Dr. Paul Jokiel Dr. Kuulei Rodgers Hawaii Institute of Marine Biology Department Of Oceanography School of Ocean and Earth Science and Technology University Of Hawaii Mr. Eric Brown National Park Service Box 2222 Kalaupapa, HI 96734 808-567-6802, ext 40 Unknown http://data.nodc.noaa.gov/accession/0039383 This dataset consists of CRAMP Rapid Assessment Transect surveys taken in 2006 and includes quantitative estimates of substrate type and species. In 2006, there were 8 sites surveyed on Maui. Surveys typically consist of shallow (~3m) and deep (~10m) lines. The types and coverages were derived objectively from photographic images using PhotoGrid, a software package which analyzes random points on images of coral reefs and substrate. This dataset does not include the images from the transects, which have been provided to NOAA separately. To understand the ecology of Hawaiian coral reefs in relation to other geographic areas and to monitor change at each given site. NOAASupplemental: Entry_ID: Unknown Sensor_Name: digital camera Source_Name: SCUBA Project_Campaign: Coral Reef Assessment and Monitoring Program (CRAMP) Originating_Center: Hawaii Institute of Marine Biology Storage_Medium: CSV ASCII Reference: None Online_size: 5104 kilobytes SITE LAT LONG ISLAND SITE CODE NAME MaHoN08m 21 00.923 156 38.343 8.00 Maui Honolua North MaHoS03m 21 00.831 156 38.380 3.00 Maui Honolua South MaKah03m 20 56.257 156 41.595 3.00 Maui Kahekili MaKah07m 20 56.274 156 41.623 7.00 Maui Kahekili MaKaP03m 20 36.089 156 26.214 3.00 Maui Kanehena Pt. MaKaP10m 20 36.070 156 26.280 10.00 Maui Kanehena Pt. MaKaB01m 20 37.049 156 26.241 1.00 Maui Kanehena Bay MaKaB03m 20 37.015 156 26.301 3.00 Maui Kanehena Bay MaMaa03m 20 47.378 156 30.607 3.00 Maui Maalaea MaMaa05m 20 47.332 156 30.596 5.00 Maui Maalaea MaMol08m 20 37.889 156 29.795 8.00 Maui Molokini MaMol13m 20 37.940 156 29.783 13.00 Maui Molokini MaOlo03m 20 48.505 156 36.693 3.00 Maui Olowalu MaOlo10m 20 48.363 156 36.733 10.00 Maui Olowalu MaPua03m 20 51.369 156 40.033 3.00 Maui Puamana MaPua10m 20 51.322 156 40.111 10.00 Maui Puamana Resource Description: NODC Accession Number 0039383 20060622 20061212 ground condition Complete Unknown -156.6937167 -156.4369 21.015383 20.631483 ISO 19115 Topic Category environment 007 biota 002 CoRIS Discovery Thesaurus Numeric Data Sets > Benthic CoRIS Theme Thesaurus EARTH SCIENCE > Biosphere > Aquatic Habitat > Benthic Habitat EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment EARTH SCIENCE > Oceans > Coastal Processes > Coral Reefs None Coastal studies, Coral reef monitoring and assessment, substrate type, coral reef species, taxa name and code, corals and algae percent coverage None Pacific Ocean Hawaii Maui CoRIS Place Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Maui Island (20N156W0004) OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui Island > Maui Island (20N156W0004) OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui > Puamana (20N156W0018) OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui Island > Olowalu (20N156W0006) COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Puamana (20N156W0018) COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Olowalu (20N156W0006) CoRIS Region MHI None Benthic None Dataset credit required Dr. Paul Jokiel Hawaii Institute of Marine Biology University of Hawaii Principal Investigator mailing address

P.O. Box 1346

Kaneohe Hawaii 96744 USA 808-236-7440 jokiel@hawaii.edu Department of Commerce, National Oceanic and Atmospheric Administration, Hawaii Coral Reef Initiative, National Ocean Service, United States Geological Survey, State of Hawaii, Department of Land and Natural Resources, Division of Aquatic Resources, Kahoolawe Island Reserve Commission, United States Fish and Wildlife Service, Coastal Program, Limahuli National Botanical Garden, Save Our Seas ASCII text, Comma-separated version (CSV) format see Process Step The 2006 surveys were 100% complete Quantitative Rapid Assessment Technique (RAT) Protocol The CRAMP Assessment Protocol RAT is a highly abbreviated version of the CRAMP monitoring protocol, consisting of a single fish transect, a single benthic transect, a rugosity measurement, a sediment sample and various qualitative habitat observations. The assessment protocol is designed to produce quantitative spatial data that is consistent with and comparable to data taken at the permanent monitoring sites. The power of the RAT lies in large numbers of replicates taken over the spatial range of a given habitat. The assessment program expands our ability to describe habitats and spatial distributions of Hawaiian reef organisms in relation to various environmental factors. However, the assessment protocol requires a small fraction of the human effort and cost per site. This is critical due to the large number of sites needed to describe habitats along the entire coast of Hawaii. Considerable time saving is achieved because no permanent transect markers are needed and no permanent photo-quadrats are installed. Assessment data can be used with monitoring data for spatial comparisons, but the benthic assessment data does not have the statistical power needed to establish temporal change with the degree of precision involved in the monitoring effort unless an extremely large number of RATs are performed in a small area or repeatedly over time. All of the CRAMP long-term monitoring sites have been established on hard bottom in coral habitats stratified at depths of 3 m and 10 m. In contrast, the RAT is used in all coral reef ecosystem habitats and at all depths being mapped. The reef fish sampling method used in the RAT is identical to the monitoring method, but only one 25m x 5 m transect is measured. The benthic sampling effort is the same as used at the monitoring sites, but reduced to a single 10 m transect that only has sufficient power to describe habitat differences. The RAT requires the use of two divers to conduct the full survey (fish, benthic video recording, rugosity measurement, sediment and observations) in a single short dive. In contrast, establishing the monitoring sites took a team of 6 divers multiple dives to install and conduct the initial monitoring of the site. Data entry time for the assessment method is reduced to less than 2 person-hours per site for the assessment method compared to more than 20 person-hours for the monitoring sites. The monitoring site protocol must have sufficient statistical power to detect a less than 10% change in coral cover between samplings. The assessment protocol only requires sufficient statistical power to allow quantitative description of a given habitat. Generally from 3 to 7 RATs are needed to describe a given habitat. 1. Location of the assessment site is pre-determined using the habitat maps and other information to develop the experimental design. A stratified random sample is selected from within each habitat. Latitude and longitude are determined for each rapid assessment site and entered as way points into the GPS. 2. A field team consisting of 2 divers navigates to way point using GPS, marks the location with a lead weight and float and accurately establishes the location using GPS measurements. Divers descend together. Diver 1 carries one 25 m transect line. Diver 1 begins fish transect starting at the marked way point and moves along depth contour. The fish count method is identical to that described above for the monitoring method. Diver 2 carries digital video system and rugosity chain. As diver 1 lays out transect line, diver 2 video records the general environment through the full 360-degree panorama at the starting point. Diver 2 then begins to video one 10 m transect selected at random along the 25 m fish transect line. Diver 2 also runs rugosity on the the 10-m transects. Diver 1 completes the fish transect and assists Diver 2 in completion of the rugosity, sediment sampling and general observations. This produces a data set similar to the monitoring sites but with only one fish transects. 3. Data entry takes about half an hour for the fish data, less than needed for fish data taken at the monitoring sites. The major time saving is on the benthic sampling data. No permanent photo-quadrats are involved. Only one transect is sampled with PhotoGrid. The entire procedure will require less than 3 hours of analysis time per transect. (Note, no fish data in this dataset-- only benthic). Brown, E, E Cox, B Tissot, K Rodgers, and W Smith (1999). Evaluation of benthic sampling methods considered for the Coral Reef Assessment and Monitoring Program (CRAMP) in Hawaii. International Conference on Scientific Aspects of Coral Reef Assessment, Monitoring, and Restoration. April 14-16, Ft. Lauderdale, FL. Green, R H and S R Smith (1997). Sample program design and environmental impact assessment on coral reef. Proc 8th International Coral Reef Symposium. 2: 1459-1464. McCormick, Mark 1994. Comparison of field methods for measuring surface topography and their associations with a tropical reef fish assemblage. Marine Ecology Progress Series 112: 87-96. Unknown Dr. Paul Jokiel Hawaii Institute of Marine Biology University of Hawaii Principal Investigator mailing address

P.O. Box 1346

Kaneohe Hawaii 96744 USA 808-236-7440 jokiel@hawaii.edu Original data received as CSV (ASCII) files, which are derived from output of PhotoGrid for all surveyed lines. Directory tree is as follows: data/ 0-data/ this denotes original files/directories as received by NODC 06"site-name"/ site name such as Honolua (06 is the year) transect_name/ example, 06MaHoNO8m transect_name.DATA/ data directory transect_name.CSV/ *note, transect name template: Convention is yyIISSSDDm yy : last two digits of year II : island SSS : site (see STATIONS above) DDm : depth in meters CSV Filename template: Convention is yyIISSSDDmTT (in some cases, c_ prefixes the filename) yy : last two digits of year II : island SSS : site (see STATIONS above) DDm : depth in meters TT : transect number (sometimes TT is left off if only one transect, and sometimes .SI is suffixed). Fields in these files: Site Name - usually NA (not available) Station - usually NA Frame No - usually NA Image Date - usually NA, get survey (image) date from filename ID Name - equivalent to TaxonName in PointCount99, this is the species recorded but for some organisms if not identifiable to the species or even genus level then just to taxanomic level ID Code - usually NA The following are PhotoGrid parameters equivalent to PointCount parameters of the same name. Point - Point number on the frame X - X coordinate on the image for each point Y - Y coordinate on the image for each point Intensity - value for the point Red - RGB value on the image Green - RGB value on the image Blue - RGB value on the image Notes from Kuulei Rodgers concerning these parameters: "Point X and Y are the coordinates for each of the 50 points that are generated on an image. This way if you want to go back and check if it is correct or what someone called some organism it will regenerate the frame with the random points that were originally used. If for example you see Pavona maldivensis and want to see if that is correct because you don't think it is at that site and may have been interpreted, you can go back and look at point number 7 to see what is under it. The program will use the coordinates to reconstruct the original random points on that frame. Red, Green and Blue are just the exact colors as the person who first did the analysis saw it. Since you can adjust the color balance and the contrast, the program saves the adjustments so it can be revisited if need be later." Filename - this is a critical parameter. It is the name of the image file. Convention is yyIISSSDDmTTFFF, yy : last two digits of year II : island SSS : site (see STATIONS above) DDm : depth in meters TT : transect number FFF : frame number The remaining parameters can be ignored and are usually NA: Total Points,ID Date,Site ID,Site Code,Time Code,Institution,User Name,Habitat,WQS,Length,Depth Potential frequently asked question: -The CRAMP website lists available benthic data parameters: coral and substrate cover. Can these be derived from the PhotoGrid data given? How? Reply from Ku'ulei Rodgers: We use ACCESS, a relational database that calculates these for us but it can be done in EXCEL as well by sorting alphabetically and deriving a percent of the total for each substrate type. For example if you have 10 points that are Porites compressa and there are 20 frames with 50 points on each, this would be 10 out of 1000 points for the whole transect so 1% cover. This is then done for each substrate type. Then all the coral species percentages are added together for a total coral cover number. Note, 06Honolua/06MaHoN08m has a different type CSV file. In this file, field=Species is equivalent to ID Name above. None NOAA/NESDIS/National Oceanographic Data Center Data Access Group, User Services Team mailing and physical

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