Results 261 to 270 of about 9,022 (276)

Allometric equations for estimating the foliage biomass of Scots pine

European Journal of Forest Research, 2007
The research described in this paper was performed in the Niepolomice Forest (Southern Poland) in 2001 as part of the Forest Environmental Monitoring and Management System (FOREMMS; 5FP IST) project. The material for the present study consisted of the measurement results of the biomass of Scots pine shoots with needles and needles alone carried out on ...
Jarosław Socha, Piotr Wężyk
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Correcting for Bias in Log‐Transformed Allometric Equations

Ecology, 1983
mals: their productivity and population dynamics, IBP. Volume 5. Cambridge University Press, London, England. Mahmud, F. S. 1980. Alary polymorphism in the small brown planthopper Laodelphax striatellus (Homoptera: Delphacidae). Entomologia Experimentalis et Applicata 28: 47-53. McCoy, E. D., and J. R. Rey. 1981. Alary polymorphism among the salt marsh
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Allometric equations for biomass assessment of subalpine dwarf shrubs

Alpine Botany, 2011
Shrubs are an important component of mountain ecosystems in terms of productivity and diversity. The estimate of shrub biomass via allometric equations represents a non-destructive alternative to obtain quantitative data. We propose allometric equations to estimate aboveground biomass from easily acquirable descriptive parameters of plant height and ...
Tasneem M. Elzein, Olivier Blarquez, Olivier Gauthier, Christopher Carcaillet   +3 more
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Common allometric equations for estimating the tree weight of mangroves

Journal of Tropical Ecology, 2005
Inventory data on tree weights of 104 individual trees representing 10 mangrove species were collected from mangrove forests in South-East Asia to establish common allometric equations for the trunk, leaf, above-ground and root weight. We used the measurable tree dimensions, such as dbh (trunk diameter at breast height), DR0.3 (trunk diameter at 30 cm ...
KOMIYAMA, Akira, POUNGPARN, Sasitorn, KATO, Shogo   +2 more
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Some theoretical consequences of the allometric growth equations

The Bulletin of Mathematical Biophysics, 1955
The rate of growth of an organism may be described as a function of both its mass and of the time. In particular, if the rate of growth is described as a function of mass alone, one derives the so-called principle of “equifinality”, according to which the final mass achieved is independent of any interruption of the growth process.
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Allometric equations for four valuable tropical tree species

Forest Ecology and Management, 2006
Four tree species were harvested periodically over a 13-year period from plantations in the humid lowlands of Costa Rica: Cedrela odorata, Cordia alliodora, Hyeronima alchorneoides, and Euterpe oleracea. The soil was a well-drained, volcanic alluvium, and high fertility coupled with 4 m of annual rainfall and high temperatures led to rapid growth rates;
Thomas G. Cole, John J. Ewel
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Calculation and Miscalculation of the Allometric Equation as a Model in Biological Data

BioScience, 1968
The simple linear regression model, (1) Y= 0o+ 31X, where Y is the dependent variable, X is the independent variable, and P0 and P1 are population parameters to be estimated empirically, often does not adequately describe or represent the relationship between the two variables. A commonly used procedure to arrive at a more descriptive model is to fit a
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[Statistical estimation of parameters in allometric equations].

Izvestiia Akademii nauk. Seriia biologicheskaia, 2000
An algorithm for estimating allometric coefficients widely used in biological studies is presented. The coefficients can be estimated only when the relationship between logarithms of the approximated data meets the linearity criterion. The proposed algorithm was applied for the brain-body weight relationship in mammals and oxygen consumption rate-body ...
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Urban tree database and allometric equations

2016
E. Gregory McPherson, Natalie S. van Doorn, Paula J.  Peper   +2 more
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Treatment of negative numbers in allometric equations

American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 1984
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