Tools for Tracking Healthy Watersheds

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Presentation transcript:

Tools for Tracking Healthy Watersheds Central Coast Regional Water Quality Control Board Tools for Tracking Healthy Watersheds Karen Worcester, Staff Environmental Scientist Larry Harlan, Environmental Scientist David Paradies, Software Designer

Healthy Watersheds Goal 1: By 2025 80% of aquatic habitat is healthy; and the remaining 20% exhibits positive trends in key parameters Goal 2: By 2025 80% of lands within any watershed will be managed to maintain proper watershed functions, and the remaining 20% will exhibit positive trends in key watershed parameters Goal 3: By 2025 80% of groundwater will be clean, and the remaining 20% will exhibit positive trends in key parameters

Defining “Healthy” Biological measures Health Index Chemical measures Physical measures

Measures of Aquatic Health in Riparian Systems: An Example Chemical index Chemical measurements Chemical risk Physical index Watershed characteristics Geomorphology Channel alteration Biological index Bioassessment Toxicity Biostimulatory risk Pathogens Riparian characteristics

Biological index Bioassessment Ephemeroptera Taxa Plecoptera Taxa Tricoptera Taxa % Predators Taxa Diversity % Tolerant Species Intolerant Individual Count % Dominant Species Bioassessment Toxicity Biostimulatory risk Pathogens Riparian characteristics

Index of Biotic Integrity: A multimetric approach Community balance Trophic structure Taxa diversity Pollution tolerance

Gazos Creek, 5/5/01

IBI for Region CCAMP IBI Scores

Biological index Toxicity Ceriodaphnia survival Ceriodaphnia reproduction Pimephales survival Pimephales growth Selenastrum growth Hyalella survival Hyalella growth Bioassessment Toxicity Biostimulatory risk Pathogens Riparian characteristics

Index of Biotic Integrity and Toxicity Worst sites Best sites

Biological index Biostimulatory risk Oxygen Saturation (departure from median) pH (departure from median) Nutrient concentrations Algae (percent cover) Chloropyll a Benthic algae Maximum Potential Biomass Bioassessment Toxicity Biostimulatory risk Pathogens Riparian characteristics

Gazos Creek Biostimulatory Risk = 0.47

Franklin Creek (Rank = 85.3) Limekiln Creek (Rank = 0.0) Franklin Creek (Rank = 85.3)

Biostimulatory Risk Scores (shown as quartiles)

Biological index Pathogens Bioassessment Toxicity Biostimulatory risk Riparian characteristics Escherichia coli Enterococcus Coliform, Fecal Coliform, Total Fecal to Total Coliform Ratio

Biological index Riparian condition Bioassessment Toxicity Biostimulatory risk Pathogens Riparian condition Width of corridor Land activities within buffered area Number of patches Species composition Canopy height, etc.

Combining multiple metrics into a single score expressing biological health Toxicity Riparian Health Biological Health Bioassessment Pathogen Indicators Biostimulation

Different scales of data Sites Reaches Watershed This will enable us New USGS data tools will help us attach sites to reaches to watersheds

Riparian Buffering

Reach-scaled data: Riparian delineation

Santa Maria Watershed: An Example of Watershed-scaled data

National Agricultural Inventory Project (1 m aerial imagery)

National Land Cover Database (1992)

Forest Canopy

Impervious Surfaces

Agricultural Areas (and monitoring sites)

Mean Nitrate levels in DHS wells

Pesticide Diversity

Chlorpyrifos applications and Toxicity

Number of New Management Practices Planned in Next 3 Years 1 – 25 practices

N and P crop requirements are known

Nutrient Budget used to determine application rates

What we need to do next Develop a work plan Determine imaging requirements for riparian delineations and impervious surface calculations Secure funding and contract out imaging analysis if needed Potentially redirect staff work to external sources as needed to free up staff time Evaluate staff work to determine what additional tracking activities are needed to support this effort

CCAMP IBI vs Biostimulatory Risk Index

Spot Satellite (5 m)