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Examination of the Effects of Curvature in Geometrical Space on Accuracy of Scaling Derived Projections of Plant Biomass Units: Applications to the Assessment of Average Leaf Biomass in Eelgrass Shoots
Joint Authors
Leal-Ramirez, Cecilia
Echavarria-Heras, Hector
Villa-Diharce, Enrique
Montesinos-López, Abelardo
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-23
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
Conservation of eelgrass relies on transplants and evaluation of success depends on nondestructive measurements of average leaf biomass in shoots among other variables.
Allometric proxies offer a convenient way to assessments.
Identifying surrogates via log transformation and linear regression can set biased results.
Views conceive this approach to be meaningful, asserting that curvature in geometrical space explains bias.
Inappropriateness of correction factor of retransformation bias could also explain inconsistencies.
Accounting for nonlinearity of the log transformed response relied on a generalized allometric model.
Scaling parameters depend continuously on the descriptor.
Joining correction factor is conceived as the partial sum of series expansion of mean retransformed residuals leading to highest reproducibility strength.
Fits of particular characterizations of the generalized curvature model conveyed outstanding reproducibility of average eelgrass leaf biomass in shoots.
Although nonlinear heteroscedastic regression resulted also to be suitable, only log transformation approaches can unmask a size related differentiation in growth form of the leaf.
Generally, whenever structure of regression error is undetermined, choosing a suitable form of retransformation correction factor becomes elusive.
Compared to customary nonparametric characterizations of this correction factor, present form proved more efficient.
We expect that offered generalized allometric model along with proposed correction factor form provides a suitable analytical arrangement for the general settings of allometric examination.
American Psychological Association (APA)
Echavarria-Heras, Hector& Leal-Ramirez, Cecilia& Villa-Diharce, Enrique& Montesinos-López, Abelardo. 2019. Examination of the Effects of Curvature in Geometrical Space on Accuracy of Scaling Derived Projections of Plant Biomass Units: Applications to the Assessment of Average Leaf Biomass in Eelgrass Shoots. BioMed Research International،Vol. 2019, no. 2019, pp.1-23.
https://search.emarefa.net/detail/BIM-1124703
Modern Language Association (MLA)
Echavarria-Heras, Hector…[et al.]. Examination of the Effects of Curvature in Geometrical Space on Accuracy of Scaling Derived Projections of Plant Biomass Units: Applications to the Assessment of Average Leaf Biomass in Eelgrass Shoots. BioMed Research International No. 2019 (2019), pp.1-23.
https://search.emarefa.net/detail/BIM-1124703
American Medical Association (AMA)
Echavarria-Heras, Hector& Leal-Ramirez, Cecilia& Villa-Diharce, Enrique& Montesinos-López, Abelardo. Examination of the Effects of Curvature in Geometrical Space on Accuracy of Scaling Derived Projections of Plant Biomass Units: Applications to the Assessment of Average Leaf Biomass in Eelgrass Shoots. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-23.
https://search.emarefa.net/detail/BIM-1124703
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124703