Literature DB >> 19887073

An allometric method for the projection of eelgrass leaf biomass production rates.

Hector Echavarría-Heras1, Elena Solana-Arellano, Ernesto Franco-Vizcaíno.   

Abstract

We demonstrate that an allometric model for eelgrass leaf-growth rates can be derived from data on leaf architecture and growth form. Using this construct, we produced indirect assessments of growth rates of leaves that we call projections, which can be easily obtained in terms of allometric parameters and proxy values for leaf area, expressed as the product of leaf length and width. These projections of leaf-growth rates displayed a high level of correspondence with values observed in our data, as well as with other sets of reference data. A comparison with growth rates obtained by using the plastochrone index method showed that our model provides more accurate estimations while using a simpler methodology. Our results also show that whenever allometric parameters for the scaling of eelgrass leaf dry weight in terms of leaf area are available, the proposed model provides an accurate, cost-effective and non-destructive alternative to assessments based on traditional or plastochrone methods. Copyright 2009 Elsevier Inc. All rights reserved.

Mesh:

Year:  2009        PMID: 19887073     DOI: 10.1016/j.mbs.2009.10.008

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

1.  The effect of parameter variability in the allometric projection of leaf growth rates for eelgrass (Zostera marina L.) II: the importance of data quality control procedures in bias reduction.

Authors:  Héctor Echavarría-Heras; Cecilia Leal-Ramírez; Enrique Villa-Diharce; Nohe R Cazarez-Castro
Journal:  Theor Biol Med Model       Date:  2015-12-01       Impact factor: 2.432

2.  Eelgrass Leaf Surface Microbiomes Are Locally Variable and Highly Correlated with Epibiotic Eukaryotes.

Authors:  Mia M Bengtsson; Anton Bühler; Anne Brauer; Sven Dahlke; Hendrik Schubert; Irmgard Blindow
Journal:  Front Microbiol       Date:  2017-07-13       Impact factor: 5.640

3.  A Revision of the Traditional Analysis Method of Allometry to Allow Extension of the Normality-Borne Complexity of Error Structure: Examining the Adequacy of a Normal-Mixture Distribution-Driven Error Term.

Authors:  Enrique Villa-Diharce; Hector Alonso Echavarria-Heras; Abelardo Montesinos-López; Cecilia Leal-Ramírez
Journal:  Biomed Res Int       Date:  2022-09-19       Impact factor: 3.246

4.  Using allometric procedures to substantiate the plastochrone method for eelgrass leaf growth assessments.

Authors:  Héctor Echavarría-Heras; Elena Solana-Arellano; Cecilia Leal-Ramírez; Oscar Castillo
Journal:  Theor Biol Med Model       Date:  2013-05-16       Impact factor: 2.432

5.  A method for calculating the area of Zostera marina leaves from digital images with noise induced by humidity content.

Authors:  Cecilia Leal-Ramirez; Hector Echavarria-Heras
Journal:  ScientificWorldJournal       Date:  2014-05-04

6.  Using the value of Lin's concordance correlation coefficient as a criterion for efficient estimation of areas of leaves of eelgrass from noisy digital images.

Authors:  Héctor Echavarría-Heras; Cecilia Leal-Ramírez; Enrique Villa-Diharce; Oscar Castillo
Journal:  Source Code Biol Med       Date:  2014-12-20
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.