Soil Morphologic, Geochemical, and Mineralogy Data from Rowley et al. 2019.
Data from Table 1 and Supplementary Tables 1 and 2 from "A cascading influence of calcium carbonate on the biogeochemistry and pedogenic trajectories of subalpine soils, Switzerland".
data(rowley2019)
A SoilProfileCollection
object:
site-level attributes
profile ID
profile group
horizon-level attributes
sample ID
horizon name
pH
cmol(+) / kg, exchangeable Al
cmol(+) / kg, exchangeable Ca
cmol(+) / kg, cation exchange capacity calculated as the sum of exchangeable cations, not including H+
percent
percent
percent, total nitrogen
percent, soil organic carbon
carbon to nitrogen ratio
g/kg, oxalate-extractable Al
g/kg, oxalate-extractable Fe
g/kg, dithionite-extractable Al
g/kg, dithionite-extractable Fe
Fe_o to Fe_d ratio
profile ID
horizon top (cm)
horizon bottom (cm)
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
g/kg by x-ray fluorescence
percent by x-ray diffraction spectra
percent by x-ray diffraction spectra
percent by x-ray diffraction spectra
percent by x-ray diffraction spectra
percent by x-ray diffraction spectra
percent by x-ray diffraction spectra
percent
percent
percent
percent <2um
percent 2-50um
percent 50-2000um
Milliq ex: grams of Ca per kilogram of dry soil (g kg-1)
2M KCl: grams of Ca per kilogram of dry soil (g kg-1)
0.05 M Na2EDTA: grams of Ca per kilogram of dry soil (g kg-1)
0.5 M CuCl2: grams of Ca per kilogram of dry soil (g kg-1)
horizon ID
Mike C. Rowley, Stephanie Grand, Thierry Adatte, Eric P. Verrecchia, Cascading influence of calcium carbonate on the biogeochemistry and pedogenic trajectories of subalpine soils), Switzerland, Geoderma, 2019, 114065, ISSN 0016-7061, doi: 10.1016/j.geoderma.2019.114065.
library(lattice) # load data data('rowley2019') # check first 5 rows and 10 columns of horizon data horizons(rowley2019)[1:5, 1:10] # check site data site(rowley2019) # graphical summary par(mar=c(1,1,3,1)) plotSPC(rowley2019, color='Feo_Fed', name='name', cex.names=0.85) plotSPC(rowley2019, color='Ca_exch', name='name', cex.names=0.85) # grouped plot groupedProfilePlot(rowley2019, groups = 'group', color='Ca_exch', name='name', cex.names=0.85, group.name.offset = -10) # aggregate over 1cm slices, for select properties a <- slab(rowley2019, group ~ Reactive_carbonate + Ca_exch + pH + K_Feldspar + Na_Plagioclase + Al) # plot styling tps <- list(superpose.line=list(lwd=2, col=c('royalblue', 'firebrick'))) # make the figure xyplot(top ~ p.q50 | variable, data=a, ylab='Depth', groups=group, main='', as.table=TRUE, xlab='median bounded by 25th and 75th percentiles', lower=a$p.q25, upper=a$p.q75, ylim=c(55,-5), panel=panel.depth_function, prepanel=prepanel.depth_function, cf=a$contributing_fraction, alpha=0.33, sync.colors=TRUE, scales=list(x=list(relation='free', alternating=1)), par.settings=tps, auto.key=list(columns=2, lines=TRUE, points=FALSE), strip=strip.custom(bg=grey(0.9)) )
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