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Biomass-dispersal trade-off and the functional meaning of species diversity

•Twenty-nine ecological assemblages with 1649 plots from twelve kinds of taxocenes.•Direct correlation biomass↔diversity and inverse correlation dispersal↔diversity.•Biomass-dispersal trade-off (B-DT) under stationarity.•Coherence between B-DT, conventional ecology and the ecological state equation....

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Published in:Ecological modelling 2013-07, Vol.261-262, p.8-18
Main Authors: Rodríguez, Ricardo A., Herrera, Ada Mª, Delgado, Juan D., Otto, Rüdiger, Quirós, Ángel, Santander, Jacobo, Miranda, Jezahel V., Fernández, María J., Jiménez-Rodríguez, Antonia, Riera, Rodrigo, Navarro, Rafael Mª, Perdomo, Mª Elena, Fernández-Palacios, José Mª, Escudero, Carlos G., Arévalo, José R., Diéguez, Lorenzo
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container_title Ecological modelling
container_volume 261-262
creator Rodríguez, Ricardo A.
Herrera, Ada Mª
Delgado, Juan D.
Otto, Rüdiger
Quirós, Ángel
Santander, Jacobo
Miranda, Jezahel V.
Fernández, María J.
Jiménez-Rodríguez, Antonia
Riera, Rodrigo
Navarro, Rafael Mª
Perdomo, Mª Elena
Fernández-Palacios, José Mª
Escudero, Carlos G.
Arévalo, José R.
Diéguez, Lorenzo
description •Twenty-nine ecological assemblages with 1649 plots from twelve kinds of taxocenes.•Direct correlation biomass↔diversity and inverse correlation dispersal↔diversity.•Biomass-dispersal trade-off (B-DT) under stationarity.•Coherence between B-DT, conventional ecology and the ecological state equation.•B-DT explains the core of the functional meaning of species diversity. Production–diversity patterns lack a single explanation fully integrated in theoretical ecology. An ecological state equation has recently been found for ruderal vegetation. We studied 1649 plots from twenty-nine ecological assemblages and analyzed the relationship between diversity, biomass and dispersal looking for a pattern across these ecosystems. We found that high biomass and low dispersal values were significantly associated with high diversity plots under stationary conditions, and vice versa, involving a biomass-dispersal trade-off that is coherent with well-established ecological principles. Therefore, energy per plot, estimated as one half of the product of mean individual biomass and mean square dispersal multiplied by the number of individuals per plot, only reaches its maximum at intermediate levels of diversity. This explains the well-known humped relationship between production and diversity. We also explore why the rest of the diversity–production patterns can be explained starting from disruptions of this basic pattern. Simultaneously, the product of diversity, biomass and square dispersal is statistically equal to the ecological equivalent of the Boltzmann's constant included in the ecological state equation that remains valid for all the assemblages explored due to scale variations in the value of the above-mentioned constant. Biomass-dispersal trade-off resembles the principle of equipartition of energy from the kinetic theory of gases but in a characteristic way, because the alternative micro-associations of dispersal-biomass in function of species diversity are not randomly distributed as it happens with the combinations of molecular mass and velocity in a mixture of gases. Therefore, this distinctive ecological feature should be assumed as one of the main pro-functional gradients or thermodynamic constraints to avoid chaos and ecological degradation under stationary conditions. Hence, biomass-dispersal trade-off explains production–diversity patterns and the ecological state equation in simultaneous agreement with conventional ecology and physics.
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We also explore why the rest of the diversity–production patterns can be explained starting from disruptions of this basic pattern. Simultaneously, the product of diversity, biomass and square dispersal is statistically equal to the ecological equivalent of the Boltzmann's constant included in the ecological state equation that remains valid for all the assemblages explored due to scale variations in the value of the above-mentioned constant. Biomass-dispersal trade-off resembles the principle of equipartition of energy from the kinetic theory of gases but in a characteristic way, because the alternative micro-associations of dispersal-biomass in function of species diversity are not randomly distributed as it happens with the combinations of molecular mass and velocity in a mixture of gases. 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We also explore why the rest of the diversity–production patterns can be explained starting from disruptions of this basic pattern. Simultaneously, the product of diversity, biomass and square dispersal is statistically equal to the ecological equivalent of the Boltzmann's constant included in the ecological state equation that remains valid for all the assemblages explored due to scale variations in the value of the above-mentioned constant. Biomass-dispersal trade-off resembles the principle of equipartition of energy from the kinetic theory of gases but in a characteristic way, because the alternative micro-associations of dispersal-biomass in function of species diversity are not randomly distributed as it happens with the combinations of molecular mass and velocity in a mixture of gases. Therefore, this distinctive ecological feature should be assumed as one of the main pro-functional gradients or thermodynamic constraints to avoid chaos and ecological degradation under stationary conditions. Hence, biomass-dispersal trade-off explains production–diversity patterns and the ecological state equation in simultaneous agreement with conventional ecology and physics.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ecolmodel.2013.03.023</doi><tpages>11</tpages></addata></record>
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ispartof Ecological modelling, 2013-07, Vol.261-262, p.8-18
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subjects Alternative energy sources
Animal, plant and microbial ecology
Biological and medical sciences
Biological diversity
Biomass
Biomass-dispersal trade-off
Bolts
Constants
Ecological Boltzmann's constant
Ecological state equation
Ecology
ecosystems
energy
environmental degradation
equations
Equations of state
Fundamental and applied biological sciences. Psychology
gases
General aspects. Techniques
Methods and techniques (sampling, tagging, trapping, modelling...)
molecular weight
Production–diversity patterns
r–K selection theory
Species diversity
Tradeoffs
vegetation
title Biomass-dispersal trade-off and the functional meaning of species diversity
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