Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 546207
Title Traditional plant functional groups explain variation in economic but not size-related traits across the tundra biome
Author(s) 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.; 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.; Heijman, 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.; Beest, M. Te; Vries, F.T. de; Ozinga, W.A.; Bodegom, P.M. van
Source Global Ecology and Biogeography (2018). - ISSN 1466-822X
Department(s) Forest Ecology and Forest Management
ESG Staff Departments Environmental Sciences
Vegetation, Forest and Landscape Ecology
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) cluster analysis - community composition - ecosystem function - plant functional groups - plant functional types - plant traits - tundra biome - vegetation change

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 ecosystem 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 insight into ecological prediction and modelling.

There are no comments yet. You can post the first one!
Post a comment
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.