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.

Frozen shores of Waldo Lake

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.

Bathymetric map of Waldo 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  • Analysis of unpublished data collected by U.S. Forest Service 1999-2003: Mark Sytsma, Laura Johnson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).

flourescence fate

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 series

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.

bacterial counts
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.

scufa profiles sept

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

ppn light

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

el nino
PDO effects on climate and hydrology of the Waldo Lake

Summer Maximum temperature

temp ppn

  • 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

water balance

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.

temperature logger locations

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

icon to modeling group

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

model inputs

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?

  1. Model set-up
  2. Model calibration
  3. Model application in management context
  4. Impacts of Long-term trends in hydrology
  5. Evaluate what-if scenarios due to increased tourist usage of the lake
  6. Evaluate the impacts of forest fires on nutrient increases to the lake
  7. Model application in research context
  8. Algae modeled as discrete assemblages

Completed Documents

The following are documents currently available in Adobe pdf format:

  1. Waldo Lake - Long-term Monitoring field sampling Quality Assurance and Quality Control Project Plan (.pdf file size: 447 KB)
  2. Waldo Lake Research in 2003 (.pdf file size: 5.341 KB)
  3. Waldo Lake Bathymetric Map, completed in 2003 (.pdf file size: 5.341 KB)
  4. Diurnal Vertical Migration of Phytoplankton, Waldo Lake, Oregon. Thesis by Laura D. Johnson (.pdf file size: 1.73 MB)