Here are my article summaries for the two Oishi articles:
Estimating
components of forest evapotranspiration: A footprint approach for scaling sap
flux measurements: A. Christopher Oishi et al. 2008
This
article described the methods used to resale sap flux methods in order to
better match eddy covariance method measurements. This is important because, only after
understanding all the components of evapotranspiration can scientists begin to
hypothesize and analyze fluctuations in specific components of the
evapotranspiration. Components included
canopy interception, evaporation from soil, and transpiration from the
canopy. The equation for this is
. The sap flux sensors are the same thermal
dissipation probes as described in Granier 1987. Several trees of each species were outfitted
with the probes and thens called first to the tree level, and then to the stand
level. The tree level is determined by
the formula
.
is the volume of the effective sapwood,
is the distance from the center of the tree to
the centroid of the sap flux curve, and
is the integrated area beneath the fitted
curve for a single tree. This is further
scaled o the stand level by comparing allometric relationships (size vs. sap
flux) for the different trees. This was
the combined with LAI measurements to scale to the stand level.
There
is a general decreasing trend in sap flux as we move from the outer edge of the
xylem to the interior.This relationship is graphically displayed in Fig. 4 in
the article. The total amount of EVT
that is actually transpiration is 54%.
This means that there is a significant amount of EVT that is related to
either evaoporation from the soil or to the canopy interception. Finally, the conversion from mV to sap flux
can be quantified with the equation
, where
is the maximum temperature differential where
sap flux is zero.
The
article reviewed focused a great deal on how to accurately apply Granier’s
methods to the oak and pine trees found in the Duke Forest site.
Interannual
Invariability of Forest Evapotranspiration and Its Consequence to Water Flow
Downstream: A. Christopher Oishi et al. 2010
This
paper concerned itself with measuring the effect of drought conditions on
transpiration and total evapotranspiration.
Data was taken from the same 2008 study that was described in Oishi et
al. 2008. This study revealed surprising
results. Transpiration rates, when
integrated over a season or a year, actually did not significantly change over
their non-drought counterparts. That is
to say, yearly transpiration remained around the same during years of drought
and relative wetness. The theory for
these results is that the increased
in times of drought actually benefits
transpiration compared to the low
in times of wetness. So as a general trend, increasing Vapor
Pressure Deficit results in an increased transpiration rate.
It
appears that L. tulipifera showed the
greatest sensitivity to drought conditions in this study, which concurs with
earlier publications. L. styraciflua showed low levels of
sensitivity contrary to other studies. Carya is one of the most drought
resistant genera and reflected that in this study. Finally, Quercus
showed extreme sensitivity below a cutoff moisture level of 0.2m3m-3.
Transpiration
plays a significant role in the water budget, and this study shows that, at
least for a short period of time, drought does not significantly affect
transpiration. The article notes that
over a period of extended drought, however, transpiration rates would certainly
fall.
I also reviewed another article:
Environmental
controls on sap flow in a northern hardwood forest: Bovard, B. D. et al. 2005
The
article describes how researchers empirically determined which of three factors
affected sap flow in four different species of trees in Northern Michigan. The three factors evaluated were
photosynthetically active radiation (PAR), vapor pressure deficit (D), and soil
water. PAR is essentially a measure of
the amount wavelength that a tree can use to photosynthesize, and has units
. The higher the value of PAR, the more light
in these wavelengths is available to the tree. D describes the difference
between the amount of water in the air and the maximum amount of moisture that
the air can hold, and has units
. Soil water content is simply a measure of the
saturation of soil, and is measured in percent.
The researchers monitored four species of trees within a certain radius
of a measuring tower over two periods of drought, and looked for relationships
between PAR, D, soil water, drought, and sap flux. The researchers concluded that, day by day,
soil water content only affected the sap flow rate if D was over a certain
value (
).
The
stand of trees was monitored for 61 days in 1999. PAR was measured with a quantum sensor, air
temperature with a shaded, ventilated thermocouple, water vapor partial
pressure with an infrared gas analyzer, and precipitation with a tipping bucked
rain gauge. Wind speed and direction
were measured, along with water vapor levels.
All data was taken in 30s means and put together.
Researchers
calculated aerodynamic conductance and then installed continuously heated
thermocouples into the tree.
Continuously heated thermocouples are fundamentally different than
heat-pulse thermocouples because the heat operates continuously and the reference
thermocouple monitors differences in heat continuously. The probes were inserted into the north side
of the four species. Measurements from
the probe were extrapolated to the entire tree by finding the area of sapwood
depth. This was done by staining a tree
core with 2% tetrazolium trimethyl-chloride, which stains the sapwood red.
There
was a significant difference in sap flow between species in the
experiment. There was an overall
positive linear correlation between PAR and sap flow, along with D and sap
flow. However, there seemed to be little
to no correlation between soil water concentration and sap flow in any
species. Soil water concentration seemed
to only significantly affect sap flow when D was greater than 1. The dominant controllers of sap flow at the
individual level were the same as those at the ecosystem level. The researchers determined that their
calculations of sap flow for the entire stand were chronically undervalued. They hypothesized that error in procedure
could have resulted in a lower cross section area than was actually
present.
In
conclusion, climate change that affects PAR, D, and soil water concentration
will affect the ecosystem water use and the hydrologic cycle. However, PAR and D are the two dominating factors. As early successional species in the Northern
Michigan stand are replaced with later succession species, the patterns of
water use will also change.
Overall, I think that this was a successful day for research. Not only did I read the three articles reviewed above, I looked over the phenology website and the Duke FACE site website. These may all be places to look in once I begin getting data. Tomorrow I'll be at Duke pretty much all day.
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