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11th ICRS Abstract book - Nova Southeastern University

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Poster Mini-Symposium 16: Ecosystem Assessment and Monitoring of Coral Reefs - New Technologies and Approaches<br />

16.534<br />

The Installation of a Coral Reef Early Warning System (CREWS) Monitoring<br />

Station<br />

Jules CRAYNOCK* 1 , Michael SHOEMAKER 1 , Nancy ASH 1 , Mike JANKULAK 2 ,<br />

James HENDEE 1<br />

1 Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and<br />

Atmospheric Administration, Miami, FL, 2 Cooperative Institute for Marine and<br />

Atmospheric Sciences, <strong>University</strong> of Miami, Miami, FL<br />

CREWS monitoring stations offer several advantages over traditional buoy monitoring<br />

stations, including ease of deployment and maintenance, high bandwidth to accommodate<br />

large number of instruments, modular components for maintenance, and dynamic<br />

strength against wind and waves. The process of CREWS station installation is described<br />

in five stages: 1) site survey and permit processing, 2) bottom pin and plate installation,<br />

3) pylon pre-deployment construction finalizing, 4) pylon installation to the ocean floor<br />

and bottom plate, and, 5) electronics installation and testing. Subsequent to the<br />

installation, a special training session is conducted with local station maintainers to<br />

ensure continuance of data transmission of the highest integrity. The use of specialized<br />

instrumentation, as well as total cost and logistical considerations are discussed.<br />

16.535<br />

Coral Point Count With Excel Extensions (Cpce) V3.5: Improvements To Software<br />

For The Analysis Of Coral And Substrate Coverage Using The Random Point<br />

Count Method And Planar Area Calculation<br />

Kevin KOHLER* 1<br />

1 National Coral Reef Institute, <strong>Nova</strong> <strong>Southeastern</strong> <strong>University</strong> Oceanographic Center,<br />

Dania Beach, FL<br />

Coral Point Count with Excel Extensions (CPCe) is a standalone Windows-based<br />

program which automates the random point count method using underwater imagery to<br />

determine coral and substrate coverage. Additionally, CPCe uses image calibration to<br />

calculate planar areas and lengths of benthic features. CPCe has been made available to<br />

the coral reef community since 2004. Since the time of its release, CPCe has been met<br />

with great enthusiasm from researchers worldwide, and has been continually updated and<br />

improved with additional features suggested by users. These improvements have<br />

enhanced the usability and functionality of the software. The current version of CPCe<br />

(V3.5) contains several significant improvements over prior versions. CPCe allows users<br />

to specify a customized coral code file containing species and habitat listings appropriate<br />

for their region of interest. The program now contains an enhanced code file checker<br />

which allows users to quickly recognize and fix errors in the code file. The area analysis<br />

portion of the program has also been updated with several new features. First, CPCe now<br />

contains an optional mini-zoom function which magnifies the pixels surrounding the<br />

tracing cursor, allowing users to make more accurate traces. Second, V3.5 introduces the<br />

concept of master and subordinate areas which allows the specification of an<br />

encompassing area with the ability to subtract areas of internal regions. Third, the area<br />

data can now be exported into Excel spreadsheets automatically. These improvements<br />

make CPCe V3.5 a very robust tool for calculating coral and substrate coverage in an<br />

efficient manner.<br />

16.536<br />

The Construction Process Of A Coral Reef Early Warning System (Crews) Pylon<br />

Michael SHOEMAKER* 1 , Jules CRAYNOCK 1 , Manuel COLLAZO 2 , James HENDEE 1<br />

1 Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric<br />

Administration, Miami, FL, 2 Rosenstiel School of Marine and Atmospheric Sciences,<br />

<strong>University</strong> of Miami, Miami, FL<br />

Hollow extruded Fiberglas tubes, 12.5 m long and 25 cm in diameter, have been custom<br />

engineered and strengthened to serve as meteorological and oceanographic monitoring stations<br />

that move dynamically with wind and waves, and serve as platforms for robust instrumentation<br />

that monitor and transmit data hourly through a GOES satellite to NOAA's Atlantic<br />

Oceanographic and Meteorological Laboratory in Miami, Florida. These monitoring platforms,<br />

nicknamed Coral Reef Early Warning System (CREWS) stations, undergo a construction<br />

process of approximately 350 man hours, which includes the special fabrication of a "step" for<br />

insertion of the station on a pre-installed stainless steel plate-and-ball, the interior placement of<br />

conduit housing for cable runs between instrument and data acquisition hardware, specialized<br />

component fabrication and re-attachment to the pylon, custom bulkhead and instrument bracket<br />

fabrication, installation of an internal radar reflector, partial fill of buoyancy material, and many<br />

other specialized tasks. The stations are eventually carefully situated within coral reef<br />

ecosystems that meet specific criteria. These stations have been installed at four sites (Lee<br />

Stocking Island, Bahamas; Salt River, St. Croix; La Parguera, Puerto Rico; and Discovery Bay,<br />

Jamaica) and have operated with high reliability with the assistance of local site maintainers and<br />

biological observers. One of the stations has withstood tropical storm force winds (Bahamas),<br />

and one a hurricane (Jamaica). The stations offer special advantage over buoys, but are meant<br />

for shallow deployment (~ 6 m).<br />

16.537<br />

Getting To The Point: Accuracy Assessment Of Point Counting To Monitor Degrading<br />

Reefs<br />

Eric PANTE* 1 , Phillip DUSTAN 2<br />

1 Biology, <strong>University</strong> of Louisiana at Lafayette, Lafayette, LA, 2 Biology, College of Charleston,<br />

Charleston, SC<br />

The statistical behavior of cover estimation on coral reefs by pointcounting was assessed using<br />

a simple computer simulation, modeled after actual benthic data from a small Bahamian patch<br />

reef surveyed using 20 m video line transects. The simulations revealed that estimating true<br />

variation in cover within a benthic population appears to require more effort than estimating<br />

true mean cover. The probability of under or overestimating cover and/or cover variance along<br />

a 20 m transect decreases with increasing number of points per frame. The minimum number of<br />

random points necessary to accurately estimate cover and its variation increases with decreasing<br />

cover. Therefore, coral reefs with lower cover and less heterogeneous populations require an<br />

increased number of points. These results, corroborated using video data from the USEPA-<br />

CRMP in the Florida Keys, strongly suggest that careful consideration must be given to<br />

sampling design and data analysis prior to attempting to estimate benthic cover, especially in<br />

the context of monitoring temporally degrading coral reef ecosystems.<br />

397

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