VileShipleyGarnier2006a

Référence

Vile, D., Shipley, B. and Garnier, E. (2006) Ecosystem productivity can be predicted from potential relative growth rate and species abundance. Ecology Letters, 9(9):1061-1067.

Résumé

We show that ecosystem-specific aboveground net primary productivity (SANPP, g g-1 day-1, productivity on a per gram basis) can be predicted from species-level measures of potential relative growth rate (RGRmax), but only if RGRmax is weighted according to the species' relative abundance. This is in agreement with Grime's mass-ratio hypothesis. Productivity was measured in 12 sites in a French Mediterranean post-agricultural succession, while RGRmax was measured on 26 of the most abundant species from this successional sere, grown hydroponically. RGRmax was only weakly correlated (r2 = 0.12, P < 0.05) with field age when species abundance was not considered, but the two variables were strongly correlated (r2 = 0.81, P < 0.001) when the relative abundance of species in each field was taken into account. SANPP also decreased significantly with field age. This resulted in a tight relationship (r2 = 0.77, P < 0.001) between productivity and RGRmax weighted according to species relative biomass contribution. Our study shows that scaling-up from the potential properties of individual species is possible, and that information on potential and realized species traits can be integrated to predict ecosystem functioning. © 2006 Blackwell Publishing Ltd/CNRS.

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@ARTICLE { VileShipleyGarnier2006a,
    AUTHOR = { Vile, D. and Shipley, B. and Garnier, E. },
    TITLE = { Ecosystem productivity can be predicted from potential relative growth rate and species abundance },
    JOURNAL = { Ecology Letters },
    YEAR = { 2006 },
    VOLUME = { 9 },
    PAGES = { 1061-1067 },
    NUMBER = { 9 },
    NOTE = { 1461023X (ISSN) Cited By (since 1996): 2 Export Date: 26 April 2007 Source: Scopus CODEN: ECLEF doi: 10.1111/j.1461-0248.2006.00958.x Language of Original Document: English Correspondence Address: Vile, D.; Centre d'Ecologie Fonctionnelle et Evolutive; UMR 5175 (CNRS); 1919, Route de Mende 34293 Montpellier Cedex 5, France; email: denis.vile@clermont.inra.fr References: Van Andel, J., Biere, A., Ecological significance of variability in growth rate and plant productivity (1989) Causes and Consequences of Variation in Growth Rate and Productivity of Higher Plants, pp. 257-267. , (eds Lambers, H., Cambridge, M.L., Konings, H. \& Pons, T.L.). 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    ABSTRACT = { We show that ecosystem-specific aboveground net primary productivity (SANPP, g g-1 day-1, productivity on a per gram basis) can be predicted from species-level measures of potential relative growth rate (RGRmax), but only if RGRmax is weighted according to the species' relative abundance. This is in agreement with Grime's mass-ratio hypothesis. Productivity was measured in 12 sites in a French Mediterranean post-agricultural succession, while RGRmax was measured on 26 of the most abundant species from this successional sere, grown hydroponically. RGRmax was only weakly correlated (r2 = 0.12, P < 0.05) with field age when species abundance was not considered, but the two variables were strongly correlated (r2 = 0.81, P < 0.001) when the relative abundance of species in each field was taken into account. SANPP also decreased significantly with field age. This resulted in a tight relationship (r2 = 0.77, P < 0.001) between productivity and RGRmax weighted according to species relative biomass contribution. Our study shows that scaling-up from the potential properties of individual species is possible, and that information on potential and realized species traits can be integrated to predict ecosystem functioning. © 2006 Blackwell Publishing Ltd/CNRS. },
    KEYWORDS = { Community-aggregated traits Functional effect traits Functional response traits Grime's mass-ratio hypothesis Non-destructive growth analysis Relative growth rate Scaling-up Secondary succession Species abundance Specific net primary productivity },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

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