McKennaShipley1999

Référence

McKenna, M.F., Shipley, B. (1999) Interacting determinants of interspecific relative growth: Empirical patterns and a theoretical explanation. Ecoscience, 6(2):286-296.

Résumé

This paper discusses the ways in which physiology, morphology and biomass partitioning interact to determine interspecific patterns of relative growth rate (RGR). We measure the correlations between RGR and six growth components based on above-ground and below-ground plant attributes, and use these results to propose a general model of how these interacting growth components combine to determine RGR based on the assumption of balanced growth. The data come from 28 wild herbaceous angiosperm species grown in hydroponic sand culture for 40 days under controlled standardised conditions in a growth chamber, with 16 hours daily of 550 ?mol/m-2s -1 PAR. Interspecific variation in RGR was largely a result of variation in unit leaf and unit root rates. Variation in specific leaf areas, leaf weight ratios, specific root areas and root weight ratios were of secondary importance in explaining the differences in RGR. These components of growth were not independent of each other. Leaf attributes were negatively correlated with each other, suggesting tradeoffs in the different ways that a plant can increase net carbon gain. Root attributes were also negatively correlated with each other, suggesting tradeoffs in the different ways nutrient acquisition is increased. Attributes increasing net carbon gain favoured allocation to roots, whereas attributes increasing net nutrient capture favoured allocation to leaves. We propose a path model relating these variables based on the assumption that the growth components interact to equilibrate the net uptake rates of carbon and a limiting nutrient. This path model was not rejected (?2 = 14.10, 10 df, p = 0.17) indicating a quantitative agreement with the hypothesis.

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@ARTICLE { McKennaShipley1999,
    AUTHOR = { McKenna, M.F. and Shipley, B. },
    TITLE = { Interacting determinants of interspecific relative growth: Empirical patterns and a theoretical explanation },
    JOURNAL = { Ecoscience },
    YEAR = { 1999 },
    VOLUME = { 6 },
    PAGES = { 286-296 },
    NUMBER = { 2 },
    NOTE = { 11956860 (ISSN) Cited By (since 1996): 16 Export Date: 26 April 2007 Source: Scopus Language of Original Document: English Correspondence Address: Shipley, B.; Departement de biologie; Universite de Sherbrooke Sherbrooke, Que. J1K 2R1, Canada; email: bshipley@courrier.usherb.ca References: Abrahamson, W.G., Patterns of resource allocation in wildflower populations of fields and woods (1979) American Botanist, 66, pp. 71-79; Bentler, P.M., (1995) EQS for Windows User's Guide, , Multivariate Software, Encino, California; Blackman, G.E., Wilson, G.L., Physiological and ecological studies in the analysis of plant environment. VI. the constancy for different species of a logarithmic relationship between net assimilation rate and light intensity and its ecological significance (1951) Annals of Botany, 15, pp. 64-94; Blackman, G.E., Wilson, G.L., Physiological and ecological studies in the analysis of plant environment VII. 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    ABSTRACT = { This paper discusses the ways in which physiology, morphology and biomass partitioning interact to determine interspecific patterns of relative growth rate (RGR). We measure the correlations between RGR and six growth components based on above-ground and below-ground plant attributes, and use these results to propose a general model of how these interacting growth components combine to determine RGR based on the assumption of balanced growth. The data come from 28 wild herbaceous angiosperm species grown in hydroponic sand culture for 40 days under controlled standardised conditions in a growth chamber, with 16 hours daily of 550 ?mol/m-2s -1 PAR. Interspecific variation in RGR was largely a result of variation in unit leaf and unit root rates. Variation in specific leaf areas, leaf weight ratios, specific root areas and root weight ratios were of secondary importance in explaining the differences in RGR. These components of growth were not independent of each other. Leaf attributes were negatively correlated with each other, suggesting tradeoffs in the different ways that a plant can increase net carbon gain. Root attributes were also negatively correlated with each other, suggesting tradeoffs in the different ways nutrient acquisition is increased. Attributes increasing net carbon gain favoured allocation to roots, whereas attributes increasing net nutrient capture favoured allocation to leaves. We propose a path model relating these variables based on the assumption that the growth components interact to equilibrate the net uptake rates of carbon and a limiting nutrient. This path model was not rejected (?2 = 14.10, 10 df, p = 0.17) indicating a quantitative agreement with the hypothesis. },
    KEYWORDS = { Growth analysis LWR NAR Path analysis RGR Roots SLA biomass allocation growth rate interspecific variation path analysis plant },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

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