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text:
onsar ein cludedh ere aseit her C o P Iso rcoll ab orators andthes eindi vidualswill alsos erve on our MTAG These inclu de r epres entatives f rom OCNMS MB NMS NOAA NM FS WD FW WDNR P S R F and the U S Fish and Wil dli fe S ervice US FWS The e ff ic acy of th ese meeti ngs will benefit from the exp erienc e and n etworks of C o P Is Mey er Lonha rt Toft C arr and Novak to ensure project objecti ves field and analyt ical methods and products are all fo cused upon relevant qu esti ons and methods for ef fecti ve c oastal management and conservati on a cti vit ies B iannualMTAGmeeti ngswill occurinthespri ngandfall attheS eatt leAquarium andinaddit ion to our C o mul ti pleenti ti esalreadyestablis hedtooverseeco astalspeciesandhabit atwithi nOCNMS andthe 19 broader st ate of Washin gton including the Int e rgovernmental P oli cy C ounsel the S anctuary Advisory C ouncil and the Washing ton C oastal Marine Advisory C omm it tee Co P I R andell comm it s to engage with these exist ing oversight

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text:
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text:
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text:
c sofspe ciesandtheecosy stemstheyconst it ute The proposed st udy is ce ntral t o answering thes e questi ons and achieving t hese objecti ves 5 1 UxS AI an d the fu ture of MPA an d k elp forest su rv eil lan ce in a ch an gin g clim ate 20 One of the cent ral chall e nges to sizing moni toring and assessing MP A efficacy is the li mi tation ofcur rentl yav ail abledat a andemergingUnm ann edS ystems UxS hav et hepotentialtor adicall y alt er the spati al r esolut ion and extent to whi ch we m ap the benthos AUVs hav e y et to be syst ematicall y int egrated int o temperate MP A or kelp forest moni toring pr ograms though re cent work has started to test t his prospect for longi tud inal studi es in co ral r ee fs Brown et al 2019 and a re cent mul ti state mul ti enti ty R OV methodology working group identified UxS as a key futuredirecti on H amele tal 2020 OurtestsofAUVsurveyparameters andtheimplementat ion of AUV kelp forest surveys at scale

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text:
and our scrutiny of the taxonomic resolut ion attai n able from machine learning class i fi cati on of AUV ROV d iver imagery w il l direc tl y contri bute to the advancem ent of MPA an d kelp f orest s urveil lance analysis and evaluat ion In addit iontocontribut ingtoMP Asurveil lancemethods andpursuantto H R 8632 Titl e II S ec 205 pag e46 MarineB iodi versityGapA nalysi s viaAUV R OV d iverphotographicand AUV a coust ic im age ry we will map abundanc e s biodi versity fine sc al e habit at f eatur es and species habit at associ ati ons in coastal kelp forests withi n and around OCNMS This will directl y contribut e to MP A sizin g by im aging the mann er in which fine scale h abit at cha racte risti cs abundanc es and species habit at associati ons v ary across spac e including along depth gr adients B y buil ding thi s int o the design of a long term moni toring program we will track how thes e patt erns and depth dist ributi ons change through ti me S

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text:
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text:
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text:
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