1  - Keith, P. K.
A1  - Klimek, L.
A1  - Koffi N’Goran, B.
A1  - Kolek, V.
A1  - Koppelman, G. H.
A1  - Kowalski, M. L.
A1  - Kull, I.
A1  - Kuna, P.
A1  - Kvedariene, V.
A1  - Lambrecht, B.
A1  - Lau, S.
A1  - Larenas‑Linnemann, D.
A1  - Laune, D.
A1  - Le, L. T. T.
A1  - Lieberman, P.
A1  - Lipworth, B.
A1  - Li, J.
A1  - Lodrup Carlsen, K.
A1  - Louis, R.
A1  - MacNee, W.
A1  - Magard, Y.
A1  - Magnan, A.
A1  - Mahboub, B.
A1  - Mair, A.
A1  - Majer, I.
A1  - Makela, M. J.
A1  - Manning, P.
A1  - Mara, S.
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A1  - Masjedi, M. R.
A1  - Matignon, P.
A1  - Maurer, M.
A1  - Mavale‑Manuel, S.
A1  - Melén, E.
A1  - Melo‑Gomes, E.
A1  - Meltzer, E. O.
A1  - Menzies‑Gow, A.
A1  - Merk, H.
A1  - Michel, J. P.
A1  - Miculinic, N.
A1  - Mihaltan, F.
A1  - Milenkovic, B.
A1  - Mohammad, G. M. Y.
A1  - Molimard, M.
A1  - Momas, I.
A1  - Montilla‑Santana, A.
A1  - Morais‑Almeida, M.
A1  - Morgan, M.
A1  - Mösges, R.
A1  - Mullol, J.
A1  - Nafti, S.
A1  - Namazova‑Baranova, L.
A1  - Naclerio, R.
A1  - Neou, A.
A1  - Neffen, H.
A1  - Nekam, K.
A1  - Niggemann, B.
A1  - Ninot, G.
A1  - Nyembue, T. D.
A1  - O’Hehir, R. E.
A1  - Ohta, K.
A1  - Okamoto, Y.
A1  - Okubo, K.
A1  - Ouedraogo, S.
A1  - Paggiaro, P.
A1  - Pali‑Schöll, I.
A1  - Panzner, P.
A1  - Papadopoulos, N.
A1  - Papi, A.
A1  - Park, H. S.
A1  - Passalacqua, G.
A1  - Pavord, I.
A1  - Pawankar, R.
A1  - Pengelly, R.
A1  - Pfaar, O.
A1  - Picard, R.
A1  - Pigearias, B.
A1  - Pin, I.
A1  - Plavec, D.
A1  - Poethig, D.
A1  - Pohl, W.
A1  - Popov, T. A.
A1  - Portejoie, F.
A1  - Potter, P.
A1  - Postma, D.
A1  - Price, D.
A1  - Rabe, K. F.
A1  - Raciborski, F.
A1  - Radier Pontal, F.
A1  - Repka‑Ramirez, S.
A1  - Reitamo, S.
A1  - Rennard, S.
A1  - Rodenas, F.
A1  - Roberts, J.
A1  - Roca, J.
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T1  - Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)
JF  - Clinical and Translational Allergy
N2  - 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.
KW  - EIP on AHA
KW  - European Innovation Partnership on Active and Healthy Ageing
KW  - AIRWAYS ICPs
KW  - MACVIA
KW  - Scaling up
KW  - Chronic respiratory diseases
KW  - ARIA
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166874
VL  - 6
IS  - 29
ER  - 
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.
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A1  - Onipchenko, V. G.
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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  -