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Shoestring2014 9-sapflow
1.
2. Background
• Hubbard Brook whole-watershed transpiration
response to wollastonite (CaSiO3) addition:
mechanisms unclear (Green et al. 2013)
• MELNHE wollastonite plots established in 2011
with aim to clarify
• Measuring sap flow is one method to estimate
transpiration (Granier, 1987)
3. Background
• Preliminary sap flow measurements from HB Ca suggest
increased transpiration in wollastonite treatment (Zahor
et al. 2013)
4. Research Question
• Does a wollastonite addition increase tree
transpiration?
• Expect that it does, possibly due to increased
xylem and fine root growth
• Alternatively, sap flow measurements could
reflect the transition to decreased transpiration
observed in W1 (Green et al. 2013)
5. Methods
• Sap flow measured by the Granier method: reference probe 10 cm
below thermocouple heating probe with constant source of heat,
measures temperature difference (ΔT) (Granier, 1987)
• Measurements collected by data logger every 30 seconds, average
recorded every 15 minutes
• ΔT is converted to sapflux (Js, g x m2 x s-1) using BaseLiner
software (Oren and Parashkevov, 2012)
(Max Planck Institute for Biogeochemistry)
6. Methods
• Sap flow to be measured in
wollastonite and control
plots at mature stands in
Bartlett Experimental Forest
(C8), Hubbard Brook
Experimental Forest (Ca)
and Jeffers Brook
• 9 canopy trees measured
per plot: 3 American beech,
3 sugar maple and 3 yellow
birch
• Measurements collected for
~5 days per stand
7. Results
25
20
15
10
5
0
Bartlett C8
171.5 172 172.5 173 173.5 174 174.5 175 175.5 176 176.5 177
Sapflux (Js, g x m2 x s-1)
Ordinal Date and Time
C8 Control AB
C8 Control SM
C8 Control YB
C8 Ca AB
C8 Ca SM
C8 Ca YB
8. Results
14
12
10
8
6
4
2
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM 12:00 AM 4:48 AM
Sapflux (Js, g x m2 x s-1)
C8 Yellow Birch 1 (CaSiO3)
YB1
• Example of a representative diurnal curve
9. CaSiO3
Control
• Within species, more
variation across trees
than across
treatments
25
20
15
10
5
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM12:00 AM 4:48 AM
Sapflux (Js, g x m2 x s-1)
C8 American Beech
AB1
AB4
AB5
AB6
18
16
14
12
10
8
6
4
2
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM 12:00 AM4:48 AM
Sapflux (Js, g x m2 x s-1)
C8 Sugar Maple
SM1
SM3
SM4
SM5
SM6
16
14
12
10
8
6
4
2
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM 12:00 AM 4:48 AM
Sapflux (Js, g x m2 x s-1)
C8 Yellow Birch
YB1
YB2
YB3
YB4
YB5
YB6
10. 60
50
40
30
20
10
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM 12:00 AM4:48 AM
Sapflux (Js, g x m2 x s-1)
HB Sugar Maple
SM2
SM3
SM4
SM5
SM6
25
20
15
10
5
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM12:00 AM 4:48 AM
Sapflux (Js, g x m2 x s-1)
HB American Beech
AB1
AB3
AB4
AB5
AB6
25
20
15
10
5
0
12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM 12:00 AM 4:48 AM
Sapflux (Js, g x m2 x s-1)
HB Yellow Birch
YB1
YB3
YB5
YB6
CaSiO3
Control
• Within species, more
variation across trees
than across
treatments
11. Conclusion
• No apparent trends in sapflux between
treatments, individual trees highly
variable
• Solid dataset to work with that will help
direct future sap flow efforts
12. Future Work
• Reevaluate methods: increase sample
size and consider additional factors in
analysis
• Take sap flow measurements from Jeffers
Brook, then return to Bartlett C8 and
Hubbard Brook for the remainder of the
field season
• Develop a statistical model to determine
significance
13. References & Acknowledgements
• Granier, A. (1987). Evaluation of transpiration in a Douglas-fir stand by means of
sap flow measurements. Tree Physiology 3: 309-320.
• Green, M.B., et al. (2013). Decreased water flowing from a forest amended with
calcium silicate. Proceedings of the National Academy of Sciences
110(15):5999-6003.
• Oren, Parashkevov, & Duke University. (2012). BaseLiner (Version 2.4.2)
http://ch2oecology.env.duke.edu/orenlab/sofware.html
• Michele Pruyn
• Mariann Johnston
• Mark Green
• Ruth Yanai
• Adam Wild, our glorious leader
• Shoestring Crew
Notas do Editor
Picture
Explain red and blue
Picture. Green et al graph, wondering about mechanisms, if we’re at the transition stage
Citation of picture!
Add Jeffers, plan for rest of the summer.
Blue lower than red
Darker and thicker lines . More variation between trees than between treatments. Put all six on one? Let them stare at it while I say: it’s good that we have this continuous data, but now we need to thinking about how to change the methods , if anyone has any ideas for covariates that we should use in analysis
Darker and thicker lines . More variation between trees than between treatments. Put all six on one? Let them stare at it while I say: it’s good that we have this continuous data, but now we need to thinking about how to change the methods , if anyone has any ideas for covariants that we should use in analysis
Bring back to Green et al paper, transition, the things Mark talked about
Normalize by DBH as covariant? Yes, and maybe crown measurements? Maybe focus on only one dominant species in each plot and increase sample size.