Zoogrowth: a zooplankton growth dataset

In ecolMod: "A Practical Guide to Ecological Modelling - Using R as a Simulation Platform"

Description

This literature dataset, compiled by Hansen et al. (1997) contains 84 measurements of maximal growth rates as a function of organism volume and temperature for various species of zooplankton. The maximal growth rates were obtained from laboratory experiments.

It is used in the book to demonstrate how one can obtain order-of-magnitude estimates of model parameters (i.c. maximal growth) via allometric relations, i.e. by performing log-log regression of organism rates versus size.

Usage

Zoogrowth

Format

a dataframe with 84 rows, and with following columns:
Volume.um3, the volume in [um 3].
Mumax.hr, the maximal growht rate, [/hour]
Species, the name of reared zooplankton species
Temp.dgC, the rearing temperature, [dg C]
Group, the systematic group to which the organism belongs, one of Nanoflagellate, Dinoflagellate, Ciliate, Rotifer, Meroplankton, Copepod

Author(s)

Karline Soetaert <[e-mail]>

References

Hansen PJ, Bjornsen PK, Hansen BW, 1997. Zooplankton grazing and growth: Scaling within the 2-2,000-mu m body size range. Limnology and Oceanograpy 42: 687-704.

See Also

SCOC, a dataset containing sediment community oxygen consumption rates
see the paper of Hansen et al. 1997 for a description of the original literature sources of this dataset

Examples

ii <- which(Zoogrowth[ ,2]>0)
plot(Zoogrowth[ii, 1], Zoogrowth[ii, 2], log = "xy",
     xlab = "zooplankton volume, micrometer ^ 3", ylab = "" ,
     main = "maximal growth rate, /hr", pch = 16, cex.main = 1)

ll <- lm(log(Zoogrowth[ii,2])~ log(Zoogrowth[ii,1]))
rr <- summary(ll)$r.squared
A  <- exp(coef(ll)[1])
B  <- (coef(ll)[2])
curve(A*x^B, add = TRUE, lwd = 2)
AA <- round(A*100)/100
BB <- round(B*100)/100
expr <- substitute(y==A*x^B, list(A=AA,B=BB))
text(100, .0035, expr, adj = 0)
expr2 <- substitute(r^2==rr, list(rr=round(rr*100)/100))
text(100, 0.002, expr2, adj = 0)

ecolMod documentation built on July 21, 2019, 3 p.m.