Allometric and Metabolic Theories in Ecology

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 Allometric and metabolic theories in ecology Nicolas Loeuille, maître de conférences UPMC [email protected] 

Transcript of Allometric and Metabolic Theories in Ecology

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 Allometric and metabolictheories in ecology

Nicolas Loeuille,

maître de conférences [email protected] 

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Rubner (1883): b = 2/3 for metabolism vs. body mass

Ginzburg & Damuth (2008)

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Kleiber (1932): b = 3/4

from Hemmingsen (1960)

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Beautiful data, beautiful mysteries

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Brown: 3/4 as the only option

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Glazier (2005): Variability of the exponent

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Kleiber (1932): b = 3/4

from Hemmingsen (1960)

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Rubner (1883): b = 2/3 for metabolism vs. body mass

Ginzburg & Damuth (2008)

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Examples of multipleconstrained dimensions:

3-2 dimension reduction inhumans

A. Metabolic rate scales as the 2/3 power of mass within species because generation

time is constrained.

B. When data are statistically constrained by height, the scaling coefficient becomes1/2.

Figure from Ginzburg and Damuth (2008).

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4-3-2 dimension reduction in

plants

A.Across all plants and algae, allometry is4-dimensional with growth rate scaling asthe 3/4 power of mass.

B. Within plants alone, the growth rate

relationship is 2/3, reflecting a geometricconstraint on body plan.

C. In annual plants, generation time is fixed,further reducing the dimensionality to 2 andthus the slope to 1/2, even though theanalysis is still interspecific.

Data from Niklas (2007)

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4-3-2 dimension reduction

in mammalsA. Metabolic rate scales as the 3/4 power of mass across species.

B. When data are statistically constrainedfor generation time, the scaling coefficientdecreases.

C.When constrained further by bodylength, the slope decreases to 1/2.

Data are for 149 species over 100 g. Figurefrom Ginzburg and Damuth (2008).

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2-1 dimension reduction in

DrosophilaA. Across species, mass-metabolismexponent is 1/2. (Dataset of Promislowand Haselkorn 2002.)

B. Within a single species, nocorrelation between body size andmetabolism. (Van Voorhies, et al.2004).

Slope of 1/2 also found for shrews(Glazier 2005).

B

b = 0.49

 A

b = 0

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Branching networks (West et al. 1997;

Bananvar et al. 1999, 2002)Emphasizes 3/4 slope to the exclusion of all others.

Currently does not explain slopes of 2/3, 1/2, or 0.Does not explain slopes above 3/4.

Boundary hypotheses (Kooijman 2000; Glazier 2005)Slope results from the weighted sum of surface and volume processes

(2/3 and 1).Supports the diversity of slopes greater than 3/4.Does not explain slopes below 2/3.

Space-lifetime hypothesis (Ginzburg and Damuth 2008)Lifetime metabolism is isometric with body size (slope = 1).

In mammals, dimensional equivalency yields the special case of 3/4allometry.Other taxa deviate from 3/4, but lifetime metabolic isometry remains.Lower slopes are explained by geometric and temporal constraints.Theory supports the full range of slopes observed in nature.

Theoretical Landscape

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Temperature correction (Brown et al. 2004)

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Rate of biomass production, Brown et al 2004

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Developmental rates of eggs, zoop & fishes

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Fish mortality rates, Brown et al. 2004

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Population growth rates

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Links between densities and body size

Most datasets show that D=kM^-3/4 Individual metabolism scales as M^3/4 Therefore, total energy consumption is independent of 

body size= energetic equivalence rule (Damuth 1981) Hidden hypothesis: same energy exploited,independent on body size

True within trophic levels, but not accross? Mixed validations

Dependence on scales

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Implications for population density

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Turnover rate

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Dimensionless numbers and invariants

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Table of invariants

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La remise en cause (Nee 2005)