The Sacramento-San Joaquin Delta (Delta) is experiencing an increase in the frequency and severity of Cyanobacterial Harmful Algal Blooms (CHABs), which can produce harmful cyanotoxins. This issue is likely to intensify due to climate changes and rising temperatures. The most common CHAB genus in the Delta is Microcystis. Currently, the most extensive dataset for tracking Delta CHABs is the Microcystis Visual Index (MVI), a qualitative assessment of Microcystis colony densities observed in surface water. This index, recorded by natural agency staff across numerous monitoring stations, provides broad spatial coverage but is inherently subjective and not quantitative, thereby limiting its utility.
This project has the following objectives: 1. Develop an MVI image classification model and model algorithm that can identify and quantify Microcystis aggregate presence and coverage level in digital photos. 2. Translate MVI rankings to Microcystis biomass ranges by obtaining data to ground-truth a range of Microcystis biomass that corresponds with MVI rankings 2 through 5. 3. Explore relationship between proportion of toxic Microcystis cells and Microcystis biomass levels by relating each MVI scale (for ranks 2 through 5) and Microcystis biomass range to a) proportion of toxic Microcystis cells (i.e. ratio of mcyE and 16S rDNA genes) and b) microcystin concentration, in surface grab samples.
Invasive aquatic vegetation (IAV) is a threat to aquatic ecosystems worldwide, leading to a major loss of biodiversity and extensive damages and costs to human uses of those ecosystems. The Sacramento-San Joaquin River Delta (the “Delta”) is the hub of California’s water system, supporting over 35 million water users and a $54 billion agricultural industry. The Delta reform act mandates management decisions meet both water supply needs while maintaining the ecological function of the system. The Delta is a global biodiversity hotspot, and the focal point of $750-$950 million in restoration. It has also been called one of the most invaded estuaries in the world. Over the past 15 years, submerged and floating IAV have more than doubled in extent, threatening water supply and ecosystem health of the Delta. There is mounting evidence that herbicide treatments are not effective, and that water management actions, and wetland restoration may be having huge impacts on IAV. This presents both a risk to increasing IAV, but also an opportunity to prevent and even effectively combat IAV through considered water management actions and better restoration planning, meeting the state’s co-equal goals of water security and Delta ecosystem conservation.
This project will meet the needs of multiple state agencies by advancing operational Earth observation-based monitoring program for community-level submerged aquatic vegetation (SAV) and genus-level floating aquatic vegetation (FAV) and modeling tools to enable the Delta management community to assess the effect of previous management actions on IAV and forecast the effects of future actions to inform multi-agency decision making. Specifically, this work will 1) Operationalize IAV class mapping using Sentinel-2 satellite imagery, 2) Finalize and validate species distribution Models (SDM) for SAV community and FAV at genus-level to assess the impacts of previous water actions on IAV and predict IAV distribution in future scenarios, 3) Co-design IAV-based performance metrics to inform future actions.
The proposed project fills a critical data gap in monitoring for state and federal agencies and stakeholders by implementing the first sustainable mapping effort for IAV. Monthly and seasonal estimates of SAV and FAV coverage will enable the Delta Stewardship Council to improve their performance metrics for evaluation of the Delta Plan and will help the Interagency Ecological Program assess whether management is meeting the co-equal goals for the Delta. Species distribution models will enable Department of Water Resources to evaluate how previous restoration flow actions have affected the spread and persistence of IAV and incorporate what they learn into future Structured Decision Making to better account for negative consequences of IAV when setting future restoration targets and implementing actions.
High-frequency monitoring for hydrodynamic (stage, velocity, flow), water quality (including chlorophyll, nutrients), sediment, and phytoplankton at key locations in the Delta. The physical properties monitored by the fixed-station network are the primary drivers of the habitat conditions and biological responses that management actions are designed for. Combined, these data establish the spatially and temporally rich data set needed for real-time operation of water export facilities, understanding Delta ecosystem responses to hydrological conditions, and evaluating restoration actions.
