Improved leaf area index based biomass estimations for Zostera marina L.

Math Med Biol

Centro de Investigación Científicas y, Educación Superior de Ensenada Baja, California, México.

Published: December 2003

AI Article Synopsis

  • The use of advanced scanning technologies allows for more accurate indirect estimations of Leaf Area Index (LAI) in plant population studies, leading to easier biomass assessment methods without harmful sampling.
  • This study shows that relying solely on a linear relationship between above-ground biomass and LAI can lead to biased results.
  • By using an allometric function that relates leaf dry weight to length and width, researchers found a more accurate estimation method, which has been validated using data from Zostera marina meadows.

Article Abstract

The application of special scanning technologies in plant population studies makes it now possible to offer reliable indirect estimations of Leaf Area Index (LAI). This has stimulated the adaptation of related biomass assessment methods and has provided a way to simplify tedious laboratory procedures whilst avoiding destructive sampling. Particularly, above-ground biomass for Zostera marina L. has been expressed depending linearly on Leaf Area Index. Nevertheless, we demonstrate that this approach produces biased estimations. It is also shown that expressing leaf dry weight by means of an allometric function of length and width can eliminate bias. Furthermore, the dominant term of the associated power series expansion becomes the aforementioned linear representation in terms of Leaf Area Index. The consistency of the estimation methods derived from the allometric model was tested using data from a Z. marina meadow. Consequently, the improved method is expected to become a valuable tool for the reduction of the uncertainty associated with the estimation of above-ground biomass through the use of Leaf Area Index.

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http://dx.doi.org/10.1093/imammb/20.4.367DOI Listing

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