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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    Simulation of optimal rooting strategies: what's the best way to find a wet crack?
    Renton, M. ; Poot, P. ; Evers, J.B. - \ 2012
    In: Plant Growth Modelling, Simulation, Visualization and Applications - PMA12, Shanghai, China, 31 October - 3 November 2012. - Beijing, China : IEEE - p. 316 - 323.
    Biomass allocation to leaves, stems and roots: meta analyses of interspecific variation and environmental control
    Poorter, H. ; Niklas, K.J. ; Reich, P.B. ; Oleksyn, J. ; Poot, P. ; Mommer, L. - \ 2012
    New Phytologist 193 (2012)1. - ISSN 0028-646X - p. 30 - 50.
    relative growth-rate - shade-avoidance responses - rain-forest evergreens - slow-growing grass - elevated co2 - plant-growth - leaf mass - photosynthetic acclimation - morphological responses - phenotypic plasticity
    We quantified the biomass allocation patterns to leaves, stems and roots in vegetative plants, and how this is influenced by the growth environment, plant size, evolutionary history and competition. Dose–response curves of allocation were constructed by means of a meta-analysis from a wide array of experimental data. They show that the fraction of whole-plant mass represented by leaves (LMF) increases most strongly with nutrients and decreases most strongly with light. Correction for size-induced allocation patterns diminishes the LMF-response to light, but makes the effect of temperature on LMF more apparent. There is a clear phylogenetic effect on allocation, as eudicots invest relatively more than monocots in leaves, as do gymnosperms compared with woody angiosperms. Plants grown at high densities show a clear increase in the stem fraction. However, in most comparisons across species groups or environmental factors, the variation in LMF is smaller than the variation in one of the other components of the growth analysis equation: the leaf area : leaf mass ratio (SLA). In competitive situations, the stem mass fraction increases to a smaller extent than the specific stem length (stem length : stem mass). Thus, we conclude that plants generally are less able to adjust allocation than to alter organ morphology
    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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