4.0 Study Design and Sampling Protocol
A well-designed sampling protocol is of strategic importance to the success of this research. The protocol outlined below is designed specifically to capture the spatial and temporal variability of primary productivity in Lake Tahoe, allowing us to directly investigate the patterns of localized eutrophication that have been previously observed.
Sampling Locations
To address the documented spatial variability, a sampling design incorporating fixed index stations and spatial transects will be implemented.
- Open-Water Index Station: One primary, mid-lake index station will serve as a control, representing the baseline oligotrophic condition of the main lake body. This station will be sampled at multiple depths through the euphotic zone (e.g., surface, 20m, 40m, 60m, 80m, 100m) to capture the vertical productivity profile.
- Near-Shore Transects: Multiple transects will be established extending from the mouths of streams draining disturbed watersheds out into the lake. Sampling along these transects will quantify the nutrient plume’s impact on productivity as it dilutes into the main lake body.
- High-Use Bay Monitoring: Dedicated index stations will be established within Crystal Bay and at the southern end of the lake. These locations, previously identified as having anomalous productivity periods, will be sampled with higher temporal frequency (e.g., bi-weekly during the summer growing season) to investigate the dynamics of localized algal blooms.
Data Integration and Analysis
The true power of this research design lies in the synthesis of the different data streams. Data from each method will be integrated to create a cohesive and multi-dimensional picture of the lake’s ecosystem function. For example, the broad spatial data from chlorophyll a measurements will be used to map phytoplankton biomass across the lake. The highly sensitive ¹⁴C data will then provide the precise rates of carbon fixation within these mapped areas, allowing us to quantify productivity in both high-biomass “hotspots” and low-biomass open-water zones. Finally, the light and dark bottle oxygen data will add the crucial dimension of community respiration, providing insight into the metabolic balance of these different zones.
This integrated approach will allow for a robust assessment of how nutrient inputs are altering the lake’s fundamental ecological processes. The expected outcomes from this analysis will provide significant new insights for the preservation of Lake Tahoe.