The interaction of resources and weather cues enables optimization of reproductive delay in masting plants

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Authors

Dave Kelly, Jakub Szymkowiak, Andrew Hacket-Pain, Michał Bogdziewicz

Abstract

Interannual variability of seed production, known as masting, has far-reaching ecological impacts including effects on forest regeneration and the population dynamics of seed consumers. It is important to understand the mechanisms driving masting patterns to help predict how plant populations and ecosystem dynamics may change into the future, and for short-term forecasting of seed production to aid management decisions. We used long-term observations of individual flowering effort in snow tussocks (Chionochloa pallens) and European beech (Fagus sylvatica) to test how endogenous resource levels and weather variation interact in driving masting in these species. In both species, there was an interaction between the weather cue and plant resources. If resource levels were high, even weak temperature cues triggered relatively high reproductive effort, and depleted resources suppressed reproduction even in the presence of strong cues. Thus, resource dynamics played dual roles of both suppressant and prompter of reproduction, allowing plants to fine-tune the length of intervals between large-seeding years regardless of variable cue frequency. The strong interaction between resource storage and weather cues has immediate application in mast forecasting models increasingly important for global afforestation efforts. Moreover, the important role of resource storage in the plant response to weather cues will dictate the masting responses to climate change.

DOI

https://doi.org/10.32942/X2MP6C

Subjects

Ecology and Evolutionary Biology, Forest Sciences, Life Sciences

Keywords

flowering, mast seeding, seed production, resource budgets

Dates

Published: 2024-11-26 12:48

License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
none

Data and Code Availability Statement:
Data and code will be published along with the peer-reviewed manuscript.