IFReDI-SciCap Case Study of an integrated monitoring system Inland Fisheries Research & Development Ins6tute (IFReDI) Scien6fic Capacity Development Ini6a6ve (Sci-Cap)
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IFReDI-SciCapCaseStudyofanintegratedmonitoringsystem
InlandFisheriesResearch&DevelopmentIns6tute(IFReDI)Scien6ficCapacityDevelopmentIni6a6ve(Sci-Cap)
Introduc)on • Evalua6ngimpactsonthefisheryisakeycomponentofmonitoringtheregionsrivers.Acomplementarysystemoftoolsandapproachesthatarecost-effec6veandaddresstheseneedsisproposed.
• Indicatordevelopmentandchoiceofwhattomonitorshouldbebasedontheanswerstosomekeyques6ons,ratherthanoncurrentdatacollec6onac6vity
ie,"whyarewedoingthis?"not"whatdatadowehave?“
Star6ngbydevelopingamonitoringstrategyisausefulwayofseMngthisframework.
2010
Balancing Needs and Mi)ga)ng Challenges
Anda=emptstomi>gatethechallenges,including:• Lowquality• Cost• Timeavailability• Technicalchallenges• Accessibility
TheMonitoringSystemusesa>eredapproachtomonitoringthataimstobalancemanydataneedsandrequirements,including:• Widespread• Con6nuous• Accurate• Highquality• Consistent• Targeted• Cost-effec6ve
Where to start?
• Beforeselec6ngwhatandhowtomonitorweconsidered:• Thepurposeofthemonitoringeg,toassessthestateoftheenvironment,toassessmanagementeffec6veness,toiden6fychange(absoluteormagnitude)• Whethertherewasanopportunitytousethesameindicatorsandtoolstomonitormul>pletargets
• Howwecouldop>mizethecosts-benefits• Whatourrepor>ngneedswereandwhotheaudience(s)wouldbe• Howthemonitoringneededtofeedintopolicyreviewandmanagement
INTEGRATIONConsiderthelinksbetweenthedifferenttypesofmonitoringthatneededtobeundertaken(eg,stateoftheenvironment,policy/managementeffec6veness,compliancewithregula6on,trends).
AnIntegra>veApproach
Usingaintegra>ve>eredmonitoringsystemframeworkallowsyoutobalanceneedsandaddresschallenges
TheIFReDI-SciCapmonitoringsystemintegratesmanyofthekeycomponentsofmonitoringsystemsthatmakethemefficientandeffec>ve,forexample:Ci>zenscience–fisheriesdependentcatchsurvey(con6nuousandwidespread,low-tech)Noninvasivebiomonitoring:tagging,eDNAetc.reduceslogis6ccostsIntegratesverifica>onsofreliabilityandqualityofdatathroughtheselec6veuseofhigh-techsystemsUsestargetedandoverlappingindependentstudiestoverifykeyinforma6onforqualityassurance!
Tiered Monitoring System
Hierarchicalstructurethatbalancesdataneeds,logis>csandcosts:Geographiccoverage&con6nuousrecordswithaccuracy&depthofinforma6onKeyComponents:• Standardiza6on• Comparable• Consistency• Systema6capproach
Ci)zen-Science Approach • Datacollec6oncanbemademoreefficientbyenlis6ngthehelpofpeoplewhoareworkingwithornearwhatyouwanttomonitor(eg,fishers).Ifyoumakeiteasy(orrela6velyeasyandnottoo6me-consuming)forpeopletocollectandrecorddataastheyaredoingtheirjobs,itenablesyoutotapintoabroaderbodyofhumanresources,canhelpwithcon>nuityandcanreducethechancesofgeMnggapsintheinforma6on.
Itiscri-caltogetinputondesignofdatacollec-onformsfromdatacollectorsandtoensurethattheyareabletousethemcorrectlyandaccurately.
• Ci>zen-sciencedatacanbequan>ta>ve(e.g.takingmeasuresorcoun6ng)orqualita>ve(e.g.givingtheimpressionofsomethingores6ma6ng)ando]enitisadvisabletobalancetheuseofboth.
(note:ci6zen-scienceacheapwaytogetalotofdataBUTitisnotalwaystheBESTanswer,toensureitisdoneaccuratelyandeffec6velyandtheinforma6onisreliableito]enrequirescostlysecondaryevalua6ons.Thereforeitiscri6caltoevaluatethecontext,typeofdataandneedforaccuracyandwhatthatwouldtakeandthenre-assesci6zen-scienceagainstalterna6ves).
IFReDI-SciCap Fisher Network Widespread network of fishers collec)ng con)nuous catch data
LiketheMRCfishmonitoringtoolitusesfisherstogeneratefisheriesdependentrecords–notnewWhyachangefrombusinessasusual?
• Reinforcementoftraining• Standardizedmethodsofdatacollec6onacrossmul6tudeoforganisa6ons
• Collec6onofmetadatatocontextualizetheresultsandforverifica6onofqualityandaccuracy
• Followsinterna6onalrecommenda6onsforobservers–independentassessments
• Usesfisheriesindependentsurveysasspotchecks• Usescamerasforsecondaryverifica6onofspeciesandotherelementsofqualitycontrol
• Collectsfishfinclippingsforter6aryverifica6onofspeciesIDasneeded• Supplementedbycommunitysurveysthatcontextualizethedata• Alsousesmorewidespreadqualita6veassessmentthatareverifiedbylesswidespreadandfrequentoverlappingquan6ta6veassessmentsthataremore6meconsumingbutmoreaccurateandinforma6ve.
Integra)on of targeted technology
Inaddi6ontothestandardizedandsimpledatacollec6onprocesswhichisgeographicallywidespreadandcon6nuoustheM&Eschemeincorporatestheuseoflowcosttechnologyorequipmenttoincreaseaccuracy,reliabilityandqualitybyobtainingsecondarydata,photos,geoloca6ons,temperature,depthmeasures,turbidityandhabitat
Integra)on of supplemental ac)vi)es TheFishCatchMonitoringNetworkissupplementedbyothermonitoringac6vi6esatdifferent6mesandgeographicscalestoaddressotherdataneedsandgaps.• Targetedresearchefforts–thatfillkeygapso]eniden6fiedbythecon6nuousM&E• Usesnovelandinnova>vetechniquestogeneratedataorverifyresults• Usesbiomonitoringmethodstoverifyspeciespresence(moleculariden6fica6onoflarvae),toinventoryspeciesandestablishtrends(watercolumnextrac6onofeDNA),non-invasivelytrackskeyconserva6onspecies(moleculargraffi6)
Monitoringsystemhelpstotargetques6onsofecologyorinfrastructureimpactswhichfeedbacktothemonitoringsystem–e.g.monitoringimpactsofdamswithmolecularassessmentofmigra6on.
Integrates context • Habitatassessments• Hydrologicalindicators• Drawsonavailableremotesensinge.g.landconversioncontext
Flow Variability Modeling
Species-Habitat Associa:ons
5 June 2008 Lake area: 3,300 km2 Lake level: 2.2 m
4 October 2008 Lake area: 12,300 km2 Lake level: 8.6 m
0 50 10025Kms
Integrates Database Design • Usescross-checks:mul6plewaystocorrectforerrorsinthedatabase
• Couplesgovernmentna6onalsta6s6csandcommunity-deriveddata
• Metadatacanalsohelptopreventduplica6onofeffortandtoshareknowledge.Sharedknowledgecantranslatetosharedcommitment.
• Usescrowd-sourcingtohelpcorrectforerrors
Crowd-sourcingyourQC:acceptthatalldatawillbeinaccurate,alldatacollec-onisflawedbecauseyouarebalancingvarioustrade-offs(informa-onandbudget)–sharingwithafewpeoplecancauseproblemsandcri-cisms–sharingwithmanycancreatesolu-ons
Recap: • Don’tnecessarilyneedtoinventsomethingnewbutcanreinventorfixthingsthroughintegra6on.• StartedwiththeneedsofthemonitoringoutputsandwhatwewantedtoolstoevaluatethendesigningtheM&Etoop6mizeefficiency• Aimedtobalanceconflic6ngneeds• Itdoesnotsitinisola6onbutreliesonothermonitoringac6vi6es• Internallybuildsmul6-facetedapproachtobalancethechallengesofavailabletoolsandtheircost,effec6veness,efficiency,etc.• Remainsflexibletointegratenewelementstoaddressnewneedsornewlyiden6fiedneeds
Take-home message: Integrated monitoring systems using different scales and elements can provide good informa)on in a cost-effec)ve way!
Thanks for Listening
Ques:ons?
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