Inclusion of the Fractal Dimension of Leafless Plant Structure in the Beer-Lambert Law Export

@article{Forou01, abstract = {The Beer-Lambert law is commonly used to describe the relationship between the proportion of light penetrating a plant canopy and the leaf area index (LAI). Although the geometric distribution of leaf area has a potential effect on the ability of a plant to intercept light, the equation contains no term to account for it. In this study, the geometric distribution of leaf area was quantified by the fractal dimension of leafless plant structure (FD). The objective was to evaluate the contribution of plant structure complexity to the Beer-Lambert law, by including FD in the equation. The crop was soybean [Glycine max. (L.) Merr.]. Data were collected according to a block design with four blocks and five weekly repeated measures. The analyzed variables were LAI and light penetration (\% per plant), and FD, estimated using leafless plants photographed from the side that allowed the maximum appearance of branches and petioles. Statistical analyses were performed week by week, on weekly means and on block means. When LAI and FD were significantly correlated (i.e., at the end of canopy development and on weekly means), inclusion of either variable as regressor in the equation provided similar goodness-of-fit. In other instances, inclusion of FD as a multiplicative factor of LAI increased the r2 value up to 0.31. In all instances, the correlation between light penetration and FD was stronger than between light penetration and LAI. In summary, the application of the Beer-Lambert law for light penetration into the canopy is improved by inclusion of FD.}, author = {Foroutan-Pour, Kayhan and Dutilleul, Pierre and Smith, Donald L.}, citeulike-article-id = {3558328}, citeulike-linkout-0 = {http://agron.scijournals.org/cgi/content/abstract/93/2/333}, day = {1}, journal = {Agron J}, keywords = {beer-lambert, fractal-dimension, lai}, month = {March}, number = {2}, pages = {333--338}, posted-at = {2008-11-17 13:06:33}, priority = {0}, title = {Inclusion of the Fractal Dimension of Leafless Plant Structure in the Beer-Lambert Law}, url = {http://agron.scijournals.org/cgi/content/abstract/93/2/333}, volume = {93}, year = {2001} }

TY - JOUR ID - Forou01 L3 - citeulike-article-id:3558328 N2 - The Beer-Lambert law is commonly used to describe the relationship between the proportion of light penetrating a plant canopy and the leaf area index (LAI). Although the geometric distribution of leaf area has a potential effect on the ability of a plant to intercept light, the equation contains no term to account for it. In this study, the geometric distribution of leaf area was quantified by the fractal dimension of leafless plant structure (FD). The objective was to evaluate the contribution of plant structure complexity to the Beer-Lambert law, by including FD in the equation. The crop was soybean [Glycine max. (L.) Merr.]. Data were collected according to a block design with four blocks and five weekly repeated measures. The analyzed variables were LAI and light penetration (% per plant), and FD, estimated using leafless plants photographed from the side that allowed the maximum appearance of branches and petioles. Statistical analyses were performed week by week, on weekly means and on block means. When LAI and FD were significantly correlated (i.e., at the end of canopy development and on weekly means), inclusion of either variable as regressor in the equation provided similar goodness-of-fit. In other instances, inclusion of FD as a multiplicative factor of LAI increased the r2 value up to 0.31. In all instances, the correlation between light penetration and FD was stronger than between light penetration and LAI. In summary, the application of the Beer-Lambert law for light penetration into the canopy is improved by inclusion of FD. IS - 2 JF - Agron J EP - 338 TI - Inclusion of the Fractal Dimension of Leafless Plant Structure in the Beer-Lambert Law VL - 93 SP - 333 KW - beer-lambert KW - fractal-dimension KW - lai AU - Foroutan-Pour, Kayhan AU - Dutilleul, Pierre AU - Smith, Donald PY - 2001/03/01/ UR - http://agron.scijournals.org/cgi/content/abstract/93/2/333 ER -