z-logo
open-access-imgOpen Access
Investigating tree and fruit growth through functional–structural modelling: implications of carbon autonomy at different scales
Author(s) -
I. Auzmendi,
Jim Hanan
Publication year - 2020
Publication title -
annals of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.567
H-Index - 176
eISSN - 1095-8290
pISSN - 0305-7364
DOI - 10.1093/aob/mcaa098
Subject(s) - canopy , tree (set theory) , autonomy , biology , scale (ratio) , carbon fibers , biological system , competition (biology) , ecology , computer science , mathematics , algorithm , combinatorics , geography , cartography , composite number , political science , law
Background and Aims Many experimental studies assume that some topological units are autonomous with regard to carbon because it is convenient. Some plant models simulate carbon allocation, employing complex approaches that require calibration and fitted parameters. For whole-tree canopy simulations, simpler carbon allocation models can provide useful insights. Methods We propose a new method for simulating carbon allocation in the whole tree canopy considering various scales of carbon autonomy, i.e. branchlets, branches, limbs, and no autonomy. This method was implemented in a functional–structural plant model of growth of individual organs for studying macadamia tree growth during one growing season. Key Results This model allows the simulation of various scales of carbon autonomy in a simple tree canopy, showing organ within-tree variability according to the scale of autonomy. Using a real tree canopy, we observed differences in growth variability within the tree and in tree growth, with several scales of carbon autonomy. The simulations that assumed autonomy at branch scale, i.e. 2-year-old wood, showed the most realistic results. Conclusions Simulations using this model were employed to investigate and explain aspects of differences in carbon autonomy between trees, organ growth variability, competition between shoot and fruit growth, and time of autonomy.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom