bioobjectives scoring tool: california stream condition...
TRANSCRIPT
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Bioobjectives Scoring Tool:California Stream Condition Index (CSCI)
Eric Stein
Ken Schiff
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2photo courtesy John Sandberg
Biological indicators are the best way to assess biological integrity
Challenge is to use them consistently
across the state
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• Establishing Reference Conditions• Developing the CSCI Scoring Tool• Stressor Identification
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Fundamentals of “Reference”
Reference condition is the foundation of bio-objectives
objective basis for setting biological expectations
provides and “anchor” for bioassessment scoring tool
Use natural condition (or something close to it) as the desired state whenever possible
◦ NOT defined based on biology, but landscape setting
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Stream Sites with Low Levels of Human Activity
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Defining Reference
Tension of twin goals
A. Need sufficient numbers of sites to characterize reference across the full range of natural stream settings in California.
B. Stringent enough to ensure only high quality sites are included
1. Identify candidate sites
2. Compile landscape-scale data on a wide range of stressors
3. Examine the distribution of stressors across the state
4. Set preliminary thresholds based on literature values and BPJ
5. Refine thresholds using statistical analysis
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Many Candidate Sites, Many Variables Tested
Approximately 1,700 sites◦ 800 probabilistic
◦ 900 targeted
20 different programs◦ 8 probabilistic
◦ 12 targeted
Statewide coverage
More than 170 variables◦ Landscape scale measures of
disturbance
Multiple scales ◦ Watershed
◦ Reach
◦ 5 km
◦ 1 km
Statewide coverage
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VariableLocal Scale
Local Threshold(1k/ 5k)
Watershed Threshold (ws)
% Agricultural or Urban 1k/5k 3 % 3 %
% Agricultural and Urban 1k/5k 5 % -
% Code 21 (urban grasses) 1k/5k 7 % 10 %
Road Density 1k/5k 2 km/km² 2 km/km²
Road Crossings 1k/5k 5/10 per km 20 per km
Dam Distance - 1 km
% Canals/Pipes - 10%
Instream Gravel Mines 5k 0.1/ km
Producer Mines 5k 1
Conductivity - 99/1 *
W1_Hall (riparian veg) - 1.5
Reference Thresholds Stressors and Thresholds
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Threshold Evaluation
TENSION: need to represent full range of stream types vs. not relaxing thresholds to include “non-reference streams”
1. Sensitivity: How many sites do you get when you adjust thresholds?
2. Responsiveness: Have we limited the biological response to stressors within the reference data set?
3. Representativeness: Have we captured important natural gradients within the reference data set?
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% development
Are Thresholds Appropriate?
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Threshold Sensitivity
Perc
ent
po
ssib
le r
efer
ence
sit
es
Road density km/km2
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Responsiveness of the Full Range of Reference
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Res
idu
al M
etri
c V
alu
e
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Broad Geographic Coverage
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Reference Representation in Challenging Areas
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Reference Site Count and % by PSA Region Statewide Distribution of Reference
REGION n % of region
North Coast 79 28
Central Valley 1 2
Coastal Chaparral 87 18
Interior Chaparral 30 33
South Coast Mountains 96 68
South Coast Xeric 22 2
Western Sierra 131 50
Central Lahontan 142 74
Deserts + Modoc 27 56
TOTAL 615 -
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Reference Conclusions
Established a robust reference network that can be used to set biological expectations statewide
Majority of the state has good representation by reference network
Reference network must be an ongoing effort
Some problematic areas remain◦ Areas of relatively poor representation, e.g. Central Valley
◦ Areas that are represented, but could use additional sites, e.g. low gradient S. CA
◦ Other water body types (e.g. non-perennial streams)
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Options for “Problematic” Areas
Targeted investigations to try and find additional reference sites
Redefine reference for problematic areas◦ Variable definitions of reference
Address through adjustments to the scoring tool
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• Establishing Reference Conditions• Developing the CSCI Scoring Tool• Stressor Identification
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Why Do We Need A New Tool?
Different scoring approaches for different regions
Some parts of the State lack any scoring tools
Inconsistent definition of reference
.
A new statewide index is needed
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The California Stream Condition Index (CSCI)
Much better reference data set◦ Bigger, broader, and more rigorously screened
◦ Nearly double sites in S. CA compared to the IBI
Consistent meaning statewide, without regionalization◦ A specific score means the same thing in all areas
◦ Nearly all perennial wadeable streams can be assessed
Site-specific expectations means that your site is held to appropriate standards◦ Each site is assessed relative to community that should be there based on site’s physical
properties
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Elements of the CSCI
Taxonomic completeness (O/E)◦ Is a measure of species loss
◦ Compares taxa found at similar reference sites
Ecological structure (MMI)◦ Comprised of several metrics that represent community structure
◦ Compares metric values observed at similar reference sites.
Multiple elements provide complementary information about biological health
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The CSCI Uses a Predictive Approach
The CSCI creates site-specific expectations for each site based on taxa found at groups of similar reference sites
Groups of reference sites are defined by natural gradients◦ Have a major effect on the invertebrate community
◦ Largely unaffected by human activity
• Latitude
• Elevation
• Precipitation
• Temperature
• Watershed area
Expected invertebrate community under unaltered
conditions
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Scoring Relative to Site-specific Expecations
Develop expected taxa list based on reference sites located in similar environmental settings Expected
Collect Taxa at site being evaluated Observed
Compare Observed vs. Expected taxa list
If O/E is ~1.0, biological integrity is intact
If O/E << 1.0, biological integrity is altered
species and metrics measured at test site = Observed
species and metrics predicted at site = Expected
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Two Elements of CSCI
TaxonMayfly species 1
Mayfly species 2Mayfly species 3Beetle species 1Beetle species 2Midge genus 1Midge species 1Midge species 2Midge genus 2Dragonfly species 1Stonefly species 1Stonefly species 2Worm species 1Worm species 2
% mayfly, stonefly, caddisflyCount4312
211
653
10321
1492
% beetle taxa
Total number of taxa
% clinger taxa
# shredder taxa
% sensitive individuals
List of all taxa
Completeness Ecological structure
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Calculating the CSCI
CSCI ranges from 0 – 1
Mean of reference sites = 1.01 ± 0.12 sd
1.0.75.50.25 1.25
CSCI scores at reference sites
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CSCI is responsive to stress
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CSCI is consistent in all regions CSCI scores at reference sites in major CA ecoregions
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CSCI is consistent over time
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CSCI scores at reference sites 2000 - 2011
CSC
I Sco
res
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Sample Application of CSCI
Saxon Creek:Tahoe BasinUrbanized
CSCI = 0.63
Sweetwater:Socal XericOpen
CSCI = 1.09
Saxon
Sweetwater
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Reference Sites Based on Setting
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Taxonomic completeness
Observed
Acari
Baetis
Chironominae
Orthocladiinae
Simulium
Oligochaeta
Tanypodinae
Observed
Acari
Chironominae
Cinygmula
Lepidostoma
Micrasema
Orthocladiinae
Paraleptophlebia
Simulium
Sweltsa
Bezzia
Oligochaeta
Tanypodinae
Zapada
Sweetwater Saxon
Far more taxa at Saxon Creek, but…
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Taxonomic completeness
Observed Missing
Acari Bezzia
Baetis
Chironominae
Orthocladiinae
Simulium
Oligochaeta
Tanypodinae
Observed Missing
Acari Baetis
Chironominae Drunella
Cinygmula Malenka
Lepidostoma Rhyacophila
Micrasema Turbellaria
Orthocladiinae Yoraperla
Paraleptophlebia Epeorus
Simulium
Sweltsa
Bezzia
Oligochaeta
Tanypodinae
Zapada
Sweetwater Saxon
Lots of taxa missing at Saxon creek
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Ecological structure
Most metrics “better” at Saxon Creek, but much further from expectations
% EPT Taxa
95% of expected 53% of expected
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Sample Application of CSCI
Saxon Creek:Tahoe BasinUrbanized
CSCI = 0.63
Sweetwater:Socal XericOpen
CSCI = 1.09
Saxon
Sweetwater
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0.85
1.0.75.50.25 1.25
CA Stream Condition Index Value
Setting Thresholds
very likely altered
0.72
1st % 10th%
likely altered
likelyintact
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Intact
Altered @ 10%
Altered @ 1%
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Intact
Altered @ 10%
Altered @ 1%
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What About Channelized Streams?
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Scoring Tool Conclusions and Future Efforts
State has a new scoring tool for use in implementing bio-objectives◦ Predictive approach allows sites to be judged against site-specific expectations
◦ Can be applied with a consistent interpretation statewide
Through policy development, additional issues need to be addressed:◦ Setting thresholds
◦ How to deal with special class streams
◦ Streams with few appropriate ref sites (e.g., Central Valley floor streams)
◦ Streams unlikely to achieve reference condition (e.g., permanently channelized streams)
Need to develop support tools to ease/automate calculation of CSCI
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• Establishing Reference Conditions• Developing the CSCI Scoring Tool• Stressor Identification
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Stressor Identification
What’s causing my site to be out of compliance?
US EPA has a framework developed for stressor identification
- www.epa.gov/CADDIS
- Not vetted in California
Our goal was to test CADDIS in four California case studies- Write an Evaluation and Guidance Manual
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CausalAssessmentDiagnosticDecisionInformationSystem
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The Five Steps
Define the case
List candidate causes
Evaluate data from the case
Evaluate data from outside the case
Identify probable causes- Refute causes
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The Five Steps
Define the case
List candidate causes
Evaluate data from the case
Evaluate data from outside the case
Identify probable causes- Refute causes
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San Diego RiverSanta Clara River
Salinas RiverGarcia River
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The Five Steps
Define the case
List candidate causes
Evaluate data from the case
Evaluate data from outside the case
Identify probable causes- Refute causes
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CUMULATIVE LIST OF CANDIDATE CAUSES
Flow alteration
Physical habitat loss or alteration
Temperature
Dissolved oxygen
Conductivity, TDS
Sediment
Nutrients
Trace metals
Pesticides
PAHs
Invasive species
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The Five Steps
Define the case
List candidate causes
Evaluate data from the case
Evaluate data from outside the case
Identify probable causes- Refute causes
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TYPES OF EVIDENCE
Spatial/temporal co-occurrence
Exposure
Biological mechanism
Field based stress-response relationship
Casual pathway
Manipulation of exposure
Laboratory tests of site media
Temporal sequence
Verified predictions
Symptoms
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Spatial-Temporal Co-Occurrence:
San Diego River
Test Site Comparator
Ch
rom
ium
(u
g/L
)
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Test Site Comparator
Cyh
alo
thri
n (
ng
/L)
0
5
10
15
20
25
30
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Percent Fastwater Habitat
5 10 15 20 25 30 35 40 45
Pe
rcen
t S
en
sit
ive T
axa
6
7
8
9
10
11
12
13
Stressor-Response from the Field: Garcia River
Garcia River Test Site
R=0.59
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The Five Steps
Define the case
List candidate causes
Evaluate data from the case
Evaluate data from outside the case
Identify probable causes- Refute causes
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Co-Occurrence from Outside the Case:Santa Clara and San Diego Rivers
% S
an
ds +
Fin
es
Co
nd
uctivity (
uh
os/c
m)
Santa Clara Site
San
Diego
Site
Reference Sites Reference Sites
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Species Sensitivity Distributions
Max Concentration at Salinas River Test Site
Chlorpyrifos Concentration (ug/L)
Perc
ent
of
Spec
ies
Aff
ecte
d
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CADDIS Works, but It Isn’t Perfect
CADDIS strengths- Already built and documented
- Adept at ruling out causes
- Wonderful communication tool
CADDIS weaknesses- Nonpoint, cumulative stressors are difficult to diagnose
- Challenges to find appropriate comparator sites
- Uncertainty is problematic for decision making
Because of California’s unique issues, implementing recommendations will be important
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Guidance Manual Recommendations
Take advantage of our large statewide data set for comparator site selection
- Can be automated
Reduce uncertainty by creating new data analysis tools- Will streamline analysis increasing speed and decreasing cost
Post-identification steps need similar guidance
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Questions