an introduction to the algal stream condition index (asci)€¦ · an introduction to the algal...
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ASCI development
• California'sbioassessmenttoolbox• CaliforniaStreamConditionIndex(CSCI)• SoCalAlgalIndexofBioticIntegrity(IBI)• AlgalStreamConditionIndex(ASCI)
• ASCIdevelopment:approach• ASCIdevelopment:statusanddeadlines
CA’s ecological indicators
3
Invertebrates Fish
Algae
MultipleIndicators– BMIs,algae,fish,riparianvegetation
Multiplewaterbody types–largerivers,non-perennialstreams,lakes,wetlands
Californiafocus– perennialstreams,bugsandalgae
California’s bioassessment programs
• Overtwodecadesofsamplecollection• StandardizedprotocolsandQA/QC• Annualtrainingsandauditsforallfieldcrews
California stream bioassessment: bioindicators
Benthicmacroinvertebrates Algae
• Directlinktowaterchemistryandnutrientstressors
• Shortlifespan,rapidgrowthrateandrapidresponsetostress
• Respondtophysicalhabitat,pollutants,sediment,flowalteration
• Integrateecologicalconditionovertime
DiatomsSoft-bodied algaeCyanobacteria
California Stream Condition Index (CSCI)
ReferenceDisturbed
• Predictiveindex• Site-specificreferenceexpectations
• Statewideapplicability
SoCal Algal Index of Biotic Integrity (IBI)
ReferenceDisturbed
• Traditional(non-predictive)• Separateindicesdevelopedforsoft-
bodiedalgae,diatoms,andahybridofthetwo
SoCal Algal Index of Biotic Integrity (IBI)
ReferenceDisturbed
Diatom Softs Hybrid
• Algalindicesrespondstronglytodisturbance
• Hybridindexmostsensitive
Algal Stream Condition Index (ASCI)
ReferenceDisturbed• Predictiveindex
• Consistenttooltouseacrossstate• Landscapesettinginformssite-specificreferenceexpectations• LargedatasetspansCaliforniaecoregions
ASCI: Development approach
IDReferencesites
Taxonomiccompleteness
(O/E)
Ecologicalstructure(pMMI)
ASCI
Developmentdataset(Biology,GISdata)
Calibration
Validation
MirrorsCSCIdevelopmentapproach
ASCI: Development approach
IDReferencesites
Taxonomiccompleteness(O/E)
Ecologicalstructure(pMMI)
ASCI
Developmentdataset(Biology,GISdata)
Calibration
Validation
MirrorsCSCIdevelopmentapproach
Diatoms SBA Diatoms SBA
~2000stations,3800taxa• Years2008-2016• StormwaterMonitoringCoalition(SMC)• PerennialStreamAssessment(PSA)• ReferenceConditionManagementProgram(RCMP)• RegionalMonitoringCoalition(RMC)
Algaetaxonomy
ASCI: Development dataset
Spatialdata
Weather
Defining reference expectations
Whatshouldthebiologylooklikeatatestsite?
ASCI: Reference site selection criteria
Metric Scale Threshold Unit
%agriculture 1k,5k,WS 3 %
%urban 1k,5k,WS 3 %
%agriculture+%urban 1k,5k,WS 5 %%Code21(developedveg) 1k,5k,WS 7,10 %
Roaddensity 1k,5k,WS 2 km/km2
Roadcrossings 1k,5k,WS 5,10,50 crossingsDamdistance WS 10 km%canalsandpipelines WS 10 %Producermines 5k 0 minesW1_HALL(rip.anthro.disturbance) site 1.5 -
ReferenceStressed
http://rpubs.com/stheroux/devdata
Dataset spans ecoregions in California
ChaparralCentral ValleyDeserts ModocNorth CoastSouth CoastSierra NevadaChaparralCentral ValleyDeserts ModocNorth CoastSouth CoastSierra Nevada
PC1(31.8%varianceexplained)
PC2(17.4%
varianceexplaine
d)
Environmentalvariables
Referencesites
Reference sites capture geographic gradients
PC1(31.8%varianceexplained)
PC2(17.4%
varianceexplaine
d)
Environmentalvariables
Reference sites by region
Allsites ReferenceSitesCentralLahontan 125 53
CentralValley 79 1
CoastalChaparral 353 55
DesertsModoc 87 26
InteriorChaparral 84 30
NorthCoast 168 60
SouthCoastMountain 236 39
SouthCoastXeric 621 26
WestSierra 148 66
PredictiveMulti-MetricIndex(pMMI)
%motiletaxa %N-fixing%Cutolerant
Observedvs.Expectedtaxa(O/E)
Diatoms
Softs
ZHRCRUS
ASCI: two component index
Whoisthere? Whataretheydoing?
How are we making predictions?
• Useenvironmentalvariablestopredictspeciesassemblages(O/E)andmetricvalues(pMMI)• Candidatepredictors(partiallist):
Location Topography Long-termclimate
Soils Minerology
Latitude Watershedarea
Catchmentprecip
Bulkdensity MgO content
Longitude Elevationrange
Localprecip Erodibility CaO content
Elevation Localtemp Permeability Scontent
Performance aspect Howdowemeasure?Sensitivity Bigdifferencesbetween referenceandstressedPrecision LowSDforreference sitesAccuracy ValidationreferencesitesBias Nobiasfromnaturalgradients
MockAS
CI
MockAS
CI
PSAregion
ASCI: evaluate performance
Status of ASCI: draft O/E
1. Biologicalcharacterization✔
2. Predictclustermembershipandcaptureprobabilitiesforeachtaxon✔
3. Selectionofexpectedtaxa
4. Combiningoftaxaintoanindex
Status of ASCI: pMMI in progress
1. Calculatemetrics✔2. Predictmetricvaluesat
referencesites✔3. Screenmetrics4. Selectmetrics5. Combinemetricsintoan
index
Status of ASCI: pMMI in progress
Autoecological Communitystructure Ecologicalguild Tolerance/Intolerance
Nuptakemetabolism
Achnanthidiumminutissimum
Highmotility ISA: mostsensitive
Saprobicclass CRUStaxa Lowmotility ISA:mosttolerant
Oxygenrequirement
ZHRtaxa Nonmotile Sedimenttolerant
Metricswehavecalculated(partiallist):
BCGLevels BCGid’ed taxaofinterest
Level1taxa Achnanthidium minutissimum; Hannaea arcus
Level3/4taxa Planothidium sp.; Surirella sp.;Pleurosira sp.
Level6 taxa Cyclotella meneghiniana, Gomphonemaparvulum,Nitschia inconspicua
BCGderivedmetrics:
Timeline
Description EstimatedDateIndexdevelopment- GraphsandtablessummarizingO/Emodel,MMImodelandASCImodelandvalidation
6/2017
OralpresentationoncomparisonofASCIperformancetootherindices
6/2017
GraphsandtablessummarizingASCIuseincontextofotherbioindicators
9/2017
Draftfinalreport 9/2017Finalreport 12/2017
Summary: ASCI applications
• AlgalIndexwillleverageyearsofalgaetaxonomyandenvironmentaldata
• ASCIwillbeintegratedintoinStateandRegionalambientwadeablestreambioassessmenttoolkit
• ProvidecomplementaryinformationtoCSCIandotherbiointegritymeasures
• SupportStateWaterBoardcombinedbiostimulatoryandbiointegrityamendments
• Infrastructure:roads,railroads• Populationdensity• Hydromodification
• manmadechannels,canals,pipelines
• Landuse• Ag/Urbandevelopment• TimberHarvest,Grazing
• Firehistory,dams,mines• 303dlist,knowndischarges• Waterchemistry
Reference sites have few sources of human stress