Results 191 to 200 of about 1,157,735 (237)
Abstract Maximum longevity varies widely among marine‐occurring fishes, but the form of its relationship with body size and the contribution of broad environmental gradients remain uncertain. We analysed 757 species, using maximum length as the primary size metric and completed mass only in sensitivity analyses.
Longyu Li, Zenghui Xu
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Age, growth and sexual dimorphism of the monkeyface prickleback (Cebidichthys violaceus)
Abstract Accurate estimates of age, growth and maturation are fundamental to fisheries assessment, conservation and the development of emerging aquaculture species. However, life‐history parameters can vary within species and may be influenced by factors such as sexual dimorphism, which is often poorly quantified in non‐commercial or understudied ...
Kevin D. Hinterman +3 more
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Global length–weight relationships of deep‐pelagic fishes: Coverage, biases and variability
Abstract Length–weight relationships (LWRs) are morphometric tools that allow body mass to be estimated from fish length, providing input for fisheries, ecological and biodiversity studies. For deep‐pelagic fishes, however, LWR data remain fragmented and unavailable for most species.
Júlia R. Martins +8 more
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Abstract Intragastric gavage is widely used in studies of digestive physiology to deliver standardised meals, yet it remains unclear whether it elicits postprandial metabolic and acid–base responses comparable to voluntary feeding. Here, we tested whether the method of meal delivery affects the magnitude and timing of the postprandial rise in metabolic
Junlin Chen +2 more
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Database of 478 allometric equations to estimate biomass for Mexican trees and forests
International audienceKey messageWe present a comprehensive database of 478 allometric equations to estimate biomass of trees and other life forms in Mexican forest and scrubland ecosystems.ContextAccurate estimation of standing biomass in forests is a ...
Fabiola Rojas García +2 more
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Techniques for estimating allometric equations
Journal of Morphology, 1975AbstractMorphologists have long been aware that differential size relationships of variables can be of great value when studying shape. Allometric patterns have been the basis of many interpretations of adaptations, biomechanisms, and taxonomies. It is of importance that the parameters of the allometric equation be as accurate estimates as possible ...
B J, Manaster, S, Manaster
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Exponential growth and allometric equations
Journal of Theoretical Biology, 1982Abstract Earlier the simple exponential growth law has been used when attempts have been made to explain theoretically the existence of allometric equations in biology (Bertalanffy, 1968; Giinther, 1975). We show here that the exponential growth law in which the proportion coefficient also depends on time is a better approximation.
J, Perkkiö, R, Keskinen
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Interpretation of the Coefficient in the Allometric Equation
The American Naturalist, 1965Interpretation of the coefficient, b, in the allometric equation, y = b xk, is much disputed, and many presume it devoid of biological meaning. Difficulties impeding the interpretation of b are resolved: 1) biological significance cannot be dismissed on dimensional grounds; 2) the interval over which the measurements are valid must be stated as part of
John F. White, Stephen Jay Gould
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On allometric equations for predicting body mass of dinosaurs
Journal of Zoology, 2010Packard and colleagues investigate the prediction of the body mass of dinosaurs, using allometric models, advocating parameter estimation via direct optimization of a least-squares criterion on arithmetic axes rather than the conventional approach based on linear least-squares regression on logarithmic axes.
Cawley, G. C., Janacek, G. J.
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Estimation of plant biomass based on the allometric equation
Canadian Journal of Forest Research, 1981Estimation of the parameters in the allometric equation by fitting a simple linear regression to the logarithmically transformed variables results in biased estimates of the arithmetic mean. This bias expressed as a percent of the mean approaches the limit −(1 − e−σ2/2) (100) as n increases.
David O. Yandle, Harry V. Wiant Jr.
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