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kel p for e s t s r equi res indirect habitat impro vement t hr ough s tr es s or r e duc t ion a nd di r ec t ke l p popul a ti on e nhanc e me nt i n ar eas whe re na t ur al recruitment is limited In a ddi ti on to r educing st r essor s responsi bl e for decl i nes deve l opi ng best practices will becritical for successful kelp restorationand mitigation projects R est ore k e l p f orests De ve l op a spa t i al pl a n ide nt i fyi ng regions and sites for priorityrestoration actions a nd mi t i ga t ion Cont i nue t he de ve l opme nt of ke l p re s t or at i on t ec hni que s for us e i n e nhanc e me nt a nd mi t i ga t ion pr oj e ct s Fund and implement restoration activities at priority sites 6 Prom ot e awareness e ngag em ent a nd a

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text:
c t i on f r o m us e r g r o ups Tr i be s t he publ i c a nd deci si on m ak ers The success of t h e Ke l p P l a n and t he c ons er va ti on a ndr e c over y of ke l p i n Puge t Sound de pe nds on i nc r e a s e d a wa r e ne s s enga ge me nt a nd s uppor t of a c t i ons t o susta in ke l p P r omot e a wareness e ngage me nt and s uppor t Sha r e i nforma t i on on 1 t he va l ue and r ol e of ke l p e c os yst ems a s c r i t ic al ne ar s hore ha bi t at a nd food we b s up por t for for a ge fi s h r oc kfi s h s a l mo n a nd killer whales i n

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text:
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text:
ined in this K el p P l a n Puget Sound Kelp Co ns er vat ion and Rec ov ery Plan M ay 2020 5 Bl ack rockfi sh swi mming i n bull kel p forest n ear Keystone Jetty Photo by Ad am Obaza Pa ua Marin e Research Sugar kel p Sacchari na l a ti ssi ma Squaxi n Isl a nd Photo by Helen Berry KelpPatch Speci cCharacteristics LimitDetectionCapabilityof Rapid SurveyMethodforDetermining Canopy BiomassUsinganUnmanned AerialVehicle MeredithL McPherson 1 2 andRaphaelM Kudela 2 1 OceanSciencesDepartment UniversityofCalifornia SantaCruz SantaCruz CA UnitedStates 2 DepartmentofBiology UniversityofMassachusettsBoston Boston MA UnitedStates Kelpforestsdominate autotrophicbiomassandprimaryproductivityofapproximately 30 000to60 000kmofshallowtemperateandArctic rockyreefcoastlinegloballyand contributesigni cantlytocarboncyclinginthecoas talocean Rapidbiomassturn overis drivenbyveryhighgrowthratesandseasonalenvironmentaldrivers Asaresult kelp biomassvariesgreatlywithtime space andbyspecies Inthenorth eastPaci cregion bull kelp Nereocystisleutkeana andgiantkelp Ma crocystispyrifera formextensive oating surfacecanopieswithadistinctspectralsign aturecomparedtothe surroundingwater Studieshaveshown thatremotesensingisadvantageousforderivinglarge scale estimatesof oatingsurface canopy biomass whichcompr isesmore than90 ofbull andgiantkelpstandingstock However development andvalidation ofremotelyderived kelpcanopybiomassislackingbecause existingapproachesaretimeintensive andcostly Thisstudyattemptedtoclosethatgapbydevelopingarapidsurveydesignutilizingdiver andunmannedaerialvehicle UAV imageryacrosssixsitesinnorthernandcentral California Kelpsporophyteswerecollectedandmeasured formorphometric characteristicsandgenera speci callometrytocanopybiomass Kelp densitywas measuredusing insitu diversurveysandcoupledwithUAVimagerytoquantifykelp canopybiomassataran geofground samplingdistances Wesuccessfullyestimatedkelp canopybiomassfro mUAVimageryat33 2 6 ofthesurveysites butconsistently determiningcanopybiomassviathisapproachwaschallengedbybothsurveydesignand kelp patch speci cspatialcharacteristics Themorphologiesofbullkelp inMon tereywere signi cantlydifferentthanotherregionsmeasured butfurtherworkshouldbe conducted tofullycharacterizedifferencesincanopybiomassattheregionalandsub re gionalscale Weusethisopportunitytosuggestsurveydesig nstrategies thatwillincreasethesuccess offuturemethodologicaldevelopmentofUAVbiomassret rieval We alsorecommend developinglong term

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annualgenera speci cmon itoringprogramsacrossthenorth east Paci cregionandbeyondtovalidateremotesensingderivedbiomassestimatesbeyond thesmall numberofexistingwell characterizedsites Keywo rds nereocystis macrocystis bullkelp giantkelp canopybiomass semi variogram UAV UAS Editedby WesleyMoses UnitedStatesNavalResearch Laboratory UnitedStates Reviewedby WiebeNijland UtrechtUniversity Netherlands TianhaiCheng Insti tuteof Remote SensingandDigital Earth CAS China Correspondence Meredit hL McPherson Meredit h McPherson umb edu Specialtysection This articlewassubmittedto EnvironmentalInformaticsandRemote Sensing asectionof thejournal FrontiersinEnvironmental Science Received 05April2021 Accepted 06June2022 Published 14July2022 Citation McPhersonMLandKudelaRM 2022 KelpPatch Speci cCharacteristics Limit DetectionCapabil ityof Rapid Survey Method forDetermining CanopyBiomassUsing anUnmanned AerialVehicle Front Environ Sci 10 690963 doi 10 3389 fenvs 2022 690963 Frontier sinEnvironmentalScience www frontiersin orgJuly2022 Volume10 Article690963 1 ORIGINALRESEARCH published 14July2022 doi 10 3389 fenvs 2 022 690963 INTRODUCTION Kelpforestsarehighlyproductiveanddiversenearshore ecosystemsthatthrivealongshallowtemperateandArctic rockyreefs Stenecketal 2002 and theydominate autotrophicbiomassandprimaryproductivityacross approximately 25 oftheworld s coastlines Reedand Brzezinski 2009 Wernbergetal 2019 Asaresult kelp forestsareabiogenichabitatthatsupport arangeofgoods andservicesof ecological three dimensionalhabitatstructure biodiversity nutrientcycling etc andeconomic coastline defense recreationalandcommercial sheries harvestable biomass value Teagleetal 2017 Kelpscontribute signi cantlytonutrientandcarboncyclinginthecoastal ocean ReedandBrzezinski 2009 whererapidbiomass turnoveris drivenbyveryhighgrowthratesandseasonal environmentaldrivers Reedet al 2008 However deriving large scaleestimatesofkelp standingstockischallenging becausekelpforestsandmacroalgalhabitats arespatiallyand temporallydynamic Daytonetal 1999 Distributionof biomassisdrivenbyspecies environmentalconditions and physicaldisturbancesuchaswavesandswell Ebelinget al 1985 andpatch levelbiologicalandphysicalfactorssuchas grazing sporedispersal andsubstratetype Daytonetal 1984 Thesechallengesin uenceourability todetermineaccurate regionalandglobal ratesofkelpnetprimaryproductivity carboncycling andcarbonsequestration Determiningkelp biomassbasedcarbonmetricsisimperativeas kelpforests are threatenedbythein uenceofanthropogenicfactorssuchas climatechange Wernbergetal

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text:
2016 Rasheretal 2020 increasingfrequencyandintensityofmarineheatwaves Oliveretal 2017 Cavanaughetal 2019 Straubetal 2019 Dexteretal 2020 McPhersonetal 2021 andover shing Ling etal 2009 InthenortheastPaci cregion AleutiansIslands Alaskato BajaCalifornia Mexico giantkelp Macrocystispyrifera andbull kelp Nereocystisluetkeana arethedominantsurfacecanopy forming kelps Theircanopiesareeasilyobservedusingremote sensingtechniques suchasplane basedaerialsurveys spacebornesatellites andunmannedaerialvehicles UAVs becausethespectralsignatureof thesurfacecanopyisdistinct fromthesurroundingwater Thisisadvantageousfor determiningestimatesofstandingstockbecausenearlyall 90 ofbullandgiantkelpbiomassand therebyprimary production iscontainedwithinthesurfacecanopy Historically themostcommonkelpmappingapproaches haveevaluatedkelp canopyarearatherthanbiomassbecause 1 manymapping campaignsare conducted bystate naturalresource departmentsthathaveprioritizedcanopyextent asametric forkelpasaharvestableandmanagednaturalresource e g CaliforniaDepartmentof FishandWildlife CDFW Oregon DepartmentofFishandWildlife ODFW Washington DepartmentofNaturalResources WDNR Alaska DepartmentofFish andGame etc and2 species or region speci crelationshipsbetweenpixel spectral characteristicsandbiomasshave notbeen widelydeveloped norvalidated Whilethereissigni cantvalueinmonitoring kelp canopyarea estimatinglarge scaleratesofprimary productivityandcarbonsequestration willcontinue tobe limitedunlessregionandgenera speci cbiomassescanbe derivedfromremotesensingdata Studies reportingvalidationofremote sensingderived estimatesof kelpcanopybiomassarelimited butthegeneral approachistoestablishlocationspeci cempiricalrelationships between insitu measurementsofkelpbiomassand image based kelpclassi cationmethods Allometryisprimarilyusedtoderive insitu biomassfromkelpmorphologysuchasblade length bulb diameter Stekollet al 2006 oracombinationofmultiple morphometricfeatures Rassweileret al 2008 Stekollet al 2006 createdthe rstremoteestimatesofkelpcanopybiomass forbull kelpand Allaria stulosa insoutheastAlaska usinghigh spatialresolution 0 5 Œ 2m multispectral 4band airbornedata andgroundtruthingtechniquesin2002and2003 Normalized difference nir Œ blue nir blue was usedtogeneratekelp classi cationand wasconvertedtobiomassusing insitu density countsin16 m 2 surface quadratsandan allometricrelationshipto sub bulbdiameter de nedas15 cmbelowthegreatestdiameter of thebulb Cavanaughetal 2010 Cavanaughetal 2011 foundastrong correlation betweenspectralbandinformation andcanopybiomassusing 10 m SPOT and30 m LandsatTM spatialresolutionsforgiantkelpalongtheSantaBarbaracoast Imagebasedkelpclassi cationwasconductedusingboth normalizeddifferencevegetation index NDVI Cavanaugh etal

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text:
2010 andmultipleendmemberspectralmixtureanalysis MESMA Cavanaughetal 2011 Satellitedatawerelinkedto canopybiomass derivedfromlong termsubtidalmonitoringof giant kelpbytheSantaBarbaraChannelLong termEcological Researchprogramwithinpermanentapproximately1 600m 2 plots Rassweileretal 2008 Canopybiomasswasderived usingdivermeasurementsoffrondlengthandconversion factorsderivedfromsporophytescollectedanddissectedinthe lab monthlyfora2yearperiod Rassweiler etal 2008 Subsequently therelationshipbetweenMESMAderivedkelp fractionand SantaBarbaragiantkelpcanopybiomass hasbeen usedto makeregionalestimatesof canopybiomassfromBaja California MexicotoAñoNuevo CaliforniausingUSGSLandsat imageryacrossmore than30years Bell etal 2015 Cavanaugh etal 2019 Belletal 2020b Despitetherobustnatureofthe satellite derivedcanopybiomassfromtheSantaBarbaracoastal sites sub regionaldifferences insporophytemorphology and allometryaffectingthebroaderregionalvalidityofthis relationshiphavenotpreviouslybeenconsidered In addition totheapplicabilityofbiomasspredictions thereis increasingmotivation toapplyhigherspatialresolution 30m imagerytokelpmappingeffortsinregionswherecomplexshoreline topographyexists Nijlandetal 2019 andsigni cant kelpcanopy declineshaveoccurred McPhersonetal 2021 Todate arangeof platformswith varyingspatialresolutionshavebeen applied tokelp mappingefforts Schroederetal 2019 Mu ltispectralUSGS Land satimagery 30mspatialresolution hasbeenwidelyused becauseofthelargetemporalandspatialscalesa twhichdataare freelyavailable Cavanaughetal 2010 Cavanaughet al 2011 Bell etal 2015 Younget al 2015 Beas Lunaeta l 2020 Belletal 20 20 b Friedlanderetal 2020 McPhersonetal 2021 Houskeeper Frontier sinEnvironmentalScience www frontiersin orgJuly2022 Volume10 Article690963 2 McPhersonandKudela Patch Speci cCharacteristicsChallengeBiomassEstimation etal 2022 Studiescomparingthesuiteofsensors LandsatTM ETM andOLI tohigherspatialresolutionaerialimagery e g CDFW ODFW havefound thatthough falsepositives waterpixels mis identi edaskelp byLandsatareuncommon thesensoroften missespixelscontaininglessthan20 kelp Hamiltonetal 2020 Fingeretal 2021 Furthermore thedifferencebetweenrelatively high 2m andmoderate 30m spatialresolutionisp ronounced whencanopycoverageislow Fingeretal 2021 kelpre ectance signalsarelowerthanLandsat sdetectioncapabilities orcoastline features largetidalrangeandcomplextopography limitdetection offringingkelpbedswithina30mbuffertotheshore Nijlandetal 20 19 Mora Sotoetal 2020 and Huovinenet al 2020 werethe rs tstudiestouseEur opeanSpace Agency ESA Sentinel 2 10m imagerytomapgiant kelp Thecreationof aglobalkelpmapby Mora Soto etal

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2020 wasvalidatedagainstpreviouslysurveyedor observedbeds buttheapproachw as noteffectiveatdetectingbed sizes 1ha 10 000m 2 andresults werelimitedtokelpcanopyarea ratherthanbiomassorproductivity Increasingly scientists andmanagersareusingUAVplatforms tocustomizeandvalidatekelpmappingefforts despitethe tradeoffs inthetotalareacoveredusingUAVsversusother platformsandlogisticalchallenges UAVsoffer exibilityfor studyingkelp bedsatlocal andpotentiallysub regional scales andhaveapplicabilityinoffshoreaquaculture Belletal 2020a satelliteremotesensingvalidation Mora Sotoetal 2020 physiology Belletal 2020a andmaysupplementexpensive aerialsurveys byresourcemanagement monitoringefforts Hohmanetal 2019 UAVsarealsooptimalforobservations oflocalscalekelpbedvariability Cavanaughetal 2021 illustrated thesigni canceof tidalheightandcurrentvelocityonchangesin kelpcanopyareaandtheeffect acrosssites Giventhe exibilityofUAVplatforms developingeffective eld surveysismoreaccessiblethanwithsatellite imageryandthe potentialforquantifying ne scalephysiologicalmetricsusing UAVsmountedwithmultispectralorhyperspectralsensors is possiblegivensuf cientunderstandingof biomass Duetothe limitednumberofvalidationstudies deriving kelpcanopy biomass usingremotesensingdatawedesignedarapidsamplingapproach wheremorphology measurementsanddiversurveyswereused to estimate insitu kelpcanopybiomassanda UAVplatformwasused tomap oatingkelpcanopy Thoughthesurveysweredesigned withtheaimtodevelopandscaleregionalestimatesof giantand bullkelpcanopybiomass thiswaschallengedbyseveral factors Keyoutcomesinclude1 aninvestigationoftheregional differencesinallometric relationshipsforcanopybiomass derivation and2 characterizingthefeaturesofboththesurvey designandkelppatchthatin uencedourabilitytoreliablyretrieve estimatesofcanopybiomassfromtheUAVimagery Finally we suggest insi tu sampledesignsto improveoutcomesforfuture approachestoderivingcanopybiomassusingremote sensing platforms METHODS Surveylocations Œ SixsitesalongtheCaliforniacoastlinewere selectedfor in situ diverandUAVsurveysinJulyandAugust 20 19 Figures1 2 Table1 Threeo f thesitesconsistedof pureb ull kelp twoin MendocinoCountyin northern California Figure1 magentabox Figures2A B andonealongthen ortheasternsideof theMontereyPeninsulaincentralCalifornia Figure1 green box Figure2C Theotherthreeconsistedofpuregiantkelpalongthe northeasternsideoftheMontereyPeninsula Figure1 greenbox Figures2D Œ F Thelengthoftimebetweenconductingthediveand UAVsurveysforsitesdidnotexceed30days Sitelocationswere chosenbasedonaccessibilitytokelpbeds protectionfromlarge swell sporophytecollectionandtransporttoshore andeaseof accessibilityforUAV ightoperations UAVd ataacquisition andprocessing Œ Agraphicaloverview describing the processingscheme forUAVimagery toppanel and insitu surveys bottompanel isdescribedin Figure3 High resolution multispectrali magerywereobtainedateach surveysite Table1 usingaDJIMatrice100quadcoptermountedwitha MicaSenseRedEdge Mpointednadir tothewater surface The RedEdge Msimultaneouslycapturesdatain vespectralbands the blue 475nm green 560nm red 668nm red

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text:
edge 717nm andnear infrared NIR 840nm See Suppl em entaryTableS1 for FIGURE1 AmapoftheCaliforniacoastlineillustratingspec i careas wheresurveysites werelocatedinMendocino County magentabox and MontereyCounty greenbox Frontier sinEnvironmentalScience www frontiersin orgJuly2022 Volume10 Article690963 3 McPhersonandKudela Patch Speci cCharacteristicsChallengeBiomassEstimation FWHM TheRedEdge M wasequippedwithadownwellinglight sensor DLS forall ights Tocalib ratere ectance foreach ight we imageda spectralcalibrationpanelwithknownre ectance duringthem iddleof eachm issionwhenUAVbatterieswere swapped Ouralong trackoverlapbetweenconsecutiveimages was 80 andside trackoverlapbetweenconsecutive ight lines was75 Sunglintcandistortthere ectanceof pixelswhen imageryiscollectedwhentheSunisatorclosetozenith 90 Toavoidglintcontamination weconducted ightsat orcloseto optimalSunangleconditions 45 tozenith FIGURE2 MicasenseRedEdge Mfalse colororthomosaicsofthesixsurvey sites A NoyoHarbor NH MendocinoCounty B PortugueseBeach PB MendocinoPeninsula C PointPiños PP MontereyPeninsula D OtterCove OC MontereyPeninsula E SanCarlosBeach SCB MontereyPeninsula F Hopkins MarineStation HMS MontereyPeninsula TABLE1 Detaileddescriptionofeachsurvey locationincludin gregion MendocinoCountyorMontereyPeninsula kelpgenera divesitecoordin ates dives urveydate substratetype UAVsurveydate andmeantidalheightduringeachUAVsurvey surveysitemeanstate MLLWandMHHW fromPt Arena CAandMonterey CA tidesandcurrents noaa gov SiteNameSite Location Kelp Genera LatitudeLongitude DiveSurvey Date Substrate Type UAVSurvey Date UAVSurvey Tidal Height m SiteTidalRange m NoyoHarbor NH Mendocino County bullkelp39 429 123 8107 August 2019 SandyRocky 8August20190 77Pt Arena CA MLLW 0 012 MHHW 1 7 Portuguese Beach PB Mendocino County bullkelp39 303 123 8028 August 2019 SandyRocky 8August20191 72 PointPiños PP Monterey Peninsula bullkelp36 630 121 919August14 and28 2019 Rocky12September 2019 1 34 Monterey CA MLLW 0 018

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text:
MHHW 1 4 OtterCove OC Monterey Peninsula giantkelp36 640 121 92826July2019Rocky2 July2019 1 1 SanCarlos Beach SCB Monterey Peninsula giantkelp36 612 121 89422July2019SandyRocky 3 July20190 14 HopkinsMarine Station HMS Monterey Peninsula giantkelp36 621 121 90110July2019SandyRocky 5 July20190 98 Frontier sinEnvironmentalScience www frontiersin orgJuly2022 Volume10 Article690963 4 McPhersonandKudela Patch Speci cCharacteristicsChallengeBiomassEstimation RedEdge Mimagery wasprocessedin thephotogrammetric softwarePix4DMapper Pix4D 1 008Prilly Switzerland Raw images withpixelvaluesindigitalnumbers DN wereconverted to radiance L Wm 2 nm 1 sr 1 usingastandardMicaSense radiometriccalibrationmodel Radiancevalueswereconverted to unitlessre ectance usinga bandconstantre ectance calibration factor F 1 Wm 2 nm 1 sr 1 F wasdetermined fromthere ectancepanelmeasurementmadeduringsurvey ightsbymultiplyingimage L by F foreachrespectiveband i where F i i L i 1 and i and L i arethemeancalibrationpanelre ectanceand radiancevalues respectively forband i Calibrationpanelre ectance valueswereprovided byMicaSense Weassumed skyconditions werecons istentthroughoutthedurationofthe ight 20 Œ 30min Re ectanceimageswerethenmadeintoorthomosaics Thestitched orthomosaicsforeachspectralbandwereexportedasGeoTIFFs from Pix4DMapper Individualbandorthomosaicswerethen mergedandresampledto10cmspatialresolutionusingthe Python3 1 function gdalwarp andaverageinterpolationasthe resamplingmethod Finally the vebandrastersweresubsetto theappropriatedivesitecoordinates Table 1 Figure3A usingthe Python3 1functions gdal_translate and gdalwarp GDAL OGR Contributors2021 respectively Pixelbasedkelp detection Œ Avegetationindextermed NormalizedDifferenceRed edgeBlue NDREB developedby Cavanaughetal 2021 was usedtoclassifykelppixelsinUAV re ectanceimages Figures3B Œ D Cavanaughetal 2021 showedthatNDREBwassuperioratseparating kelpand watercomparedtoothermultispectralindices Inbrief we calculatedtheNDREB rededge Œ blue rededge blue for each10 cmpixel Figure3B andcalculatedhistograms ofthe vegetationindexvalues

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text:
Figure 3C Eachsiteimagedisplayeda bimodaldistributionofNDREB values Themidpointbetween thetwopeakswascalculatedusingthePython3 1 ndpeaks module Kelpwasclassi edat eachsurveysitebyusingthe midpointasthethresholdvalue Kelppixelswerede nedasbeing greaterthanthethresholdvalue Figure3D Insitusurveysofkelpdensityandbiomass Œ Insitu surveyswere usedtodevelopspatiallyresolved estimatesofcanopybiomassfor bullandgiantkelpacross sixsites via1 assessmentofsubtidalstipe frond density Figure 3E 2 sporophytecollectionand morphometricmeasurementfordevelopmentofgenera speci c allometryandconversionofdiver stipe frond densitytocanopy biomass Figure3 bottompanel arrows andtheresultingderived biomass Figure 3F Resultsfrom eld baseddatawererelatedto NDREBkelpclassi cationresultsfromUAVsurveyswiththea imto acquireimage basedestimatesofkelpcanopybiomass Figure 3 For bothgenera sporophytelengths w eremeasuredtothenearest mm usingadivertransecttapeandweightsweremeasuredtothe nearest0 01kgusingaportableelectronicbalance FIGURE3 A owchartofthemethodologyusedinthedetectionofkelpineach10 cmpixel toppanel andderiving insitu kelpcanopybiomassviadiverand morphometricsurveys bottom panel Frontier sinEnvironmentalScience www frontiersin orgJuly2022 Volume10 Article690963 5 McPhersonandKudela Patch Speci cCharacteristicsChallengeBiomassEstimation Diver surveydesign Subtidalsurveysweredesignedtorapidly assessspatial distributionandpatternsofstipe frond density acrossmanykelpbeds Divesitesconsistedof3 600m 2 square plotssurveyedinaradialcon guration Figure 4 At veofthe sixsites PortugueseBeach PointPiños OtterCove SanCarlos Beach andHopkinsMarineStation Figures4B Œ F eight separatetransectswere conducted AtNoyoHarbor Figure4A onlyfouroftheeight transectswereconducted becauseoceanconditionslimiteddiveoperations PointPiños Figure4C wassurveyedacrosstwoseparatedays Table1 becauseoceanconditionslimiteddiveoperationsafterthe rst fourtransectswereconductedon14August2019 Surveyteams consistedoftwodivers Onenavigatedeach compassheading 30 60 120 150 210 240 300 and330 andreeledoutthetransecttapeto40m whiletheother counted stipes fronds withina2 mswathalongthetransecttape Stipe frond countswererecordedforevery5 m interval area 10m 2 whichwehavetermedthe tr ansectinter val Eachindividual transectbeganatthe5 mmarktoavoidoverlapofstipe frond countsatthecenterofthesurveyarea Asaresult eachcomplete divesurveyconsistedofaseriesof4or8 7 0m 2 transectsoratotal divesurveyareaof280m 2 Noyo Harbor or560m 2 Portuguese Beach PointPiños OtterCove SanCarlosBeach andHopkins MarineStation Thegeospatiallocationofeachtransectintervalw as trigonometricallydeterminedusingtheGPSlocation UTM ofthe centerbuoyandthetransect distancefromthecenterbuoy Morphologyandallometryfor canopybiomass Adult

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