mortality.df: Mortality rates for different species

In jmcurran/jaggR: Supporting Files and Functions for the Book Bayesian Modelling with 'JAGS'

Mortality rates for different species

Description

Ecologists Michael McCoy and James Gillooly were interested in predicting mortality rates for different species based on a number of variables including body mass, temperature. In their paper (McCoy and Gillooly, 2008) they explore the hypothesis that the natural logarithm of temperature‐corrected mortality rate should be a linear function of the natural logarithm of body mass. The temperature-corrected mortality rate is based upon previous work which draws on results from biology, biochemistry, and thermodynamics. Users are encouraged to read the original source for a deeper explanation.

Usage

mortality.df

Format

a data.frame with 2117 rows and 4 columns:

group

a factor indicating which one of the six taxonimic groups the observation belongs to: bird, fish, invertebrate, mammal, multicellular plant, and phytoplankton.

species

the species of the observation.

mass

the body mass in grams (g).

mortality

the mortality rate.

temp

the average body temperature in degrees Celcius.

E

average activation energy of heterotrophic respiration in animals (0.65 eV) or photosynthesis in plants (0.32 eV).

mort.corrected

mortality corrected by a Boltzmann-Arrhenius factor, specifically, divided by exp(-E/k * (1 / T - 1 / T20)), where k is Boltzmann constant 8.62 x 10^-5, T20 is 20 degrees Celcius in degrees Kelvin, i.e. 293, and T is average body temperature temp in degrees Kelvin.

Source

McCoy, M.W. and Gillooly, J.F. (2008), Predicting natural mortality rates of plants and animals. Ecology Letters, 11: 710-716. https://doi-org.ezproxy.auckland.ac.nz/10.1111/j.1461-0248.2008.01190.x

jmcurran/jaggR documentation built on Nov. 2, 2023, 11:04 a.m.