Waldo Lake Limnology
Contact Information
Mark Sytsma
sytsmam@pdx.edu
Center for Lakes and Reservoirs
PO Box 751
Portland OR 97207-0751
Ph:503-725-3833
Fax: 503-725-3834
Introduction
Waldo Lake is one of the most pristine lakes in the United States.
It is extraordinarily clear and light penetrates deep into the water
column, giving Waldo Lake an exceptional blue color. The watershed
is very small; therefore, the nutrient input into the lake is very
low, keeping primary productivity low and thus maintaining clear water
conditions. The dilute waters of Waldo Lake support a unique and potentially
fragile ecosystem.

Human activity in and around the lake was cited as a potential cause
of changes described by authors in the 2000 Lake
and Reservoir Management issue. The volunteer collected data provided a basis for evaluating
the condition of Waldo Lake, however, because sampling was contingent
on individual resources and time it was somewhat haphazard. For the
most part, the sampling was conducted as a monitoring program, with
post hoc development of hypotheses. The publication of a 1995 report
on Waldo Lake (Larson and Salinas), and the 2000 Lake
and Reservoir Management issue focused attention on U.S. Forest Service management
of Waldo Lake and stimulated funding of more in-depth study.
In 2003, funded by the U.S. Forest Service, the Center for Lakes
and Reservoirs at Portland State University began a research effort
to develop a more complete understanding of the physical, chemical,
and biological characteristics that drive the ecological processes
of Waldo Lake. Modern limnology recognizes the importance of watershed
processes as well as in-lake processes in lake ecosystem functioning.
Therefore, the approach included consideration of watershed hydrology
and forcing functions that determine hydrodynamics of the system as
well physical and chemical factors that may be important in regulating
primary production in the lake.

Tasks
- Analysis of unpublished data collected by U.S. Forest Service
1999-2003: Mark Sytsma, Laura Johnson
- Development of a Quality Assurance/Quality
Control Plan for future long-term monitoring activities funded by
the U.S. Forest Service: Mark Sytsma, Laura Johnson
- Evaluation of
photoinhibition of phytoplankton under varying light conditions:
John Rueter
- Characterize feeding activity of mixotrophic dinoflagelletes:
John Rueter, Amanda Murphy
- Evaluate the diurnal vertical migration
of phytoplankton and zooplankton: Mark Sytsma, Laura Johnson, Rich
Miller
- Evaluate methods for assessing phytoplankton primary productivity
including possible sources of error, affects of changes in light
intensity, and size fractionation of cells: Richard Petersen
- Develop
a hydrodynamic and climate model including short and long term climate
variability due to long term, large scale climate variations: Roy
Koch
- Produce an accurate bathymetric map utilizing sonar and GPS
technology: Mark Sytsma, Rich Miller
- Monitor thermal mixing events
on a daily, seasonal and yearly scale: Mark Sytsma, Laura Johnson
- Develop
a map of benthic bottom type, focusing on deep-water bryophytes
and stromatolites: Mark Sytsma, Rich Miller
- Development of a hydrodynamic
and water quality model: Scott Wells, Rob Annear
- Characterize light
attenuation using a full spectrum Licor scanning spectroradiometer:
Mark Sytsma
- Multivariate statistical analysis of changes in phytoplankton
and zooplankton populations: Mark Sytsma, Yangdong Pan, Laura Johnson
- Continue
phytobenthic research of four major community types: bryophyte communities,
UV-protected cyanobacterial mats, living stromatolite communities
and a “diatom
floc” community: Michelle Wood, University of Oregon
Project Member Contact Information
Sytsma, Mark, sytsmam@pdx.edu, 503-725-3833
Koch, Roy, kochr@pdx.edu, 503-725-8038
Rueter, John, rueterj@pdx.edu, 503-725-3194 <>
Petersen, Richard, petersenr@pdx.edu, 503-725-4241
Wells, Scott, scott@cecs.pdx.edu, 503-725-4276 <>
Wood, Michelle, miche@darkwing.uoregon.edu, 541-346-0454
Pan, Yangdong, bwyp@pdx.edu, 503-725-4981
Johnson, Laura, ljohnso@pdx.edu, 503-725-9076
Annear, Rob, annearr@pdx.edu, 503-725-3048
Miller, Rich, richm@pdx.edu, 503-725-9075
Amanda Murphy, losmurphys@netzero.net, 503-725-3194
Phytoplankton photoinhibition of photosynthesis
The purpose of this portion of the work was to look for possible
sources of variability in primary productivity. We hypothesized that
exposure to high light, and in particular UV light, could cause photo-inhibition
over the day. This could be even more important at Waldo Lake because
of its high altitude and exceptional clarity. We examined the variation
in photosynthetic efficiency throughout the day and between days with
different weather. It was hypothesized that calm and clear days would
have a higher photoinhibition of surface productivity than windy and
cloudy days.
Photosynthetic efficiency was measured using Pulse Amplitude Modulate
(PAM) Fluorometery. PAM Fluorometery measures the minimum and maximum
fluorescence of a sample containing algae, before and after a saturating
pulse of light. The light energy that is absorbed by an alga has three
fates (figure below); 1) the energy can be utilized in photosynthesis,
2) it can be given off as heat or 3) it can be re-emitted as longer
wave light (fluorescence).

After cells have been kept in the dark for about 5 minutes, all
of the photosynthetic electron transport chain carriers are oxidized,
and the light processed with a characteristic efficiency and low fluorescence.
After that same cell is exposed to a flash of saturating light, all
the electron transport chain carriers are reduced, and a large fraction
of any subsequent pulse of usable light is given off as fluorescence.
The difference between the pre-pulse fluorescence (F0) and post-pulse
fluorescence (FM) is the variable fluorescence (Fv). Fv/Fm has been
shown to be a reliable proxy measurement for the photosynthetic efficiency
of algae under many conditions. The PAM fluorometer was used to take
rapid measurements of Fv/Fm over a time course.
The Fv/Fm decreases in the morning and recovers in the afternoon on a clear
day. This indicates that algae at the surface could be experiencing photoinhibition
starting first thing in the morning. This overlaps with the time period that
we use for our standard four-hour 14C productivity measurements.

Time course of photosynthetic efficiency of surface water samples
collected over the day as measured by Fv/Fm. Duplicate samples were
taken at each time point. Each sample was subsampled twice and at
least five readings taken on each subsample. The figure above shows
the mean of the twenty readings at each time. The bars indicate two
standard deviations.
Feeding behavior of mixotrophic dinoflagelletes
The phytoplankton community of Waldo Lake is distinct due to low
diversity, with the dinoflagellate Glenodinium neglectum comprising
more than 75% of the total population. Studies of other lakes have
shown mixotrophs, such as G. neglectum migrate vertically over a 24-hour
period, moving to the surface to photosynthesize during the day, and
feeding on bacteria at lower depths at night. During the summer of
2004, both mixotrophs and bacteria were collected and enumerated to
investigate both the vertical migration of mixotrophs and the interaction
between mixotrophs and bacteria.
Water samples were collected at 7 depths over a 24-hour period and
divided into 2 parts: 200-mL phytoplankton and 5-mL bacteria samples.
Phytoplankton samples were filtered onto 0.45-µm filters, mounted
on slides, and species of mixotrophs were counted. Bacteria samples
were filtered onto black 0.2-µm filters, stained with DAPI,
and bacteria were enumerated using epifluorescence microscopy.

A representative sample of varying bacterial counts with depth.
Diurnal vertical migration of plankton
During the summer of 2004 the daily vertical migration of phytoplankton
and zooplankton was studied. Typically, mobile plankton vertically
migrate to an optimal depth in the water column in response to changes
in light intensity and available food supply. In Waldo Lake, high
elevation and remarkable lake clarity leads to the penetration of
UV-light deep into the water column. High UV-light intensity in the
upper portion of the water column can be very stressful to organisms.
Response to UV radiation is one proposed cause of vertical migration
at Waldo Lake.
To track zooplankton migration, bioacoustics were used in tandem
with a traditional Schindler trap. An underwater fluorometer (SCUFA)
was used as a semi-quantitative tool to assess chlorophyll-a concentrations
in the water column. Standard chlorophyll filtration methods and phytoplankton
collection were also used to quantify chlorophyll concentration and
phytoplankton species present.

Phytoplankton primary production
A review of prior data collected by the U.S. Forest Service’s
long-term monitoring efforts of Waldo Lake suggests measurement of
14-C fixation will require special care in Waldo Lake.
Toxicitiy issues:
- Sample collection in the past has employed van Dorn type water
samplers, with possible toxicity effects.
- High water transparency
may expose cells to significant UV radiation
Water chemistry issues:
- Unusually dilute nature of lake water makes determination of
pH and alkalinity problematic.
- Small errors in pH measurement produce
larger errors in estimates of inorganic carbon

Hydrology and global climate change
Objectives
- Evaluate temporal and spatial variation in climate and hydrologic
data
- Perform a preliminary water balance to determine the distribution
of water in the hydrologic cycle of the watershed
Variation with El Niño- Southern Oscillation (ENSO)
- Inter-annual variation in the precipitation and streamflow
is related to ENSO- but only during the cool phase of the PDO cycle
- During El Niño events (negative SOI) the flow and precipitation are
lower
- During La Niña events, the flow and precipitation are higher
- No significant
relationship between ENSO and temperature

PDO effects on climate and hydrology of the Waldo Lake
Summer Maximum temperature

- Decadal scale persistence in North Pacific Sea Surface temperatures
is apparent in Waldo Lake local climate
- During cool PDO periods,
typically higher precipitation and streamflow and higher summer
maximum temperatures
- Previous sampling at Waldo Lake was in both
regimes – early sample
is cool period and late sampling in warm period
Water balance for Waldo Lake
- The outflow from the lake is a small fraction of the total
precipitation – averaging
19%
- The lake outflow averages less than 50% of the direct precipitation
on the lake
- A significant fraction of the precipitation leaves
the basin as evaporation, evapotranspiration and groundwater flow

Thermal mixing events
In July 2003, forty temperature loggers were placed in eight depths
at five locations in the lake (locations shown below). These will
record data at one-hour intervals all winter and thirty-minute intervals
all summer, recorded data will be downloaded twice a year. Additionally,
air temperature, rainfall wind speed and direction data have been
collected by a USFS weather station at the lake. Temperature data
will be used in determining thermal stability, seasonal and daily
mixing patterns and in the development of a hydrodynamic model. Additionally,
monitoring lake mixing events is important in understanding the vertical
distribution of phytoplankton in the water column.

Benthic Mapping
Data collected in 2003 will be reanalyzed with Biosonics Inc.’s
Bottom Typing software to produce a map of substrate types. The benthos
of Waldo Lake is interesting and unique in that there are large communities
of stromatolites occupying waters 5 to 40-m deep and underwater bryophytes
in deeps greater than 50-m. By collecting sediment samples using a
gravity corer and an Eckman dredge in the fall of 2004, we will be
able to ground-truth software inferences from the data collected during
the summer of 2003.
Water quality and hydrodynamic modeling

CE-QUAL-W2 Model
http://www.ce.pdx.edu/w2/?projects_waldo_lake.html
Portland State University, Water Quality Research Group is the center
of the development of this multi-dimensional water quality and hydrodynamic
model
Why is Modeling Necessary?
- Data organization and analysis – what data do you need
to answer the question?
- Model can be used to assist in understanding
lake hydrodynamic and water quality processes
- Model can be used
to assist in reducing model uncertainty
- Model can be used to evaluate
impacts of management strategies
Ecosystem Model’s Relationship to Project Elements

What is the Model?
The model incorporates data to create a mathematical
representation of the Waldo Lake Ecosystem.
DATA UTILIZED:
- Hydrologic Forcing Processes:
- Rainfall/snowfall/runoff/subsurface hydrology
- Meteorological Forcing Processes:
- Temperature/solar radiation/cloud cover/wind/air
and dew point
- Physical system data:
- Bathymetry
- In-situ physical
data:
- temperature,
light transparency
- In-situ biological process data:
- algae-periphyton-nutrient-light hydrodynamic interaction
What Management Questions Can Be Answered?
Typical Management questions:
- What will be the response to the lake of increased lake utilization?
- How
can weather conditions and different lake water level management
affect lake productivity?
- How can changes in boundary conditions
to Waldo Lake impact water quality conditions, specifically transparency
and productivity?
Model predictive ability:
- water surface elevation
- velocity regime
- temperature dynamics
- nutrient-algae-periphyton dynamics (unique
feature of modeling algae as distinct assemblages rather than
traditional approach of control volume approach)
What is the model development process?
- Model set-up
- Model calibration
- Model application in management context
- Impacts of Long-term trends
in hydrology
- Evaluate what-if scenarios due to increased tourist
usage of the lake
- Evaluate the impacts of forest fires on nutrient
increases to the lake
- Model application in research context
- Algae modeled as discrete
assemblages
Completed Documents
The following are documents currently available in Adobe pdf format:
- Waldo Lake - Long-term Monitoring
field sampling Quality Assurance and Quality Control Project
Plan (.pdf file size: 447
KB)
- Waldo Lake Research in 2003 (.pdf file size: 5.341 KB)
- Waldo Lake Bathymetric Map, completed
in 2003 (.pdf file
size: 5.341 KB)
- Diurnal Vertical Migration of Phytoplankton, Waldo Lake, Oregon. Thesis by Laura D. Johnson (.pdf file
size: 1.73 MB)
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