Towards the flower economics spectrum

Area of Science:

• Evolutionary Biology
• Ecology
• Plant Science

Background:

• Floral traits are critical for plant reproduction, genetic diversity, and evolution.
• Existing frameworks lack a unified approach to floral trait variation and trade-offs.
• Pollinator-mediated selection is traditionally viewed as the primary driver of floral evolution.

Purpose of the Study:

• To propose a unified framework, the floral economics spectrum (FES), for characterizing floral trait variation.
• To incorporate multiple agents of selection and flower functions into understanding floral trait evolution.
• To broaden the drivers of floral traits beyond pollinators, including nonpollinator agents and physiological costs.

Main Methods:

• Conceptual framework development.
• Integration of multiple selection pressures (pollinator and nonpollinator).
• Consideration of physiological costs and trade-offs.

Main Results:

• The proposed floral economics spectrum (FES) provides a unified approach to floral trait variation.
• Nonpollinator selection agents can significantly influence floral trait evolution, sometimes opposing pollinator selection.
• Coordinated evolution and trade-offs among floral and vegetative traits shape trait distribution.

Conclusions:

• The FES framework offers a more comprehensive understanding of floral trait evolution.
• Broader consideration of selection agents and costs is essential for predicting plant evolution and community assembly.
• This framework is vital for understanding biodiversity in the context of global change and pollinator decline.