% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Lanzrath:906007,
author = {Lanzrath, Hannah and von Lieres, Eric and Huber, Gregor},
title = {{M}odelling of 11{C} {T}racer {T}ransport in {P}lants},
reportid = {FZJ-2022-01176},
year = {2021},
note = {Bühler J, von Lieres E, Huber G (2014). A class of
compartmental models for long-distance tracer transport in
plants, Journal of Theoretical Biology 341, 131-142; Bühler
J, Huber G, von Lieres E (2017). Finite volume schemes for
the numerical simulation of tracer transport in plants,
Mathematical Biosciences 288, 14-20; Bühler J, von Lieres
E, Huber G (2018). Model based design of long-distance
tracer transport experiments in plants, Frontiers in Plant
Science 9:773},
abstract = {Understanding long-distance transport in plants enables the
investigation of functional traits under the influence of
diverse environmental factors. Especially carbon
partitioning in the phloem is of great interest, as it
ensures the growth and survival of higher plants. Despite
the long familiarity of these transport mechanisms,
quantifying their physical properties remains a complicated
task due to the many factors that influence transport. Also,
efficiently measuring the flow itself often poses a problem,
as many sampling methods are destructive and may distort the
allocation. Therefore, non-invasive methods utilising
radioactive tracers have been established in plant
physiological and ecological research. For example, CO2
marked with the short-lived radioisotope 11C can be
introduced to the plant as carbon source to investigate
carbon partitioning. The tracer inside the plant organs can
be detected and localised by positron emission tomography
(PET). In order to estimate certain transport properties,
the obtained spatially and temporally resolved tracer data
can be analysed with mathematical methods. Here, we present
the modelling approach of Bühler et al. (2014-2018), who
introduced a model family that represents tracer transport
in the phloem in several compartments. Between the
compartments axial convection as well as lateral exchange
can take place. We demonstrate how this modelling framework
allows estimation of transport parameters such as plant
specific flow velocities and the amount of tracer stored
along the transport pathway by fitting them to
experimentally obtained data. Finally, we discuss how the
modelling framework can be extended to enable analysis of
complex datasets from branched plant structures.},
month = {Oct},
date = {2021-10-28},
organization = {Carbon Allocation in plants,
Versailles (France), 28 Oct 2021 - 29
Oct 2021},
subtyp = {After Call},
cin = {IBG-2},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {2172 - Utilization of renewable carbon and energy sources
and engineering of ecosystem functions (POF4-217)},
pid = {G:(DE-HGF)POF4-2172},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/906007},
}