Last data update: 2014.03.03

R: Closed chamber fluxes from 2009 to 2011 in the Ahlenmoor peat...
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Closed chamber fluxes from 2009 to 2011 in the Ahlenmoor peat bog, Northeast Germany

Description

CO2 exchange rates determined with closed chamber measurements and cooresponding measurements of temperatures, photosynthetically actiove radiation, and other variables in the Ahlen-Falkenberger Moor peat bog complex from 2009 to 2011 on one specific plot (3 replicates) ....

Usage

data(amd)

Format

A data frame with 559 observations on the following 14 variables.

timestamp

POSIXlt representing the date and time for the measurements

campaign

Numeric. Representing IDs of the measurement campaigns, i.e. data sharing on campaign were acquired within short time period (typically one day but sometimes also two consecutive days)

plot

Numeric. Representing the field plot numbers

kind

Character vector giving the kind of chamber measurements. Either "D" for dark (opaque) chamber measurements (i.e., R_eco measurements) or "T" for transparent chamber measurements (i.e., NEE measurements)

flux

Numeric. The estimated flux rate. CO2 exchange in micromole per sqm and second

PAR

Numeric. Average photosynthetically active radiation during the flux measurement. Actually represents PPFD (photon flux density) in micromole per sqm and second

t.air

Numeric. Average air temperature during chamber measurement in °C

t.soil2

Numeric. Average soil temperature in 2cm depth during chamber measurement in °C

t.soil5

Numeric. Average soil temperature in 5cm depth during chamber measurement in °C

t.soil10

Numeric. Average soil temperature in 10cm depth during chamber measurement in °C

n.meas

Numeric giving the number of concentration measurements that were available to estimate the flux

duration

Factor with 282 levels giving the duration of measurement in the field, format is "%H:%M"

r.squared

Numeric. The R2s of the linear regression models that were fit to the concentration data to estimate the fluxes (with fluxx)

sigmif

Numeric. The significance of the linear regression models

Source

Saschas Doktorarbeit

References

Beetz S (2014) ???

Examples

data(amd)

Results