InterimGuidetoDraftDataProductsandPotentialMethodstoDescribetheFive

ComponentsofEcologicalImportancefromtheImportantEcologicalArea

Frameworkinthe2016NortheastOceanPlan

DRAFT

May9,2017

TheNortheastRegionalPlanningBody(RPB)hasbeenworkingwiththeMarineLifeDataandAnalysis

Team(MDAT)toorganizeexistingdataanddevelopnewdraftproductsthatcouldapplytoeachofthe

fivecomponentsfromtheImportantEcologicalAreaFramework(IEAs).Thisinterimguideprovidesan

overviewofthosedraftdataproductsandthemethodsfordevelopingthem,includingreferencesfor

each.Eachofthedataproducts,themethodsusedtodevelopthoseproducts,andtheorganizationof

theseproductswithintheIEAFrameworkaredraft.Therefore,everythinginthisinterimguideshouldbe

construedasawork-in-progress.

Foreachdraftdatalayer(firstcolumnofthetables),theinterimguidenotestheunitofmeasureand

thespatialresolution(secondandthirdcolumns).Additionalinformationabouteachdraftdatalayer,

suchasthetemporalresolution,ortheanalyticalmethodusedtoderivethelayer—ifnotprovidedin

thedatalayername—isprovidedinthe“Reference(s)”column(lastcolumninthetables).

Inaddition,theRPBandMDATprovidethefollowingnotesabouttheover100datasetsdescribedinthis

guide:

● Thesedatareflectobservedand/orsampledmarinelifeandhabitats;therefore,

characterizationsofproductivity,diversity,richness,abundance,andrarity(andlikelyother

characterizations)shouldnotbeinterpretedtosummarizeorrepresentthesemetricsforthe

totalecosystem,butmayprovidemeaningfulestimatesbasedoncurrentscientific

understanding.

● Therearecleardifferencesinscaleandobservationaleffortamongtaxa,habitats,and

geographies(i.e.,nearshore,offshore,offtheshelf)whichneedtobeconsideredinthecontext

ofthe“representativeness”ofeachdataset.

● Toprovidestructureandcontextforthedata,itwasoftenhelpfultoorganizedatasetsinto

categorieswithineachcomponent(e.g.,datalayersrelevanttohighabundanceanddatalayers

relevanttoimportantlifehistorystagesforComponent3).Thesecategoriesareshowninrows

withineachComponenttableinbluetext.

● Someofthedatalayersreflectdifferentwaystorepresentasingleconcept(forexample,

speciesrichnessandGini-Simpsonindexaretwowaystorepresentbiodiversity).

● Thereareseveralecosystemfeaturesforwhichtherearecurrentlylimitedornodata,including

benthicproductivity,kelpforests,large-bodied/pelagicfishes,benthicinvertebrate

communities,andseaturtles.

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 2

SincetheNortheastOceanPlanwascompleted,theRPBandMDATrevisedthedataforproductivityandbiodiversity(Components1and2)accordingtofeedbackreceivedduringdiscussionswiththeRPB,theEcosystem-basedManagement(EBM)WorkGroup,andthepublicatthepublicEBMWorkGroupmeetingheldinBoston,MAinJuly2016.TheRPBandMDAThavealsobegunconsideringmethodsanddevelopingorincorporatingdataproductsthatarepertinenttoabundance,vulnerabilityandrarity(Components3-5).Thisworkhasbeentheresultofseveralorganizations’sharingandcoordination,includingNOAANortheastFisheriesScienceCenter(primaryandsecondaryproductivitydata),theNewEnglandFisheryManagementCouncil(habitatvulnerabilityfromtheSwept-Area-Seabed-Impactmodel,draftdeepseacoralzones),theMid-AtlanticFisheryManagementCouncil(deepseacoralprotectionzones),andNOAANationalCentersforCoastalandOceanScience(coralhabitatsuitabilitymodels,productivityproxies).

Theprocessbywhichthisworkwasandisbeingconductedisshowninthegraphicbelow.Theworkfocusedonassemblingallavailable(published,peer-reviewed)dataandestablishedmethodsthatarerelevanttoeachcomponent;ignoring(fornow)anyredundancyamongdatasets. Asaresult,therearenowmorethan100individualdatalayersthatpotentiallyaddressecologicalimportanceunderthefivecomponents,manyofwhicharealreadyincludedontheNortheastOceanDataPortal,buteachofwhichneedstobereviewedfortheirappropriatenessinthiscontext.

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 3

Component1:Areasofhighproductivity TheNOAANortheastFisheriesScienceCenter(NEFSC)willbetheprimarydataproviderforthedatain

thiscomponent.TheRPBcontinuestoworkwithNEFSCstafftodeterminewhichavailabledatasetsbest

characterizeproductivityfortheUSNortheastShelfLargeMarineEcosystem.TheRPBexpectsto

receivedatarepresenting:springbloomfrequency,magnitudeandstartday(1998-2015)fromFriedland

etal.2015;primaryproductivityseasonmeans(1997-2015);andtotalzooplankton“biovolume”

interpolationsfromNEFSCdata. ¨=presentedontheNortheastOceanDataPortalandintheNortheastOceanPlan Datalayer Units Resolution Reference(s) Primaryproductivity

¨Chlorophyll-aseasonalmedians(2002

–2015) mg/m

3 1.3kmx

1.3km NASAMODIS-Aqualevel-2layers

(http://oceancolor.gsfc.nasa.gov)from

the2014reprocessing. Hu,C.,LeeZ.,andFranz,B.A.2012.

Chlorophyll-aalgorithmsfor

oligotrophicoceans:Anovelapproach

basedonthree-bandreflectance

difference,J.Geophys.Res.,117,

C01011 Bloomfrequency(2002–2015)

- Springbloomfrequency

- Summerbloomfrequency

- Fallbloomfrequency

- Winterbloomfrequency

% 1.3kmx

1.3km

Sourcedata:MERIS

Method:similartoFriedlandKD,Leaf

RT,KaneJ,TommasiD,AschRG,Rebuck

N,JiR,LargeSI,StockC,SabaVS.2015.

Springbloomdynamicsandzooplankton

biomassresponseontheUSNortheast

ContinentalShelf.ContinentalShelf

Research102:47-61.

PotentialtobereplacedwithlayersfromNEFSCcovering1998-2015;0.5°grid

Bloommagnitude(2002-2015) - Springbloomstrength(median)

- Fallbloomstrength(median)

mg/m3 1.3kmx1.3

km Sourcedata:MERIS

Methods:Vargas,M.,C.W.Brown,and

M.R.P.Sapiano.2009.Phenologyof

marinephytoplanktonfromsatellite

oceancolormeasurements.Geophysical

ResearchLetters36. Sapiano,M.R.P.,C.W.Brown,S.

SchollaertUz,andM.Vargas.2012.

Establishingaglobalclimatologyof

marinephytoplanktonphenological

characteristics.JournalofGeophysical

Research117:C08026.

PotentialtobereplacedwithlayersfromNEFSCcovering1998-2015;0.5°grid

Bloomstartday(2002-2015) - Springdayofpeakbloom(median)

- Falldayofpeakbloom(median)

julian

day 1.3kmx1.3

km Sourcedata:MERIS

Method:Siegel,D.A.,S.C.Doney,andJ.

A.Yoder.2002.TheNorthAtlantic

springphytoplanktonbloomand

Sverdrup'scriticaldepthhypothesis.

Science296:730–733.

PotentialtobereplacedwithlayersfromNEFSCcovering1998-2015;0.5°

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 4

Datalayer Units Resolution Reference(s) grid

Frequencyofchlorophyll-aanomalies

(2002-2015)

- Springanomaliesfrequency

- Summeranomaliesfrequency

- Fallanomaliesfrequency

- Winteranomaliesfrequency

% 1.3kmx1.3

km Method:Suryan,R.M.,J.A.Santora,

andW.J.Sydeman.2012.New

approachforusingremotelysensed

chlorophyllatoidentifyseabird

hotspots.MarineEcology-Progress

Series451:213–225.

Long-termannualmeanchlorophyll-a

fronts PendingfurtherinformationfromNOAA

NEFSC Primaryproductivityseasonmeans

(1997–2015) PendingfurtherinformationfromNOAA

NEFSC ¨Eelgrass Polygon EelgrassmetadataonNortheastOcean

DataPortal

¨CoastalWetlands Polygon Coastalwetlandsmetadataon

NortheastOceanDataPortal

Secondaryproductivity ¨Species/seasonsummaries

⎯ Calanusfinmarchicusaverage

abundance–spring,fall ⎯ Euphausiidsaverageabundance–spring,fall

⎯ Gammaridamphipodsaverage

abundance–spring,fall ⎯ Mysidshrimpaverageabundance–

spring,fall

log(abu

ndance

/m3)

2.6kmx

2.6km Calanusfinmarchicusmetadataon

NortheastOceanDataPortal

EuphausiidsmetadataonNortheast

OceanDataPortal

Gammaridamphipodsmetadataon

NortheastOceanDataPortal

MysidshrimpmetadataonNortheast

OceanDataPortal

Zooplanktonbiovolume(10kmgrid

summary) ⎯ Biovolumefall,1995-2004 ⎯ Biovolumefall,2005-2014 ⎯ Biovolumespring,1995-2004 ⎯ Biovolumespring,2005-2014

10kmx

10km RawdatafromNOAANEFSC:

https://www.nefsc.noaa.gov/ecosys/ec

osystem-ecology/zooplankton.html.

GridsummariesbyNortheastOcean

DataPortalWorkingGroup

KaneJ.2007.Zooplanktonabundance

trendsonGeorgesBank,1977-2004.

ICESJournalofMarineScience

64(5):909-91. KaneJ.2011.Inter-decadalvariabilityof

zooplanktonabundanceintheMiddle

AtlanticBight.JournalofNorthwest

AtlanticFisheryScience43:81-92

PotentialtobereplacedwithlayersfromNEFSC

Proxiesforhighproductivity Geophysicalfeatures

Canyons-Harrisetal.2014 Polygon Harris,P.T.,M.Macmillan-Lawler,J.

Rupp,andE.K.Baker.2014.

“GeomorphologyoftheOceans.”

MarineGeology,50thAnniversarySpecialIssue,352(June):4–24.

Canyons-derivedfrombathymetric 100m DerivedusingtheBathymetricPosition

Index(BPI)on~100mresolution

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 5

Datalayer Units Resolution Reference(s) positionindex regionalbathymetrydatabyNortheast

OceanDataPortalWorkingGroup Seamounts-Yessonetal.2011 Pointdata Yesson,Chris,MalcolmR.Clark,

MichelleL.Taylor,andAlexD.Rogers.

2011.“TheGlobalDistributionof

SeamountsBasedon30ArcSeconds

BathymetryData.”DeepSeaResearchPartI:OceanographicResearchPapers,February.

doi:10.1016/j.dsr.2011.02.004. Seamounts-derivedfrombathymetric

positionindex 100m DerivedusingtheBathymetricPosition

Index(BPI)on~100mresolution

regionalbathymetrydatabyNortheast

OceanDataPortalWorkingGroup Frontalboundaries − SSTfrontprobability(winter)

− SSTfrontprobability(spring)

− SSTfrontprobability(summer)

− SSTfrontprobability(fall)

% 2kmx2km Monthly‘climatologies’fromPeter

Miller(PlymouthMarineLaboratory)

derivedfrommonthlyfront

presence/absenceinturnderivedfrom

dailyNASAMUR1-kmSSTdata(2002-

2013)andusedintheMDATavian

models: Kinlan,B.P.,A.J.Winship,T.P.White,

andJ.Christensen.2016.ModelingAt-

SeaOccurrenceandAbundanceof

MarineBirdstoSupportAtlanticMarine

RenewableEnergyPlanning:PhaseI

Report.U.S.DepartmentoftheInterior,

BureauofOceanEnergyManagement,

OfficeofRenewableEnergyPrograms,

Sterling,VA.OCSStudyBOEM2016-039.

xvii+113p.Availableonline:

https://www.data.boem.gov/PI/PDFIma

ges/ESPIS/5/5512.pdf Eddyprobability − Anticycloniceddyprobability-

winter

− Anticycloniceddyprobability-

spring

− Anticycloniceddyprobability-

summer

− Anticycloniceddyprobability-fall

− Cycloniceddyprobability-winter

− Cycloniceddyprobability-spring

− Cycloniceddyprobability-summer

− Cycloniceddyprobability-fall

%

native

resolution:

⅓degree

(approx.37

km) regridded

to2km

Derivedfromseasurfaceheight;Kinlan,

B.P.,A.J.Winship,T.P.White,andJ.

Christensen.2016.ModelingAt-Sea

OccurrenceandAbundanceofMarine

BirdstoSupportAtlanticMarine

RenewableEnergyPlanning:PhaseI

Report.U.S.DepartmentoftheInterior,

BureauofOceanEnergyManagement,

OfficeofRenewableEnergyPrograms,

Sterling,VA.OCSStudyBOEM2016-039.

xvii+113p.Availableonline:

https://www.data.boem.gov/PI/PDFIma

ges/ESPIS/5/5512.pdf

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 6

Component2:Areasofhighbiodiversity BiodiversityproductswereproducedaspartoftheMarinelifeDataandAnalysisTeam(MDAT)mapping

effortandincludesampled/observedmarinemammal,bird,andfishspecies.Theintentionforthis

componentistofirstdisplaytaxonomicmetricsofbiodiversitybecause1)theyarecomplete,and2)

theymayadequatelycharacterizepatternsinbiodiversity.Longer-term,thereisapotentialoptionto

developmapsoffunctionaldiversitythatincludemetricsoftrophicrichness(providednowasaproofof

concept)butcouldalsoincludemetricsofmobilitytype,habitatpreference,size,bodyform,andlife

span.Thereisalargebodyoffunctionaltraitresearchthatcouldbeusedtochoosemetricsandassign

taxa/speciestotraitcategories(forexampleseehttp://www.marinespecies.org/traits/). ¨=presentedontheNortheastOceanDataPortalandintheNortheastOceanPlan Datalayer Units Resolution Reference(s) Taxonomicmetricsandindicesofdiversity

⎯ ̈ AllCetaceanSpeciesRichness ⎯ ̈ AllBirdSpeciesRichness ⎯ ̈ AllFishSpeciesRichness–NEFSC

Fallsurveys ⎯ AllFishSpeciesRichness–NEAMAP

surveys ⎯ AllFishSpecies–Gini-SimpsonIndex

(NEFSCfallsurveys) ⎯ AllCetaceanSpecies–Gini-Simpson

Index

#species

(richness);

probability

thatall

individuals

belongto

different

species

(Gini-

Simpson–

more

sensitiveto

species

dominance)

10kmx10km

(cetaceans

andfish) 2kmx2km

(bird)

Curtice,C.,ClearyJ.,

ShumcheniaE.,HalpinP.N.

2016.Marine-lifeDataAnalysis

Team(MDAT)technicalreport

onthemethodsand

developmentofmarine-life

datatosupportregionalocean

planningandmanagement.

Preparedonbehalfofthe

Marine-lifeDataAnalysisTeam

(MDAT).Accessed

at:http://seamap.env.duke.ed

u/models/MDAT/MDAT-

Technical-Report-v1_1.pdf Simpson,E.H.1949.

MeasurementofDiversity.

Nature163:688. Functionalmetricsofdiversity

Richnessofbirdforagingguilds #(outof4)

foraging

guilds

represented

withatleast

2species

2kmx2km Curtice,C.,ClearyJ.,

ShumcheniaE.,HalpinP.N.

2016.Marine-lifeDataAnalysis

Team(MDAT)technicalreport

onthemethodsand

developmentofmarine-life

datatosupportregionalocean

planningandmanagement.

Preparedonbehalfofthe

Marine-lifeDataAnalysisTeam

(MDAT).Accessed

at:http://seamap.env.duke.edu

/models/MDAT/MDAT-

Technical-Report-v1_1.pdf Proxiesforhighbiodiversity

Coralhabitats habitat

suitability

(highand

veryhigh)

~350m NOAANCCOSDeepSeaCorals

modeling:

https://coastalscience.noaa.gov

/projects/detail?key=35

Canyons-Harrisetal.2014 Polygon Harris,P.T.,M.Macmillan-

Lawler,J.Rupp,andE.K.Baker.

2014.“Geomorphologyofthe

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 7

Datalayer Units Resolution Reference(s) Oceans.”MarineGeology,50thAnniversarySpecialIssue,352

(June):4–24.

doi:10.1016/j.margeo.2014.01.

011. Canyons-derivedfrombathymetric

positionindex Polygon DerivedusingtheBathymetric

PositionIndex(BPI)on~100m

resolutionregionalbathymetry

databytheNortheastOcean

DataPortalWorkingGroup Seamounts-Yessonetal.2011 Pointdata Yesson,Chris,MalcolmR.Clark,

MichelleL.Taylor,andAlexD.

Rogers.2011.“TheGlobal

DistributionofSeamounts

Basedon30ArcSeconds

BathymetryData.”DeepSeaResearchPartI:OceanographicResearchPapers,February.doi:10.1016/j.dsr.2011.02.004.

Canyons-derivedfrombathymetric

positionindex Polygon DerivedusingtheBathymetric

PositionIndex(BPI)on~100m

resolutionregionalbathymetry

databytheNortheastOcean

DataPortalWorkingGroup Otherareasofcomplexseafloor ⎯ Bathymetricpositionindex,83m

⎯ Bathymetricpositionindex,251m

Non-

dimensional

benthic

position

index

83mand

251m Wright,D.J.,Pendleton,M.,

Boulware,J.,Walbridge,S.,

Gerlt,B.,Eslinger,D.,Sampson,

D.,andHuntley,E.2012.ArcGIS

BenthicTerrainModeler(BTM),

v.3.0,EnvironmentalSystems

ResearchInstitute,NOAA

CoastalServicesCenter,

MassachusettsOfficeofCoastal

ZoneManagement.Available

online:http://esriurl.com/5754.

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 8

Component3:Areasofhighabundance Abundanceproductsformarinemammals,birds,andfisharereadilyavailablefromtheMDATmapping

effort,andtheywereproducedwithtwodifferentmethods:simpletotalabundancemapspertaxaand

coreabundance/biomassarearichnesspertaxa.Thecoreabundance/biomassarearichness

methodologyandproductswerereviewedbytheMarinelifeWorkGroupsandEBMWorkGroupin

February2016andwillbesubmittedforpeer-reviewinascientificjournalin2017.Arankedrelative

abundanceapproachisanothermethodtestedbyMDATthathaspromisebecauserelativeabundances

canbereadilycomparedamongtaxa.Currently,rankedrelativeabundancesareincludedforindividual

taxaseparately.Abundanceproductsforbenthicinvertebratesaresummarizedonthegridusedfor

theNewEnglandFisheryManagementCouncil(NEFMC)Swept-Area-Seabed-Impact(SASI)analysisgrid

(10kmx10km),asmadeavailablebythedataprovider(UniversityofMassachusettsSchoolforMarine

ScienceandTechnology(SMAST)).Longer-term,theRPBisworkingwithSMASTtore-mapthese

observationsona1-2kmgrid. ¨=presentedontheNortheastOceanDataPortalandintheNortheastOceanPlan Datalayer Units Resolution Reference(s) Marinelifetotalabundance/biomass

⎯ ¨Allcetaceanstotalabundance ⎯ ¨Allavianspeciestotalrelative

abundance ⎯ ¨Allfishspeciestotalbiomass

(NEFSCfallsurveys ⎯ Allfishspeciestotalbiomass

(NEAMAPsurveys)

#of

individuals 10kmx

10km

(cetaceans

andfish) 2kmx2km

(avian)

Curtice,C.,ClearyJ.,Shumchenia

E.,HalpinP.N.2016.Marine-life

DataAnalysisTeam(MDAT)

technicalreportonthemethods

anddevelopmentofmarine-life

datatosupportregionalocean

planningandmanagement.

PreparedonbehalfoftheMarine-

lifeDataAnalysisTeam(MDAT).

Accessedat:

http://seamap.env.duke.edu/mod

els/MDAT/MDAT-Technical-

Report-v1_1.pdf Marinelifecoreabundance/biomassarearichness

⎯ Cetaceancoreabundancearearichness:Atlantic,Mid-Atlantic,

Northeastscales ⎯ Aviancoreabundancearearichness:

Atlantic,Mid-Atlantic,Northeast

scales ⎯ Fish(NEFSCfall)corebiomassarea

richness:Atlantic,Mid-Atlantic,

Northeastscales ⎯ Fish(NEAMAP)corebiomassarea

richness:Atlantic,Mid-Atlantic,

Northeastscales

#of

species

core

abundance

/biomass

areas

10kmx

10km

(cetaceans

andfish) 2kmx2km

(avian)

Curtice,C.,ClearyJ.,Shumchenia

E.,HalpinP.N.2016.Marine-life

DataAnalysisTeam(MDAT)

technicalreportonthemethods

anddevelopmentofmarine-life

datatosupportregionalocean

planningandmanagement.

PreparedonbehalfoftheMarine-

lifeDataAnalysisTeam(MDAT).

Accessedat:

http://seamap.env.duke.edu/mod

els/MDAT/MDAT-Technical-

Report-v1_1.pdf

Rankedrelativespeciesabundance ⎯ Mammals–January,top15% ⎯ Mammals–August,top15% ⎯ Avian–Winter,top15% ⎯ Avian–Summer,top15% ⎯ Fish–NEFSCfall,top15%

Rankingof

areasby

their

proportion

oftotal

species

10kmx

10km

(cetaceans

andfish) 2kmx2km

(avian)

Lehtomäki,J.&Moilanen,A.

2013.Methodsandworkflowfor

spatialconservationprioritization

usingZonation.Environmental

Modelling&Software47,128–

137. Moilanen,A.2007.Landscape

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 9

Datalayer Units Resolution Reference(s) abundance

across

species

Zonation,benefitfunctionsand

target-basedplanning:Unifying

reserveselectionstrategies.

BiologicalConservation134,571–

579. Numberofbenthicmegafaunalgroups

withaboveaverage(2003-2012)

abundance

#groups 10kmx

10km StokesburyK.D.E,AdamsE.K.,Asci

S.C.,BethoneyN.D.,InglisS.,

JaffarianT.,KeileyE.,Rosellon-

DrukerJ.M.,MalloyR.Jr.,O’Keefe

C.2015.SMASTSeascallop

(Placopectenmagellanicus)drop

camerasurveyfrom1999to2014.

ReporttotheNEFMCReviewof

ScallopSurveyMethodologies.

Available:

http://www.nefsc.noaa.gov/SAW-

Public/scallop-survey-meth-

review-Mar-2015/3-

DropCamera_SMAST/New/SMAST

%20drop%20cam%20survey%201

999-2014%20(Stokesbury).pdf

Lifehistoryproducts CetaceanBiologicallyImportantAreas Polygon NOAACetMap;VanParijs,S.M.,

Curtice,C.,&Ferguson,M.C.

(Eds.).2015.Biologically

ImportantAreasforcetaceans

withinU.S.waters.Aquatic

Mammals(SpecialIssue),41(1).

128pp. ¨FishandShellfishEFHoverlay #species 10’x10’ FishandshellfishEFHoverlay

metadataontheMid-Atlantic

OceanDataPortal

¨HighlyMigratorySpeciesEFHoverlay #species Polygon HighlyMigratorySpeciesEFH

overlaymetadataonthe

NortheastOceanDataPortal

¨CriticalHabitatDesignations Polygon CriticalHabitatDesignations

metadataontheMarineCadastre

¨HabitatAreasofParticularConcern(HAPC)

Polygon HabitatAreasofParticular

ConcernmetadatafromNOAA

NationalCoastalData

DevelopmentCenter

¨ASMFCHerringSpawningAreas Polygon ASMFCHerringSpawningAreas

metadataontheNortheastOcean

DataPortal ¨ScallopHabitatClosureAreas Polygon ScallopHabitatClosureAreas

metadatafromNOAAGARFO ¨BirdNestSites Pointdata BirdNestSitesmetadataonthe

NortheastOceanDataPortal

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 10

Component4:AreasofvulnerablemarineresourcesDatarelevanttovulnerablemarineresourcescomefrommanysources.Severalsourceswererelatedto

amanagementorregulatoryframeworkdesignedtoprotecttheresource;e.g.,CriticalHabitatsdefined

undertheEndangeredSpeciesAct.Layerswerealsoderivedfromstudiesoreffortstoquantifyspecies’

sensitivitytoaparticularstressor;e.g.,themapsofavianspecieswithhighercollisionsensitivitydueto

offshorerenewableenergy.Therefore,theavailableobservationaldataandthechosenmapping

approachmaybeskewedtowardaparticularconcern/impactandlessrepresentativeofmoregeneral

inherentvulnerability.Asaresult,thelayersinthiscategoryrangeintheirabilitytocharacterizespecies’

fragility,inherentsensitivity,andsensitivitytospecificstressors/disturbances. ForthisComponent,todate,theRPBhasreliedheavilyonexistingdataontheNortheastOceanData

Portal,andalsoobtainednewdatafromtheNewEnglandFisheryManagementCouncil'sSASIanalyses

anddeepseacoralswork,aswellastheMid-AtlanticFisheryManagementCouncil’sdeepseacorals

work.

¨=presentedontheNortheastOceanDataPortalandintheNortheastOceanPlan Datalayer Units Resolution Reference(s) Sensitivitytospecificstressors

⎯ ̈ Relativeabundanceofavian

specieswithhighercollision

sensitivity ⎯ ̈ Relativeabundanceofavian

specieswithhigherdisplacement

sensitivity

#

individuals 2kmx2km MDAT;RobinsonWillmott,J.C.,

G.Forcey,andA.Kent.2013.

TheRelativeVulnerabilityof

MigratoryBirdSpeciesto

OffshoreWindEnergyProjects

ontheAtlanticOuter

ContinentalShelf:An

AssessmentMethodand

Database.FinalReporttothe

U.S.DepartmentoftheInterior,

BureauofOceanEnergy

Management,Officeof

RenewableEnergyPrograms.

OCSStudyBOEM2013-207.

275pp.

http://www.data.boem.gov/PI/

PDFImages/ESPIS/5/5319.pdf ⎯ ¨Abundanceofcetaceanssensitive

tohigh-frequencysound ⎯ ¨Abundanceofcetaceanssensitive

tomid-frequencysound ⎯ ¨Abundanceofcetaceanssensitive

tolow-frequencysound

#

individuals 10kmx10km MDAT;Southall,B.L.,Bowles,

A.E.,Ellison,W.T.,Finneran,J.

J.,Gentry,R.L.,GreeneJr,C.R.,

…others.2008.Marine

mammalnoise-exposure

criteria:initialscientific

recommendations.

Bioacoustics,17(1-3),273–275. Habitatsensitivitytobottomtrawling

(chosenwithNEFMCtechnicalstaffto

berepresentativeofbottomeffects)

areasweptin

acell

conditioned

bythe

susceptibility

andrecovery

parameters

assignedto

thehabitat

features

inferredto

the

10kmx10km NEFMC.2011.TheSweptAreaSeabedImpact(SASI)model:Atoolforanalyzingtheeffectsoffishingonessentialfishhabitat.EssentialFishHabitat(EFH)OmnibusAmendment.NewEnglandFisheryManagement

Council,Newburyport,MA. Grabowski,J.H.,Bachman,M.,

Demarest,C.,Eayrs,S.,Harris,

B.P.,Malkoski,V.,…

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 11

Datalayer Units Resolution Reference(s) substrates

knownto

existinthat

cell(km2)

Stevenson,D.2014.Assessing

thevulnerabilityofmarine

benthostofishinggearimpacts.

ReviewsinFisheriesScience&Aquaculture,22(2),142–155.http://doi.org/10.1080/106412

62.2013.846292 Habitatsensitivitytolonglinefishing

(chosenwithNEFMCtechnicalstaffto

berepresentativeofpelagiceffects)

areasweptin

acell

conditioned

bythe

susceptibility

andrecovery

parameters

assignedto

thehabitat

features

inferredto

the

substrates

knownto

existinthat

cell(km2)

10kmx10km NEFMC.2011.TheSweptAreaSeabedImpact(SASI)model:Atoolforanalyzingtheeffectsoffishingonessentialfishhabitat.EssentialFishHabitat(EFH)OmnibusAmendment.NewEnglandFisheryManagement

CouncilNewburyport,MA. Grabowski,J.H.,Bachman,M.,

Demarest,C.,Eayrs,S.,Harris,

B.P.,Malkoski,V.,…

Stevenson,D.(2014).Assessing

thevulnerabilityofmarine

benthostofishinggearimpacts.

ReviewsinFisheriesScience&Aquaculture,22(2),142–155.http://doi.org/10.1080/106412

62.2013.846292 Fragileandinherentlysensitivespecies/habitats

MAFMCdiscretedeepseacoralzones Polygon MAFMCdiscretedeepseacoral

zonesmetadatafromNOAA

GARFO

Draftcoralamendment–Discrete

Zones(forNEFMCdeliberation) Polygon Draftcoralamendmentdiscrete

zonesmetadataonNortheast

OceanDataPortal ¨Eelgrassbeds Polygon Eelgrassmetadataon

NortheastOceanDataPortal

¨Shellfishhabitat Polygon Shellfishhabitatmetadataon

NortheastOceanDataPortal ¨Coastalwetlands Polygon Coastalwetlandsdataon

NortheastOceanDataPortal

¨Sponges Average%

ofsamples

present

10kmx10km Offshorevideosurveyand

oceanographicanalysis:

GeorgesBanktothe

Chesapeake(SMAST) ¨FishandShellfishEFHoverlay #species 10’x10’ FishandshellfishEFHoverlay

metadataontheMid-Atlantic

OceanDataPortal

¨HighlyMigratorySpeciesEFHoverlay #species Polygon HighlymigratoryspeciesEFH

overlayontheNortheastOcean

DataPortal

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 12

Datalayer Units Resolution Reference(s) ¨TotalrelativeabundanceofBCR30highest,high,andmoderatepriority

avianspecies

Relative#

individuals 2kmx2km Curtice,C.,ClearyJ.,

ShumcheniaE.,HalpinP.N.

2016.Marine-lifeDataAnalysis

Team(MDAT)technicalreport

onthemethodsand

developmentofmarine-life

datatosupportregionalocean

planningandmanagement.

Preparedonbehalfofthe

Marine-lifeDataAnalysisTeam

(MDAT).Accessed

at:http://seamap.env.duke.edu

/models/MDAT/MDAT-

Technical-Report-v1_1.pdf ¨HabitatAreasofParticularConcern(HAPC)

Polygon HabitatAreasofParticular

ConcernmetadatafromNOAA

NationalCoastalData

DevelopmentCenter ¨Scallophabitatclosureareas Polygon ScallopHabitatClosureAreas

metadatafromNOAAGARFO ¨ASMFCHerringSpawningAreas Polygon ASMFCHerringSpawningAreas

metadataontheNortheast

OceanDataPortal ¨CriticalHabitatDesignations Polygon CriticalHabitatDesignations

metadataontheMarine

Cadastre ¨BirdHabitat Polygon Birdhabitatderivedfromthe

NOAAEnvironmentalSensitivity

Index;metadataonNortheast

OceanDataPortal

DRAFTInterimGuidetoDraftDataProductsandPotentialMethodsfortheImportantEcologicalAreaFramework 13

Component5:Areasofraremarineresources Forthiscomponent,rarityisparsedintotherarityofspeciesatregionalandglobalscales.Todateand

duetodataavailability,theRPBhasreliedprimarilyonEndangeredSpeciesActstatustodeterminethe

speciesthatwererelevanttothiscomponent.Layersrepresentingindividualspecies/groupabundance

arederivedfromtheMDATmappingeffort.Allofthefollowingdatasetsarealreadypubliclyavailable

ontheNortheastOceanDataPortal. ¨=presentedontheNortheastOceanDataPortalandintheNortheastOceanPlan Datalayer Units Resolution Reference(s) Regionallyrare

⎯ ¨TotalrelativeabundanceofBCR30priorityavianspecies

⎯ ¨Totalrelativeabundanceofstate-listedavianspecies

Relative#

individuals 2kmx2km Curtice,C.,ClearyJ.,Shumchenia

E.,HalpinP.N.2016.Marine-life

DataAnalysisTeam(MDAT)

technicalreportonthemethods

anddevelopmentofmarine-life

datatosupportregionalocean

planningandmanagement.

PreparedonbehalfoftheMarine-

lifeDataAnalysisTeam(MDAT).

Accessed

at:http://seamap.env.duke.edu/m

odels/MDAT/MDAT-Technical-

Report-v1_1.pdf Globallyrare

¨AbundanceofallESA-listedcetaceans #

individuals 10kmx

10km Curtice,C.,ClearyJ.,Shumchenia

E.,HalpinP.N.2016.Marine-life

DataAnalysisTeam(MDAT)

technicalreportonthemethods

anddevelopmentofmarine-life

datatosupportregionalocean

planningandmanagement.

PreparedonbehalfoftheMarine-

lifeDataAnalysisTeam(MDAT).

Accessed

at:http://seamap.env.duke.edu/m

odels/MDAT/MDAT-Technical-

Report-v1_1.pdf ¨Roseateternannualrelativeabundance

Relative#

individuals 2kmx2km Curtice,C.,ClearyJ.,Shumchenia

E.,HalpinP.N.2016.Marine-life

DataAnalysisTeam(MDAT)

technicalreportonthemethods

anddevelopmentofmarine-life

datatosupportregionalocean

planningandmanagement.

PreparedonbehalfoftheMarine-

lifeDataAnalysisTeam(MDAT).

Accessed

at:http://seamap.env.duke.edu/m

odels/MDAT/MDAT-Technical-

Report-v1_1.pdf