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.
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
Karline Soetaert <email@example.com>
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.
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
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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)) B <- (coef(ll)) 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)
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