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ThiscommunicationisacontributiontothePADDLEproject,whichhasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeunderGrantagreementNo734271.
MSP’sspecialchallengesintropicalareasEcosystemdynamicspointofview:theactiveacousticsinputAnneLebourges-DhaussyIRD/UMRLEMAR
3
Advantagesu Non-invasive and non-destructive
method u Horizontally & vertically
continuous information (in opposite to stations) along large spatio-temporal scales
u Allows deep observations (> 1000 m)
u Provides a rather exhaustive view of the water column
Limitsu Difficult specific identification of
organisms u Only estimation of biomasses Trenkeletal.(2011)
Advantages&limitsofactiveacoustics
Knowledgeavailablefromacoustics
Fishstockassessment Spatialdistributionofmarineorganisms Time-seriesPredator/preysrelationships
Distributions/environmentconditionsrelationships HabitatsBehaviourstudies
Useful tool for ecosystemic approach Useful tool for monitoring changes impacts
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Knowledgeavailablefromacoustics
Fishstockassessment Spatialdistributionofmarineorganisms Time-seriesPredator/preysrelationships
Distributions/environmentconditionsrelationshipsBehaviourstudies
Habitats
Useful tool for ecosystemic approach Useful tool for monitoring changes impacts
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Spatialdistributionandstockassessments
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ExampleofsmallpelagicstockassessmentinPeru:here,resultsonanchovies
Acoustictransects
Samplingtrawls
CourtesyofM.Gutierrez
Onetransect
An acoustic transect: the formation of an Echogram (cf anim)
Surface
Bottom
Electricvoltagemeasuredateachtransmission
SaturedRed:transmittedsignal&bottomecho
Red:fishschools
Yellow,green,blue:youngfish,zooplankton,ofvarioussizesanddensities
20m
40m
Distancerun
Theechosounderprovides1transmission~eachsecond
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Howreachthemapsperspecies?
TheboatmovingTransmit/ Receive areas
Whatmaycauseanecho?
AnythingthatisanobstacletothepropagationAnobstacle=anyobjectwhichhasnotthesameacousticpropertiesthanthewater§ Density§ Wavepropagationcelerity
Air, gaz Bottom, rocks
Fish
Turbidity, zooplankton
Thehigherthecontrast,thehigherthereflectedpartofthewave
CourtesyofJ.Habasque
Atka mackerel
Eulachon
Capelin
Pacific herring
Walleye pollock
Mallotus villosus
Clupea pallasii
Theragra chalcogramma
Thaleichthys pacificus
Pleurogrammus monopterygius
Species Lateralview DorsalviewS.GauthierPers.Com.
Forthefish:Theswimbladder
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14
Echo-integration
ESDU
Forasetofpings,onanelementarysamplingdistanceunit andoveragivenwaterheight iscalculatedanintegrationoftheenergyreceived fromthereflectionofthewaveonthebiologicaltargets
Identificationofthedetections
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TypicalexamplesoffishschoolsdetectedintheBayofBiscay (N.Diner,Ifremer)
Trawlsamplings
Biomassestimate
Allocationofafishassemblageorspeciesforeachsamplingdistanceunit
Acousticdensitymapsperspecies
Semi-empiricalmodelstorelateTargetStrength(TS)tolength(L):♦Clupéidés:TS=20logL-71.2dBèL=20cm,TS:-45.2dB♦Gadidés:TS=20logL-66dB èL=60cm,TS:-30.4dB♦Maquereau:TS=20logL-82dBèL=30cm,TS:-52.5dB(noswimbladder)
Conversionacousticdensity/fishweight
fromstandardequations
Closestrepresentative
trawl
Senegalexample:Twospeciesofsardinella
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PhDA.Sarré,2017RVItafDemeacousticsurveysof2005-2006-2007
NASC=acousticdensity
Lessonfromtimeseries
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Fish acous
tic densit
ies
Northern limit of
Sardinellas
detection from
fishing operation
s
Northern limit of vessel operations each year
Northwardtrendinthedistributionofsardinellafrom1995to2015 Fromacousticdensities,evolutionof
biomassesbarycenters
NorthwardtrendforS.aurita
PhDA.Sarré,2017
Contextofincreaseofseasurfacetemperatureoverthe
period
“Fisheries”threshold=-65dB“Ecosystemic”threshold=-90dBShip speed 0 m.s-1 de 0 a 5m.s-1
Peruvian echogram (M. Gutierrez, com. pers.)
Towardstheecosystemicacoustic,decreasingthethreshold…
Epipelagic layer
Ballón et al. (2011, PinO)
Exploitingfrequencypropertiesto discriminateorganisms
Gelatinous organisms?
1/Sv38+Sv120>threshold1? YES NO NO2/Sv38>Sv120?YESNO
3/Sv120>threshold2? YES NO
Epipelagic layer
Mappingthemacrozooplanktondistribution
Macrozooplankton,euphausiidsparticularly=anchoviespreys
(Bertrand et al., 2008, PinO)
Oxygèneisstructuringpelagicspecieshabitat(Bertrandetal.,2011PLoSONE)
Acousticsallowstheresolutiontothesubmesoscaleofthe
oxygenmeasurements=>potentialhabitatvolumeD
epth
(m)
OMZ
DO (mL/L)
Ballón et al. (2011, PinO)
Fishrelationshipswith:itspreys,itsenvironmentparameters
8018
6
781614
1210
872
7476
Latitude(ºS)
Longitu
de(ºW
)
0
150
100
50
Dep
th(m
)
Paita
PiscoCall
aoChimbot
e
Log(FishNAS
C+1)
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Bertrand et al. (2010, PLoS ONE)
Potentialanchovyhabitatvolume9187 km3
Crucero pelágico Feb. Abril 2005
Pelagichabitat
Benthichabitat
Soundersusedalsotocharacterizethebottomtypes
Lateral sonar, or multibeams, or vertical echosounders
Needs a training of the algorithms on known bottoms
28DAY NIGHT
Behaviourobservations:agregation/dispersion
Guillard&al.2004
Temperature
Impact on fishing
strategy
Amangroveapplicationofavertical echosounder
29Krumme&Hanning,2005
Floating device supporting the transducer
Study site in the center of the mangrove north of Bragança 24H time series of vertical distribution of fish tracks and current
speeds. UP: fish abundance versus depth cell versus time. LOWER: concurrent water level and and tidal current speed.
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FishinmangroveQuickturningfishobservedamidmangroveroots.
CourtesyofPeterJohnson,LGLNorthwestforSoundMetrics
Startofroots
Acousticcamerainamangrove: accesstonewareas
Monitoringmarineprotectedarea
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Example of the Coral Sea – New Caledonia, with a pluridisciplinary approach
Monitoringofamarineprotectedarea
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Example of the Coral Sea – New Caledonia
Acousticestimateoftunapreysdensity
Winter Summer
PhotoV.Allain,SPC
Trawledlayer
Micronektondiversitystudy
RVALISechosounderechogram
Tracking4tunasmigrations
DAY NIGHT
DAY
NIGHT
Micronektonmigrations
Monitoringsurroundingecosystemsaroundmarinerenewableenergydevices
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Anapproachthatitdevelopping:acousticequippedmooringsaroundMREdevicesExampleofWilliamson&al,2017work:Combinationofmultibeamandvertical
multifrequencyechosoundersaroundatidalturbinestructuretomonitormarinelifeandstudy:diveprofiles,depthpreferences,predator-preysinteractionsfishschoolingbehaviour
inconjunctionwiththehydrodynamicimpactofthedevice.
Multibeam principle (F. Gerlotto)
Challenge in the data processing due to high detections of bubbles.
Combined multibeam behaviour/multifrequency observations + vision (seabirds) to classify targets: no biological sampling.
Conclusion
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Thankyou!
A not invasive approach adapted for
- exhaustive description of the ecosystems - trophic relationships studies - highlight physical/biology interactions - evidence physical structures - monitor key areas
Training in ecosystem acoustic organised at UFPE-Récife in october 2017 october 2018