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  - Banales, Jesus M.
A1  - Cardinale, Vincenzo
A1  - Carpino, Guido
A1  - Marzioni, Marco
A1  - Andersen, Jesper B.
A1  - Invernizzi, Pietro
A1  - Lind, Guro E.
A1  - Folseraas, Trine
A1  - Forbes, Stuart J.
A1  - Fouassier, Laura
A1  - Geier, Andreas
A1  - Calvisi, Diego F.
A1  - Mertens, Joachim C.
A1  - Trauner, Michael
A1  - Benedetti, Antonio
A1  - Maroni, Luca
A1  - Vaquero, Javier
A1  - Macias, Rocio I. R.
A1  - Raggi, Chiara
A1  - Perugorria, Maria J.
A1  - Gaudio, Eugenio
A1  - Boberg, Kirsten M.
A1  - Marin, Jose J. G.
A1  - Alvaro, Domenico
T1  - Cholangiocarcinoma: current knowledge and future perspectives consensus statement from the European Network for the Study of Cholangiocarcinoma (ENS-CCA)
JF  - Nature Reviews Gastroenterology & Hepatology
N2  - Cholangiocarcinoma (CCA) is a heterogeneous group of malignancies with features of biliary tract differentiation. CCA is the second most common primary liver tumour and the incidence is increasing worldwide. CCA has high mortality owing to its aggressiveness, late diagnosis and refractory nature. In May 2015, the "European Network for the Study of Cholangiocarcinoma" (ENS-CCA: www.enscca.org or www.cholangiocarcinoma.eu) was created to promote and boost international research collaboration on the study of CCA at basic, translational and clinical level. In this Consensus Statement, we aim to provide valuable information on classifications, pathological features, risk factors, cells of origin, genetic and epigenetic modifications and current therapies available for this cancer. Moreover, future directions on basic and clinical investigations and plans for the ENS-CCA are highlighted.
KW  - primary sclerosing cholangitis
KW  - growth-factor-receptor
KW  - biliary-tract cancer
KW  - epithelial-mesenchymal transition
KW  - fine-needle-aspiration
KW  - human intrahepatic cholangiocarcinoma
KW  - induce cyclooxygenase-2 expression
KW  - human cholangiocellular carcinoma
KW  - nucleoside transporter
KW  - hepatic stellate cells
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-189077
VL  - 13
IS  - 5
ER  -