Chlorella_TRC: Example metabolic thermal response curves

In nls.multstart: Robust Non-Linear Regression using AIC Scores

Example metabolic thermal response curves

Description

A dataset containing example data of rates of photosynthesis and respiration of the phytoplankton Chlorella vulgaris. Instantaneous rates of metabolism were made across a range of assay temperatures to incorporate the entire thermal response of the populations. The dataset is the cleaned version so some datapoints have been omitted.

Usage

data("Chlorella_TRC")

Format

A data frame with 649 rows and 7 variables:

curve_id

a unique value for each separate curve

growth.temp

the growth temperature that the culture was maintained at before measurements were taken (degrees centigrade)

process

whether the cultures had been kept for a long time at their growth temperature (adaptation/~100 generations) or a short time (a measure of acclimation/~10 generations)

flux

whether the curve depicts respiration or gross photosynthesis

temp

the assay temperature at which the metabolic rate was measured (degrees centigrade)

K

the assay temperature in degrees Kelvin

ln.rate

the metabolic rate measured (micro mol O2 micro gram C-1 hr-1)

Source

Daniel Padfield

References

Padfield, D., Yvon-durocher, G., Buckling, A., Jennings, S. & Yvon-durocher, G. (2015). Rapid evolution of metabolic traits explains thermal adaptation in phytoplankton, Ecology Letters, 19, 133-142.

Examples

data("Chlorella_TRC")
library(ggplot2)
ggplot(Chlorella_TRC) +
 geom_point(aes(temp, ln.rate, col = process)) +
 facet_wrap(~ growth.temp + flux)

nls.multstart documentation built on Aug. 15, 2023, 5:07 p.m.