Optimization and Game Theory in Canopy Models

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


Ecological optimization theory in combination with canopy modeling is increasingly being accepted as a powerful tool in various scientific fields including ecology, crop science and global change biology. However, the success of this approach critically depends on the adequate choice of optimization criteria and on the structure and assumptions of the canopy models towhich it is
linked. This chapter starts with the conventional optimization criterion, that of static plant simple optimization, whereby traits are assumed optimal when whole-canopy carbon gain is maximized. It shows how this approach has been widely and often successfully used but also howit often fails to capture key features of vegetation stands. It then lays out a number innovative steps by which optimization could be made more amenable to our understanding of real plant systems. These include: the introduction of evolutionary game theory that takes plant competition into account, the shift from static photosynthesis to dynamic growth models and expanding from simple fitness proxies such as photosynthesis to local population growth. Overall it is argued that future optimization models should employ combinations of these elements.
Original languageEnglish
Title of host publicationCanopy Photosynthesis: From Basics to Applications
EditorsKouki Hikosaka, Ülo Niinemets, Niels P.R. Antan
Place of PublicationDordrecht
ISBN (Electronic)9789401772914
ISBN (Print)9789401772907
Publication statusPublished - 2016

Publication series

NameAdvances in Photosynthesis and Respiration
ISSN (Print)1572-0233

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