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Optimal allocation strategies of perennial plants

Titelangaben

Mironchenko, Andrii ; Kozłowski, Jan:
Optimal allocation strategies of perennial plants.
In: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC 2013) : Proceedings. - Piscataway, NJ, USA : IEEE , 2013 . - S. 3361-3366
ISBN 978-1-4673-5714-2
DOI: https://doi.org/10.1109/CDC.2013.6760397

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

In this paper we propose a novel optimal allocation model for perennial plants. We consider not only favorable for photosynthesis periods, but analyze the whole life of a perennial plant. This provides more information about strategies of a plant during transitions between favorable and unfavorable seasons. One of predictions of our model is that a plant can begin re-establishment of vegetative tissues some time before the beginning of the favorable conditions, so as to come into the better environmental conditions with a certain amount of already developed vegetative tissues.

In the second part of the paper we extend the model by assuming that a plant controls not only a distribution of carbohydrates, but also a size of a seed. We provide sufficient conditions under which the optimal strategy for a plant is to produce as much seeds as possible. These results can be applied, in particular, for colonizing species and plants living in open environments.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: biological systems; optimal control; modeling; perennial plants
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Mathematik V (Angewandte Mathematik)
Profilfelder > Advanced Fields > Nichtlineare Dynamik
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Zentrum für Modellierung und Simulation (MODUS)
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 510 Mathematik
Eingestellt am: 07 Mär 2025 11:05
Letzte Änderung: 07 Mär 2025 11:05
URI: https://eref.uni-bayreuth.de/id/eprint/92683