Rainfall Manipulation Plot Data Manual

 

Soil Temperature

 

History:

Soil Temperature was collected in the middle block plots (6,7,8,9,10) at 5 and 15 cm depths during the growing season from 1998 through 2003.  From 2003 to present, soil temperature has been collected at 2 cm, 5 cm, and 15cm depths year round in each subplot in plots 2, 3, 7, 8, 9, 11, and 12.  Each subplot contained two 2cm thermocouples, three 5cm thermocouples, and one 15 cm thermocouple.  Accessory grazing experiment in the minirhizotron subplot removed grass canopy cover and altered soil temperature in 2008-present.  Probes possibly affected by her project were removed from the dataset before the summary was created.

 

Collection:

The type-T Thermocouples are multiplexed through an AM25T and read by a CR10x data logger located in the block nema4 which measures the temperature (0C) every 30 seconds and records an average every 30 minutes.  Daily automated data collection.

 

Processing:

After automated data collection, soil temperature data is pulled from each blocks logger file and merged together to create a soil temperature dataset with treatment labels for all plots. 

 

Column Explanation/format:  soiltemp_summary98_**.sds

Date:               ddMMMyy     

Ramp:             Plot (1-15)

Subplot:           Subplot (1-4) –N/A prior to 2003

Depth:             Depth of probe (cm)

Subtrt:             Heat Treatment (warm/ctrl)

Trt:                   Precipitation Treatment (‘98-‘02 ambi/vari/both/drgt/ctrl)(‘03-present ambi/vari/ctrl)

MaxTemp:      Highest ½ hour average (0C)

MinTemp:        Lowers ½ hour average (0C)

MeanTemp:    Average Temperature (0C)

Day_temp:      Average Temp noon-4pm (0C)

Night_temp:    Average Temp midnight-4am (0C)

Year:               Year (YYYY)

Drgt:                Drought Treatment indication (0=no, 1=yes) only valid ’98-‘02

Vari:                 Variable Rainfall indication (0=no, 1=yes)

Temp:              Heated sub-treatment  indication (0=no, 1=yes)

Block:              Block design assignment (s=south, m=middle, n=north)

Jday                Julian day (yyyyddd)

 

TDR Soil Moisture

 

History:

Soil moisture data were collected on a weekly basis during the growing season starting in 1998. Measurements were taken using TDR probes and a portable cable tester. Sixteen measurements were taken in each plot for each depth (0-15cm and 0-30cm) until 2001 when the number of measurements per plot was decreased to four at each depth (one measurement per subplot). In 2002 only 0-30cm data were collected. The TDR system was replaced in 2005 with an automated system which collected data from one Campbell Scientific CS616 probe per subplot at the 0-15cm depth throughout the year.  In June 2006, two 0-30cm probes per plot were added to the system.  In 2008, two additional 0-30cm cs616 probes were added per plot to the remaining subplots.   

Collection:

The TDR probes were measured with a portable cable tester which was carried to each plot by a technician. The technician connected the cable tester to each probe’s cable and recorded a valid reading. In the automated system, each CS616 probe in a block is multiplexed through an AM16/32 and read by a CR10X. Beginning in 2005, a measurement was taken every 60 seconds, and an average of these values was recorded every 30 minutes. In July 2006, though the 30 minute output interval remained unchanged, the number of measurements taken was decreased to one every 120 seconds. Data are automatically collected from the logger on a daily basis.

 

Processing:

After TDR data were collected in the field, they were hand-entered into a computer, and site-specific calibrations were applied using SAS to calculate volumetric water content (VWC).   After CS616 data is automatically downloaded, it is processed using SAS which combines data from each block and calculates VWC using the site-specific quadratic equation.   TDR data were processed as follows:

* Removed impossible values (VWC<0.05 or VWC>1)

* Performed regressions to predict missing 0-15cm data from 0-30cm data and vise versa.

* Filled gaps of missing data at one depth using the value from the other depth and the regression equation

CS616 data are processed as follows:

* Remove data from time periods when a probe may be malfunctioning. These data are found by finding the average difference between the two probes of the same sub-treatment and depth in each plot. If the difference at any one point is farther than one standard deviation from the mean difference, then the probe of that sub-treatment and depth with the value that is farthest from the mean VWC for the plot at that depth  is removed.

* Data are graphed and checked visually for:

o Long time periods when a probe is obviously malfunctioning (lagged response to rain events, exaggerated swings from very wet to very dry)

o Time periods when both probes of the same sub-treatment and depth are malfunctioning

o Blow-in events where parts of a plot got rain and others did not (these remain in the dataset)

* Perform regressions to predict missing values using data from the other probe of the same sub-treatment and depth in a plot (blow-in events are not used in the regressions)

* Fill gaps with predicted values

Following these steps, TDR and CS616 data are combined and high VWC values are capped at .60. Then two datasets are created. One with CS616 data at a 30 minute interval and another with a daily mean VWC. These datasets are named soilmoisture98**_30min.sds and soilmoisture98**_daily.sds (where ** represents the most recent year) respectively. Both datasets include gap-filled and unfilled data.

 

Column Explanation/format: soilmoisture98**_daily.sds 

Date:               ddMMMyy     

Ramp:             Plot (1-15)

Subplot:           Suplot (1-4) –N/A prior to 2003

Depth_cm:      Probe Depth (15cm or 30cm)

VWC:              Volumetric Water Content (%)

VWC_filled:     Volumetric Water Content Gap filled data (%)

Sample:           Sample # within plot (only relevant ’98-’02)

Year:               Year (YYYY)

Trt:                   Precipitation Treatment (‘98-‘02 ambi/vari/both/drgt/ctrl)(‘03-present ambi/vari/ctrl)

Drgt:                Drought Treatment indication (0=no, 1=yes) only valid ’98-‘02

Vari:                 Variable Rainfall indication (0=no, 1=yes)

Temp:              Heated sub-treatment  indication (0=no, 1=yes)

Block:              Block design assignment (s=south, m=middle, n=north)

Subtrt:             Heat Treatment (warm/ctrl)

Jday                Julian day (ddd)

 

Canopy Temperature

 

History:

In April of 2004, two Apogee infrared canopy temperature sensors were installed in plots 2, 3, 11, and 12, one per sub-treatment.  Sensors were removed prior to each spring burning and replaced shortly following.  In July 2010 Sensors were removed and used for the Climate Extremes Experiment.  Ants at various times built nests in the junction boxes which altered the sensor signal requiring removal of blocks of data.                         

 

Collection:

Sensors were read every 30 seconds by a CR10x datalogger. 

 

Processing:

SAS run to filter the data by:

* Removing out of range values (<-400C or >600C)  

* Generates correlation coefficients between sensors of like treatment

* Removes probes with <.8 correlation to sensors with the same treatment

* Creates sub-treatment means

* Adds additional treatment variables and labels

 

Column Explanation/format:  camopytemp98**.sds

Subtrt:             Heat Treatment (warm/ctrl)

Date:               ddMMMyy     

Time:               hh:mm

Jday                Julian day (ddd)

Year:               Year (YYYY)

Ramp:             Plot (1-15)

Trt:                   Precipitation Treatment (‘98-‘02 ambi/vari/both/drgt/ctrl)(‘03-present ambi/vari/ctrl)

Drgt:                Drought Treatment indication (0=no, 1=yes) only valid ’98-‘02

Vari:                 Variable Rainfall indication (0=no, 1=yes)

Temp:              Heated sub-treatment  indication (0=no, 1=yes)

Block:              Block design assignment (s=south, m=middle, n=north)

TempC:           Temperature of canopy in viewing area (0C)

 

 

Neutron Probe Soil Moisture

 

History:

Deep soil moisture has been monitored at RaMPS every 2-4 weeks with a Troxler 4300 neutron probe since 2001.  A technician lowers the probe into three aluminum access tubes per plot to 25, 50, 75, 100, 125, and 150 cm depths (deeper depths omitted if bed rock present) and allows the probe to calculate volumetric water content using the factory provided calibration.  Since heating began in 2003, tubes “1” and ”3” are in heated subplots, “2” is not.  The value is recorded in kg H2O/m3.  Originally, the reading was allowed to average over a 60 second period.  This was lowered to 15 seconds in late 2010 after comparative tests.  A calibration attempt was made in 2007 by comparing probe readings and oven dried soil samples collected using a geoprobe soil corer at a site below plot 6.  Depth specific calibration equations were created but due to topography and low correlation don’t eliminate much variability in the data.  Due to soil variability and the inability to create tube specific calibrations, caution should be used in the use of this data.  A summary dataset expressing VWC as an index value is also created.              

 

Collection:

Manual collection from hand held probe.  Values recorded on data sheets and hand entered into an excel spreadsheet.  

 

Processing:

SAS program run which indexes to the wettest value for each hole each day, creates an average, and reformats variables to the standard naming format.  This dataset is useful for comparing water distribution within the soil column at a given date but does not allow for direct comparisons across dates.    

 

Column Explanation/format:  NP_index_01**.sds

Date:               ddMMMyy     

Ramp:             Plot (1-15)

Trt:                   Precipitation Treatment (‘98-‘02 ambi/vari/both/drgt/ctrl)(‘03-present ambi/vari/ctrl)

Jday                Julian day (ddd)

Year:               Year (YYYY)

Drgt:                Drought Treatment indication (0=no, 1=yes) only valid ’98-‘02

Vari:                 Variable Rainfall indication (0=no, 1=yes)

Depth:             Depth of probe (cm)

Hole 1:             VWC in hole 1 at that depth/Max VWC for hole 1 on that day

Hole 2:             VWC in hole 2 at that depth/Max VWC for hole 2 on that day

Hole 3:             VWC in hole 3 at that depth/Max VWC for hole 3 on that day

Average:         Average of the index values at the 3 locations within the plot at that depth

 

Ceptometer    

 

History: 

Light penetration though the plant canopy has been measured since 2003 with a Decagon AccuPAR quantum sensor which measures photosynthetically active radiation over the length of an 84cm long rod.  Readings were used to determine heater height: 120 cm above 60% light loss.                 

 

Collection:

Readings are taken every 10 cm from the ground to the top of the canopy mid day at 2-3 week intervals during the growing season.  Two measurement sets are taken in the southeast (sunny) half of each subplot and one on the northwest (partially shaded by heater) half of the plot.  Values are recorded on a data sheet in the field and entered by hand into an excel spreadsheet. 

 

Processing:

After excel entry, SAS program is run to add treatment labels, average values and determine percent PAR transmittance and percent PAR reduction. 

 

Column Explanation/format:  ceptometer03**.sds

Ramp:             Plot (1-15)

Trt:                   Precipitation Treatment (ambi/vari/ctrl)

Subplot:           Suplot (1-4) –N/A prior to 2003

Subtrt:             Heat Treatment (warm/ctrl)

Height:             distance above ground (cm)

Par1:               mmol m-2s-1

Par2:               mmol m-2s-1

Par3:               mmol m-2s-1

Date:               ddMMMyy

Subplotpct:      averaged % PAR reduction 

Pcttrans:          averaged % PAR transmittance

Temp:              Heated sub-treatment  indication (0=no, 1=yes)

Vari:                 Variable Rainfall indication (0=no, 1=yes)

 

Soil CO2

 

History: 

Soil CO2 flux has been monitored at RaMPs since 1998.  A Li 6200 collected data from 1998 until the fall of 2007.  From the spring of 2008 to present, two Li 8100’s with 10 cm chambers were used.  A cross calibration between the two systems in 2008 showed no significant difference in flux values, although variability was greatly reduced with the Li 8100.  Between 1998 and 2002, 5 measurements were taken per plot.  When the heat treatment was added in 2003, 2 measurements per subplot, on separate collars, were taken.  The height of the soil collars used for the 8100 is measured several times a season to increase the accuracy of the reading.        

 

Collection:

A technician places the chamber onto the seasonally placed PVC collar, inputs the location, and runs the IRGA program which stores the flux values over a 45 second period and calculates a flux value.  After collection, the 8100 is connected to a PC and the data is downloaded to the network. 

 

Processing:

Licor File Viewer exports the data to a text file where the two machines’ files are merged. 

Data is pulled into SAS, the correct soil collar height added to each specific location and flux recalculated with the corrected chamber volume.

 

Column Explanation/format:  soilflux98**.sds

Date:               ddMMMyy     

Ramp:             Plot (1-15)

Meas:              Measurement # (1-5) valid ’98-‘02

Page:               Location of raw data file

Year:               Year (YYYY)

Trt:                   Precipitation Treatment (‘98-‘02 ambi/vari/both/drgt/ctrl)(‘03-present ambi/vari/ctrl)

Drgt:                Drought Treatment indication (0=no, 1=yes) only valid ’98-‘02

Vari:                 Variable Rainfall indication (0=no, 1=yes)

Block:              Block design assignment (s=south, m=middle, n=north)

Photo:              Flux value (mmol m-2 sec-1)

Day:                day of month (dd)      

Month:             Month (mm)

Subplot:           Suplot (1-4) –N/A prior to 2003

Temp:              Heated sub-treatment  indication (0=no, 1=yes)

Subtrt:             Heat Treatment (warm/ctrl)