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.

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Predicting habitat affinities of plant species using commonly measured functional traits
Shipley, B. ; Belluau, M. ; Kuhn, I. ; Soudzilovskaia, N.A. ; Bahn, M. ; Penuelas, J. ; Kattge, J. ; Sack, L. ; Cavender-Bares, J. ; Ozinga, W.A. ; Blonders, B. ; Bodegom, P.M. van; Manning, P. ; Hickler, T. ; Sosinski, E. ; Pillar, V.D. ; Onipchenko, V.G. ; Poschlod, P. - \ 2017
Journal of Vegetation Science 28 (2017)5. - ISSN 1100-9233 - p. 1082 - 1095.
Questions Heinz Ellenberg classically defined “indicator” scores for species representing their typical positions along gradients of key environmental variables, and these have proven very useful for designating ecological distributions. We tested a key tenent of trait-based ecology, i.e. the ability to predict ecological preferences from species’ traits. More specifically, can we predict Ellenberg indicator scores for soil nutrients, soil moisture and irradiance from four well-studied traits: leaf area, leaf dry matter content, specific leaf area (SLA) and seed mass? Can we use such relationships to estimate Ellenberg scores for species never classified by Ellenberg? Location Global. Methods Cumulative link models were developed to predict Ellenberg nutrients, irradiance and moisture values from Ln-transformed trait values using 922, 981 and 988 species, respectively. We then independently tested these prediction equations using the trait values of 423 and 421 new species that occurred elsewere in Europe, North America and Morocco, and whose habitat affinities we could classify from independent sources as three-level ordinal ranks related to soil moisture and irradiance. The traits were SLA, leaf dry matter content, leaf area and seed mass. Results The four functional traits predicted the Ellenberg indicator scores of site fertility, light and moisture with average error rates of <2 Ellenberg ranks out of nine. We then used the trait values of 423 and 421 species, respectively, that occurred (mostly) outside of Germany but whose habitat affinities we could classify as three-level ordinal ranks related to soil moisture and irradiance. The predicted positions of the new species, given the equations derived from the Ellenberg indices, agreed well with their independent habitat classifications, although our equation for Ellenberg irrandiance levels performed poorly on the lower ranks. Conclusions These prediction equations, and their eventual extensions, could be used to provide approximate descriptions of habitat affinities of large numbers of species worldwide.
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.
The worldwide leaf economics spectrum
Wright, I.J. ; Reich, P.B. ; Westoby, M. ; Ackerly, D.D. ; Baruch, Z. ; Bongers, F.J.J.M. ; Cavender-Bares, J. ; Chapin, T. ; Cornelissen, J.H.C. ; Diemer, M. ; Flexas, J. ; Garnier, E. ; Groom, P.K. ; Gulias, J. ; Hikosaka, K. ; Lamont, B.B. ; Lee, T. ; Lee, W. ; Lusk, C. ; Midgley, J.J. ; Navas, M.L. ; Niinements, Ü. ; Oleksyn, J. ; Osada, N. ; Poorter, H. ; Poot, P. ; Prior, L. ; Pyankov, V.I. ; Roumet, C. ; Thomas, S.C. ; Tjoelker, M.G. ; Veneklaas, E.J. ; Villar, R. - \ 2004
Nature 428 (2004)6985. - ISSN 0028-0836 - p. 821 - 827.
photosynthesis-nitrogen relations - life-span - functional-groups - use efficiency - high-rainfall - dry mass - area - tree - nutrient - leaves
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
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