# Q10: Parameters of Q10 Temperature Coefficient In respirometry: Tools for Conducting and Analyzing Respirometry Experiments

## Description

Calculates parameters from Q10 temperature coefficient for chemical or biological systems. This function can be used in two ways. 1. if four of the first five parameters are given (`Q10`, `R1`, `R2`, `T1`, `T2`) then the fifth parameter is returned, or 2. if `R_vec` and `T_vec` are given, then the best Q10 for those data is returned.

## Usage

 `1` ```Q10(Q10, R1, R2, T1, T2, R_vec, T_vec, model = FALSE) ```

## Arguments

 `Q10` factor by which rate changes due to 10 °C increase in temperature. `R1` rate 1. `R2` rate 2. `T1` temperature 1 (in °C). `T2` temperature 2 (in °C). `R_vec` a vector of rate values. `T_vec` a vector of temperature values (in °C). `model` logical. If `TRUE`, then a list is returned which includes an exponential model of `R_vec` and `T_vec` fit by `stats::nls()`.

## Details

Q10 = (R2 / R1) ^ (10 / (T2 - T1))

## Author(s)

Matthew A. Birk, [email protected]

`scale_MO2`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34``` ```Q10(R1 = 5, R2 = 10, T1 = 10, T2 = 20) # Returns Q10; = 2 Q10(Q10 = 2.66, R1 = 5, T1 = 10, T2 = 20) # Returns R2; = 13.3 # My species has an MO2 of 9.5 umol/g/h at 10 *C. What MO2 should I expect at 13 *C? Q10(Q10 = 2, R1 = 9.5, T1 = 10, T2 = 13) # expect ~11.7 umol/g/h at 13 *C. # I measured MO2 at a spectrum of temperatures. What Q10 value best fits my data? Q10(R_vec = c(1, 2, 5, NA, 18, 33), T_vec = c(0, 10, 20, 30, 40, 50)) # I want to see a plot of my data with a Q10 curve through them. T_vec = c(5, 13, 13, 20, 27) # dummy data R_vec = c(1, 3, 4, 9, 20) curve_x = data.frame(T_vec = seq(5, 30, by = 0.01)) best_fit = Q10(R_vec = R_vec, T_vec = T_vec, model = TRUE)\$model curve_y = predict(best_fit, newdata = curve_x) plot(T_vec, R_vec) lines(curve_x\$T_vec, curve_y) # A 100 g individual at 10 *C has an MO2 of 1270 umol/h. How much # would a 250 g individual likely consume at 14 *C? Q10(Q10 = 2, R1 = scale_MO2(mass_1 = 100, MO2_1 = 1270, mass_2 = 250), T1 = 10, T2 = 14) # Visualize MO2 scaling by mass and temperature: mass <- seq(10, 200, 10) temp <- 10:25 base_mass <- 50 base_temp <- 20 base_MO2 <- 750 mo2 <- outer(mass, temp, function(mass, temp){ scale_MO2(mass_1 = base_mass, mass_2 = mass, MO2_1 = Q10(Q10 = 2, R1 = base_MO2, T1 = base_temp, T2 = temp)) }) persp(mass, temp, mo2, xlab = 'Mass (g)', ylab = 'Temperature (*C)', zlab = 'MO2 (umol / hr)', theta = 35, phi = 15, expand = 0.5, ticktype = 'detailed', nticks = 10) ```

respirometry documentation built on Aug. 13, 2018, 9:04 a.m.