4.7 Article

Allometric Trajectories and Stress: AQuantitativeApproach

Journal

FRONTIERS IN PLANT SCIENCE
Volume 7, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2016.01681

Keywords

fitness; scaling; morphospace; operationalization; plasticity

Categories

Funding

  1. EU COST Action [FP1106]
  2. Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica, UNAM [IT200515]

Ask authors/readers for more resources

The term stress is an important but vague term in plant biology. We show situations in which thinking in terms of stress is profitably replaced by quantifying distance from functionally optimal scaling relationships between plant parts. These relationships include, for example, the often-cited one between leaf area and sapwood area, which presumably reflects mutual dependence between sources and sink tissues and which scales positively within individuals and across species. These relationships seem to be so basic to plant functioning that they are favored by selection across nearly all plant lineages. Within a species or population, individuals that are far from the common scaling patterns are thus expected to perform negatively. For instance, too little leaf area (e.g., due to herbivory or disease) per unit of active stem mass would be expected to incur to low carbon income per respiratory cost and thus lead to lower growth. We present a framework that allows quantitative study of phenomena traditionally assigned to stress, without need for recourse to this term. Our approach contrasts with traditional approaches for studying stress, e.g., revealing that small stressed plants likely are in fact well suited to local conditions. We thus offer a quantitative perspective to the study of phenomena often referred to under such terms as stress, plasticity, adaptation, and acclimation.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available