Behavioral thermoregulation of flowers via petal movement

Koski, Matthew1

Published Aug 30, 2024 on Dryad. https://doi.org/10.5061/dryad.jdfn2z3jc

Data files

Aug 30, 2024 version files 4.21 MB

2021_traits_temp_field.xlsx

172.24 KB
petal_open_close_data.xlsx

22.55 KB
population_average_traitsandtemp.xlsx

100.56 KB
README.md

2.33 KB
Temp_plasticity.xlsx

154.01 KB
TLC_vid_visit_angle_temp_data_21_22.xlsx

158.39 KB
TLC_visitation_2021_2022.xlsx

3.48 MB
UVpetal_traits_and_IR_Reflectance_field2021.xlsx

114.11 KB

Abstract

Widely documented in animals, behavioral thermoregulation mitigates negative impacts of climate change. Plants experience especially strong thermal variability but evidence for plant behavioral thermoregulation is limited. Along a montane elevation gradient, Argentina anserina flowers warm more in alpine populations than at lower elevation. We linked floral temperature with phenotypes to identify warming mechanisms, and documented petal movement and pollinator visitation using time-lapse cameras. High elevation flowers were more cupped, focused light deeper within flowers, and were more responsive to air temperature than low; cupping when cold and flattening when warm. At high elevation, a 20º increase in petal angle resulted in a 0.46ºC increase in warming. Warming increased pollinator visitation, especially under cooler high elevation temperatures. A plasticity study revealed constitutive elevational differences in petal cupping and stronger temperature-induced floral plasticity in high elevation populations. Thus, plant populations have evolved different behavioral responses to temperature driving differences in thermoregulatory capacity.

README: Behavioral thermoregulation of flowers via petal movement

https://doi.org/10.5061/dryad.jdfn2z3jc

In this study we measured floral traits linked with floral temperature in populations spanning an elevation gradient in Southwestern Colorado. We linked traits with air temperature at flower-level and with the magnitude of mid-day floral warming. We used time-lapse cameras to measure petal movement timing, floral responses to temperature, and pollinator visitation to flowers. We then collected floral phenotypic data on plants in a cool and warm growth chamber treatment to measure floral trait plasticity in low and high elevation populations,

Description of the data and file structure

List of Excel Files. All files have a 'data' tab with the data analyzed, and a 'metadata' tab with descriptions of column headers.

2021_traits_temp_field.xlsx: Floral traits measured at mid-day in natural populations of Argentina anserina and associated mid-day internal flower temperature, external flower air temperature and the temperature differential between internal and external temperature probes.

petal_open_close_data.xlsx: The timing of floral opening and closing of flowers measured in the field using time-lapse cameras.

UVpetal_traits_and IR_Reflectance_field2021.xlsx: Floral color patterning traits measured using UV photography, and petal reflectance data measured using reflectance spectrometry. Data collected from field-collected flowers.

TLC_vid_visit_angle_temp_data_21_22.xlsx: Petal angle data measured on time-lapse camera videos associated with temperature data collected using thermocouples.

population_average_traitsandtemp.xlsx: average floral phenotypic data and temperature data to measure population-level correlations between traits and floral warming.

TLC_visitation_2021_2022.xlsx: pollinator visitation data measured from time-lapse cameras with associated temperature data measured using thermocouple probes.

Temp_plasticity.xlsx: Floral phenotypes measured on plants in cold and warm temperature treatments in growth chambers used to measure phenotypic plasticity.

In all data files, missing values are indicated by "NA".

Code/Software

flower.thermoreg.code_final.R contains all code used to analyze data from the above Excel files.