SlideShare a Scribd company logo
1 of 1
In Search of the Mechanisms Behind Soil Respiration of a Douglas-
Fir Forest in Complex Terrain Using Natural Abundance 13C
Day of Year
4/1/06 5/1/06 6/1/06 7/1/06 8/1/06 9/1/06 10/1/06 11/1/06
Soil
Respiration
(mol
m
-2
s
-1
)
0
1
2
3
4
5
6
7
8
9
10
11
Valley
Midslope
Ridge
2006 Data
Circle s= ridge
triangles = midslope
diamonds = valley
Solid line and symbols= sf
Dashed line and empty symbols= nf
4/1/06 5/1/06 6/1/06 7/1/06 8/1/06 9/1/06 10/1/06 11/1/06


C
R-s
(‰)
-29
-28
-27
-26
-25
-24
-23
-22
Valley
Midslope
Ridge
4/1/06 5/1/06 6/1/06 7/1/06 8/1/06 9/1/06 10/1/06 11/1/06


C
R-s
(‰)
-33
-32
-31
-30
-29
-28
-27
-26
SF Slope
NF Slope
OBJECTIVE
To use a naturally-occurring
gradient in microclimate across a
small, steep catchment to identify
and quantify biotic and abiotic
factors that influence soil
respiration and its isotopic
signature (13CR-s).
Soil respiration rates exhibited high temporal and spatial variability.
Ridge plots respired on average 0.8 mol m-2s-1 more than
midslope and valley plots.
METHODS
Site: Watershed 1 in HJ Andrews
Forest, OR.
Six highly instrumented plots across a
small, steep catchment were
categorized by topography (slope
position and slope aspect). On these
plots we measured :
Soil moisture and temperature, VPD,
and transpiration across plots.
Soil respiration using a LiCor 6200
with soil chamber.
Isotopic signature of soil respiration
with soil gas wells (Kayler et al. 2008)
Distinct period of enrichment in 13CR-s during the early growing
season could be indicative of an increase in heterotrophic breakdown
of soil carbon or autotrophic breakdown of plant reserves. Signal
gradually becomes more depleted during the seasonal drought
followed by another period of enrichment.
Uncorrected estimates of 13CR-s
13CR-s is not always at steady-state. A fractionation of 4.4‰
due to diffusive gas transport is associated with estimates of
13CR-s that use belowground samples. Thus, all field estimates
should line up on the 4.4 ‰ regression line which is clearly not
the case.
2005 samples taken during the day are enriched. This could
be due to a change in the background signal or atmospheric
incursion into the soil profile (e.g. Millard et al. 2008).
2006 samples taken during the evening are depleted with
reference to the steady-state model. This is likely caused by
advective gas transport.
Only estimates made during steady-state were used in the
subsequent analysis
Figure details: Comparison of uncorrected mixing model
estimate with steady-state model (Amundson et al. 1998).
Two regression lines are shown: one is a 1:1 line with the steady-
state model estimate, the second uses the same model estimates
but they are enriched by 4.4‰.
Uncorrected mixing-model estimates (y-axis) are plotted against
the steady-state estimate (x-axis).
Zachary Kayler1,4, Elizabeth Sulzman2, Holly Barnard1, Barbara Bond1, Alan Mix3
4zachary.kayler@oregonstate.edu
Affiliations: 1 Department of Forest
Science, 2Crop and Soil Science
Department, 3College of
Oceanography and Atmospheric
Science.
13CR-s seasonal patterns remain approximately the same even
when non steady-state estimates are removed. The SF slope
13CR-s values are enriched by 0.42‰ relative to the NF slope
(p<0.01). Enriched signal could be due to SF slope soil organic
matter at 15 and 30 cm (table inset).
Soil Depth NF slope s.e. SF slope s.e.
5 cm -26.7 0.1 -26.4 0.2
15 cm -26.4 0.2 -25.7 0.2
30 cm -25.7 0.2 -25.2 0.1
Soil 13C
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
***
**
***
***
***
***
***
***
**
***
***
*
**
**
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
_
_
0 3 6 9 12
-1.0
-0.7
-0.4
-0.1
0.1
0.3
0.5
0.7
0.9
***
**
***
***
***
***
***
***
**
***
***
*
**
**
Flux
response
13CR-s
response
*
p<0.01
p<0.05
p<0.10
**
***
ABSTRACT:
Soil respiration and its isotopic
signature (13CR-s) varied spatially
and temporally over the growing
season (1)
13CR-s was not always at steady-state
(2)
Transpiration was the principle driver
of soil respiration and 13CR-s (3)
1. Soil Respiration and 13CR-s Seasonal Patterns 2. Observations of Non Steady-State 13CR-s Dynamics 3. Transpiration as a Driver of 13CR-S
Transpiration was positively correlated with soil flux and negatively
correlated with 13CR-s indicating the importance of recent
photosynthates to this system.
First peak in correlation (0-6 lag days) could correspond to root
respiration and microbial breakdown of root exudates.
2006 soil respiration rates
Dashed Line: North Facing (NF) slope
Solid Line: South Facing (SF) slope
Dashed Line: North Facing (NF) slope
Solid Line: South Facing (SF) slope
13CR-s at steady-state corrected by -4.4‰
Lag Days
Pearson’s
Correlation
Coefficient
r
-32
-30
-28
-26
-24
-22
-20
-36 -34 -32 -30 -28 -26 -24 -22 -20
Steady-State Estimate of 13
CR-s (‰)
Uncorrected
Mixing-Model
Estimate
of

13
C
R-s
(‰)
2005
2006
4.4‰
steady-state model
estimate offset by 4.4‰
1:1 line of steady-
state model estimate
Measured during the day
Measured during the night
References: Amundson, R., L. Stern, T. Baisden and Y. Wang.1998. The isotopic composition of soil and soil-
respired CO2. Geoderma 82(1-3): 83-114.
Kayler, Z. E., E. W. Sulzman, J. D. Marshall, A. Mix, W. D. Rugh and B. J. Bond.2008. A laboratory comparison of two methods used to
estimate the isotopic composition of soil CO2 efflux at steady state. Rapid Communications in Mass Spectrometry 22(16): 2533-2538.
Millard, P., A. J. Midwood, J. E. Hunt, D. Whitehead and T. W. Boutton.2008. Partitioning soil surface CO2 efflux into autotrophic and
heterotrophic components, using natural gradients in soil delta C-13 in an undisturbed savannah soil. Soil Biology & Biochemistry 40(7):
1575-1582.

More Related Content

What's hot

Comparing Surface Energy Balances for the Black Forest
Comparing Surface Energy Balances for the Black ForestComparing Surface Energy Balances for the Black Forest
Comparing Surface Energy Balances for the Black Forest
Ryan Bourgart
 
Surface soil moisturescaling
Surface soil moisturescalingSurface soil moisturescaling
Surface soil moisturescaling
posterVienna
 
IGARSS11_HongboSu_ver3.ppt
IGARSS11_HongboSu_ver3.pptIGARSS11_HongboSu_ver3.ppt
IGARSS11_HongboSu_ver3.ppt
grssieee
 
Rangeland Health Soil Indicator - Carbon
Rangeland Health Soil Indicator - CarbonRangeland Health Soil Indicator - Carbon
Rangeland Health Soil Indicator - Carbon
Alex Chessman
 
The Relationship between Surface Soil Moisture with Real Evaporation and Pote...
The Relationship between Surface Soil Moisture with Real Evaporation and Pote...The Relationship between Surface Soil Moisture with Real Evaporation and Pote...
The Relationship between Surface Soil Moisture with Real Evaporation and Pote...
IJEAB
 
Moisst Workshop_Sharma_2016
Moisst Workshop_Sharma_2016Moisst Workshop_Sharma_2016
Moisst Workshop_Sharma_2016
Sonisa Sharma
 

What's hot (20)

Climates of Non-uniform Terrain
Climates of Non-uniform TerrainClimates of Non-uniform Terrain
Climates of Non-uniform Terrain
 
StreamFlow Variability of 21 Watersheds, Oregon
StreamFlow Variability of 21 Watersheds, OregonStreamFlow Variability of 21 Watersheds, Oregon
StreamFlow Variability of 21 Watersheds, Oregon
 
The Effect of Drought and N Availability on Soil Microbial Production, Respir...
The Effect of Drought and N Availability on Soil Microbial Production, Respir...The Effect of Drought and N Availability on Soil Microbial Production, Respir...
The Effect of Drought and N Availability on Soil Microbial Production, Respir...
 
AMIP
AMIPAMIP
AMIP
 
Evaluation of evapotranspiration
Evaluation of evapotranspirationEvaluation of evapotranspiration
Evaluation of evapotranspiration
 
J willis
J willisJ willis
J willis
 
Environmental sensors poster 2019
Environmental sensors poster 2019Environmental sensors poster 2019
Environmental sensors poster 2019
 
Comparing Surface Energy Balances for the Black Forest
Comparing Surface Energy Balances for the Black ForestComparing Surface Energy Balances for the Black Forest
Comparing Surface Energy Balances for the Black Forest
 
Intercomparison
IntercomparisonIntercomparison
Intercomparison
 
Study of Ground Water Recharge from Rainfall in Dhaka City
Study of Ground Water Recharge from Rainfall in Dhaka CityStudy of Ground Water Recharge from Rainfall in Dhaka City
Study of Ground Water Recharge from Rainfall in Dhaka City
 
Surface soil moisturescaling
Surface soil moisturescalingSurface soil moisturescaling
Surface soil moisturescaling
 
Surface and soil moisture monitoring, estimations, variations, and retrievals
Surface and soil moisture monitoring, estimations, variations, and retrievalsSurface and soil moisture monitoring, estimations, variations, and retrievals
Surface and soil moisture monitoring, estimations, variations, and retrievals
 
IGARSS11_HongboSu_ver3.ppt
IGARSS11_HongboSu_ver3.pptIGARSS11_HongboSu_ver3.ppt
IGARSS11_HongboSu_ver3.ppt
 
Rangeland Health Soil Indicator - Carbon
Rangeland Health Soil Indicator - CarbonRangeland Health Soil Indicator - Carbon
Rangeland Health Soil Indicator - Carbon
 
Coupling Solid-Aqueous-Gas Phases Of Carbon And Nitrogen Across Topographic G...
Coupling Solid-Aqueous-Gas Phases Of Carbon And Nitrogen Across Topographic G...Coupling Solid-Aqueous-Gas Phases Of Carbon And Nitrogen Across Topographic G...
Coupling Solid-Aqueous-Gas Phases Of Carbon And Nitrogen Across Topographic G...
 
Annual watercycle
Annual watercycleAnnual watercycle
Annual watercycle
 
Integrated Belowground Greenhouse Gas Flux Measurements and Modeling, Howlan...
 Integrated Belowground Greenhouse Gas Flux Measurements and Modeling, Howlan... Integrated Belowground Greenhouse Gas Flux Measurements and Modeling, Howlan...
Integrated Belowground Greenhouse Gas Flux Measurements and Modeling, Howlan...
 
The Relationship between Surface Soil Moisture with Real Evaporation and Pote...
The Relationship between Surface Soil Moisture with Real Evaporation and Pote...The Relationship between Surface Soil Moisture with Real Evaporation and Pote...
The Relationship between Surface Soil Moisture with Real Evaporation and Pote...
 
Time-lapse analysis with earth resistance and electrical resistivity imaging
Time-lapse analysis with earth resistance and electrical resistivity imagingTime-lapse analysis with earth resistance and electrical resistivity imaging
Time-lapse analysis with earth resistance and electrical resistivity imaging
 
Moisst Workshop_Sharma_2016
Moisst Workshop_Sharma_2016Moisst Workshop_Sharma_2016
Moisst Workshop_Sharma_2016
 

Viewers also liked

Hiddentruthpresentation
HiddentruthpresentationHiddentruthpresentation
Hiddentruthpresentation
Vlada Petkova
 
La Silla de GuillerminaFornes
La Silla de GuillerminaFornesLa Silla de GuillerminaFornes
La Silla de GuillerminaFornes
ESTUDIANTESONLINE
 
Nt4.Actividad PráCtica Nº2
Nt4.Actividad PráCtica Nº2Nt4.Actividad PráCtica Nº2
Nt4.Actividad PráCtica Nº2
ESTUDIANTESONLINE
 

Viewers also liked (12)

Boating accessories
Boating accessoriesBoating accessories
Boating accessories
 
Research on magazine company
Research on magazine companyResearch on magazine company
Research on magazine company
 
Engage Engineering Entrepreneurship Students to Take Action
Engage Engineering Entrepreneurship Students to Take ActionEngage Engineering Entrepreneurship Students to Take Action
Engage Engineering Entrepreneurship Students to Take Action
 
Full Text - Juvenile Arrests And Neighborhood Characteristics
Full Text - Juvenile Arrests And Neighborhood CharacteristicsFull Text - Juvenile Arrests And Neighborhood Characteristics
Full Text - Juvenile Arrests And Neighborhood Characteristics
 
Hiddentruthpresentation
HiddentruthpresentationHiddentruthpresentation
Hiddentruthpresentation
 
Guia Curso Virtual Web Quest
Guia Curso Virtual Web QuestGuia Curso Virtual Web Quest
Guia Curso Virtual Web Quest
 
La Silla de GuillerminaFornes
La Silla de GuillerminaFornesLa Silla de GuillerminaFornes
La Silla de GuillerminaFornes
 
1 Presocratics
1 Presocratics1 Presocratics
1 Presocratics
 
Nt4.Actividad PráCtica Nº2
Nt4.Actividad PráCtica Nº2Nt4.Actividad PráCtica Nº2
Nt4.Actividad PráCtica Nº2
 
Sobre la Comunicación
Sobre la ComunicaciónSobre la Comunicación
Sobre la Comunicación
 
My Corporate Reflections
My Corporate ReflectionsMy Corporate Reflections
My Corporate Reflections
 
Tsm Slideshow
Tsm SlideshowTsm Slideshow
Tsm Slideshow
 

Aguposter2008

  • 1. In Search of the Mechanisms Behind Soil Respiration of a Douglas- Fir Forest in Complex Terrain Using Natural Abundance 13C Day of Year 4/1/06 5/1/06 6/1/06 7/1/06 8/1/06 9/1/06 10/1/06 11/1/06 Soil Respiration (mol m -2 s -1 ) 0 1 2 3 4 5 6 7 8 9 10 11 Valley Midslope Ridge 2006 Data Circle s= ridge triangles = midslope diamonds = valley Solid line and symbols= sf Dashed line and empty symbols= nf 4/1/06 5/1/06 6/1/06 7/1/06 8/1/06 9/1/06 10/1/06 11/1/06   C R-s (‰) -29 -28 -27 -26 -25 -24 -23 -22 Valley Midslope Ridge 4/1/06 5/1/06 6/1/06 7/1/06 8/1/06 9/1/06 10/1/06 11/1/06   C R-s (‰) -33 -32 -31 -30 -29 -28 -27 -26 SF Slope NF Slope OBJECTIVE To use a naturally-occurring gradient in microclimate across a small, steep catchment to identify and quantify biotic and abiotic factors that influence soil respiration and its isotopic signature (13CR-s). Soil respiration rates exhibited high temporal and spatial variability. Ridge plots respired on average 0.8 mol m-2s-1 more than midslope and valley plots. METHODS Site: Watershed 1 in HJ Andrews Forest, OR. Six highly instrumented plots across a small, steep catchment were categorized by topography (slope position and slope aspect). On these plots we measured : Soil moisture and temperature, VPD, and transpiration across plots. Soil respiration using a LiCor 6200 with soil chamber. Isotopic signature of soil respiration with soil gas wells (Kayler et al. 2008) Distinct period of enrichment in 13CR-s during the early growing season could be indicative of an increase in heterotrophic breakdown of soil carbon or autotrophic breakdown of plant reserves. Signal gradually becomes more depleted during the seasonal drought followed by another period of enrichment. Uncorrected estimates of 13CR-s 13CR-s is not always at steady-state. A fractionation of 4.4‰ due to diffusive gas transport is associated with estimates of 13CR-s that use belowground samples. Thus, all field estimates should line up on the 4.4 ‰ regression line which is clearly not the case. 2005 samples taken during the day are enriched. This could be due to a change in the background signal or atmospheric incursion into the soil profile (e.g. Millard et al. 2008). 2006 samples taken during the evening are depleted with reference to the steady-state model. This is likely caused by advective gas transport. Only estimates made during steady-state were used in the subsequent analysis Figure details: Comparison of uncorrected mixing model estimate with steady-state model (Amundson et al. 1998). Two regression lines are shown: one is a 1:1 line with the steady- state model estimate, the second uses the same model estimates but they are enriched by 4.4‰. Uncorrected mixing-model estimates (y-axis) are plotted against the steady-state estimate (x-axis). Zachary Kayler1,4, Elizabeth Sulzman2, Holly Barnard1, Barbara Bond1, Alan Mix3 4zachary.kayler@oregonstate.edu Affiliations: 1 Department of Forest Science, 2Crop and Soil Science Department, 3College of Oceanography and Atmospheric Science. 13CR-s seasonal patterns remain approximately the same even when non steady-state estimates are removed. The SF slope 13CR-s values are enriched by 0.42‰ relative to the NF slope (p<0.01). Enriched signal could be due to SF slope soil organic matter at 15 and 30 cm (table inset). Soil Depth NF slope s.e. SF slope s.e. 5 cm -26.7 0.1 -26.4 0.2 15 cm -26.4 0.2 -25.7 0.2 30 cm -25.7 0.2 -25.2 0.1 Soil 13C _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 *** ** *** *** *** *** *** *** ** *** *** * ** ** _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 _ _ 0 3 6 9 12 -1.0 -0.7 -0.4 -0.1 0.1 0.3 0.5 0.7 0.9 *** ** *** *** *** *** *** *** ** *** *** * ** ** Flux response 13CR-s response * p<0.01 p<0.05 p<0.10 ** *** ABSTRACT: Soil respiration and its isotopic signature (13CR-s) varied spatially and temporally over the growing season (1) 13CR-s was not always at steady-state (2) Transpiration was the principle driver of soil respiration and 13CR-s (3) 1. Soil Respiration and 13CR-s Seasonal Patterns 2. Observations of Non Steady-State 13CR-s Dynamics 3. Transpiration as a Driver of 13CR-S Transpiration was positively correlated with soil flux and negatively correlated with 13CR-s indicating the importance of recent photosynthates to this system. First peak in correlation (0-6 lag days) could correspond to root respiration and microbial breakdown of root exudates. 2006 soil respiration rates Dashed Line: North Facing (NF) slope Solid Line: South Facing (SF) slope Dashed Line: North Facing (NF) slope Solid Line: South Facing (SF) slope 13CR-s at steady-state corrected by -4.4‰ Lag Days Pearson’s Correlation Coefficient r -32 -30 -28 -26 -24 -22 -20 -36 -34 -32 -30 -28 -26 -24 -22 -20 Steady-State Estimate of 13 CR-s (‰) Uncorrected Mixing-Model Estimate of  13 C R-s (‰) 2005 2006 4.4‰ steady-state model estimate offset by 4.4‰ 1:1 line of steady- state model estimate Measured during the day Measured during the night References: Amundson, R., L. Stern, T. Baisden and Y. Wang.1998. The isotopic composition of soil and soil- respired CO2. Geoderma 82(1-3): 83-114. Kayler, Z. E., E. W. Sulzman, J. D. Marshall, A. Mix, W. D. Rugh and B. J. Bond.2008. A laboratory comparison of two methods used to estimate the isotopic composition of soil CO2 efflux at steady state. Rapid Communications in Mass Spectrometry 22(16): 2533-2538. Millard, P., A. J. Midwood, J. E. Hunt, D. Whitehead and T. W. Boutton.2008. Partitioning soil surface CO2 efflux into autotrophic and heterotrophic components, using natural gradients in soil delta C-13 in an undisturbed savannah soil. Soil Biology & Biochemistry 40(7): 1575-1582.