Staff Publications

Staff Publications

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    '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 

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Light interception efficiency explained by two simple variables: a test using a diversity of small- to medium-sized woody plants
Duursma, R.A. ; Falster, D.S. ; Valladares, F. ; Sterck, F.J. ; Pearcy, R.W. ; Lusk, C. ; Sendall, K.M. ; Nordenstahl, M. ; Houter, N.C. ; Atwell, B.J. ; Kelly, N. ; Kelly, J.W.G. ; Liberloo, M. ; Tissue, D.T. ; Medlyn, B.E. ; Ellsworth, D.S. - \ 2012
New Phytologist 193 (2012)2. - ISSN 0028-646X - p. 397 - 408.
carbon gain - crown architecture - capture efficiency - heteromeles-arbutifolia - radiation interception - understory plants - canopy structure - rain-forest - model - trees
Plant light interception efficiency is a crucial determinant of carbon uptake by individual plants and by vegetation. Our aim was to identify whole-plant variables that summarize complex crown architecture, which can be used to predict light interception efficiency. •We gathered the largest database of digitized plants to date (1831 plants of 124 species), and estimated a measure of light interception efficiency with a detailed three-dimensional model. Light interception efficiency was defined as the ratio of the hemispherically averaged displayed to total leaf area. A simple model was developed that uses only two variables, crown density (the ratio of leaf area to total crown surface area) and leaf dispersion (a measure of the degree of aggregation of leaves). •The model explained 85% of variation in the observed light interception efficiency across the digitized plants. Both whole-plant variables varied across species, with differences in leaf dispersion related to leaf size. Within species, light interception efficiency decreased with total leaf number. This was a result of changes in leaf dispersion, while crown density remained constant. •These results provide the basis for a more general understanding of the role of plant architecture in determining the efficiency of light harvesting.
TRY - a global database of plant traits
Kattge, J. ; Diaz, S. ; Lavorel, S. ; Prentices, I.C. ; Leadley, P. ; Bönisch, G. ; Garnier, E. ; Westobys, M. ; Reich, P.B. ; Wrights, I.J. ; Cornelissen, C. ; Violle, C. ; Harisson, S.P. ; Bodegom, P.M. van; Reichstein, M. ; Enquist, B.J. ; Soudzilovskaia, N.A. ; Ackerly, D.D. ; Anand, M. ; Atkin, O. ; Bahn, M. ; Baker, T.R. ; Baldochi, D. ; Bekker, R. ; Blanco, C.C. ; Blonders, B. ; Bond, W.J. ; Bradstock, R. ; Bunker, D.E. ; Casanoves, F. ; Cavender-Bares, J. ; Chambers, J.Q. ; Chapin III, F.S. ; Chave, J. ; Coomes, D. ; Cornwell, W.K. ; Craine, J.M. ; Dobrin, B.H. ; Duarte, L. ; Durka, W. ; Elser, J. ; Esser, G. ; Estiarte, M. ; Fagan, W.F. ; Fang, J. ; Fernadez-Mendez, F. ; Fidelis, A. ; Finegan, B. ; Flores, O. ; Ford, H. ; Frank, D. ; Freschet, T. ; Fyllas, N.M. ; Gallagher, R.V. ; Green, W.A. ; Gutierrez, A.G. ; Hickler, T. ; Higgins, S.I. ; Hodgson, J.G. ; Jalili, A. ; Jansen, S. ; Joly, C.A. ; Kerkhoff, A.J. ; Kirkup, D. ; Kitajima, K. ; Kleyer, M. ; Klotz, S. ; Knops, J.M.H. ; Kramer, K. ; Kühn, I. ; Kurokawa, H. ; Laughlin, D. ; Lee, T.D. ; Leishman, M. ; Lens, F. ; Lewis, S.L. ; Lloyd, J. ; Llusia, J. ; Louault, F. ; Ma, S. ; Mahecha, M.D. ; Manning, P. ; Massad, T. ; Medlyn, B.E. ; Messier, J. ; Moles, A.T. ; Müller, S.C. ; Nadrowski, K. ; Naeem, S. ; Niinemets, Ü. ; Nöllert, S. ; Nüske, A. ; Ogaya, R. ; Oleksyn, J. ; Onipchenko, V.G. ; Onoda, Y. ; Ordonez Barragan, J.C. ; Ozinga, W.A. ; Poorter, L. - \ 2011
Global Change Biology 17 (2011)9. - ISSN 1354-1013 - p. 2905 - 2935.
relative growth-rate - tropical rain-forest - hawaiian metrosideros-polymorpha - litter decomposition rates - leaf economics spectrum - old-field succession - sub-arctic flora - functional traits - wide-range - terrestrial biosphere
Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.
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