Title of article :
Allometric scaling laws for water uptake by plant roots
Author/Authors :
Biondini، نويسنده , , Mario، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
This paper develops scaling laws for plant roots of any arbitrary volume and branching configuration that maximize water uptake. Water uptake can occur along any part of the root network, and thus there is no branch-to-branch fluid conservation. Maximizing water uptake, therefore, involves balancing two flows that are inversely related: axial and radial conductivity. The scaling laws are tested against the root data of 1759 plants from 77 herbaceous species, and compared with those from the WBE model. I further discuss whether the scaling laws are invariant to soil water distribution. A summary of some of the results follows. (1) The optimal radius for a single root (no branches) scales with volume as r ≈ volume 2 8 + a ( 0 < a ⩽ 1 ) . (2) The basic allometric scaling for root radius branches ( r i + 1 = β * r i ) is of the form β = f ( N ) 2 * ε ( N ) 8 + a , where f ( N ) = A ( N ) / ( n b * ( 1 + A ( N ) ) ) , n b is the number of branches, and A ( N ) and ε ( N ) are functions of the number of root diameter classes (not constants as in the WBE model). (3) For large N, β converges to the β from the WBE model. For small N, the β ʹs for the two models diverge, but are highly correlated. (4) The fractal assumption of volume filling of the WBE model are also met in the root model even though they are not explicitly incorporated into it. (5) The WBE model for rigid tubes is an asymptotic solution for large root systems (large N and biomass). (6) The optimal scaling solutions for the root network appears to be independent of soil water distribution or water demand. The data set used for testing is included in the electronic supplementary archive of the journal.
Keywords :
water uptake , Constructal theory , Root scaling , Root allometry , Scaling laws
Journal title :
Journal of Theoretical Biology
Journal title :
Journal of Theoretical Biology