1. Hendee, J.C., J. Halas, P.J. Fletcher, M. Jankulak, and L.J. Gramer. Expansion of the Coral Reef Early Warning System (CREWS) network throughout the Caribbean. Proceedings, 13th International Coral Reef Symposium, June 19-24, 2016, Honolulu, HI. International Society for Reef Studies, 526-531, 2016

    Abstract:

    The NOAA Coral Reef Early Warning System (CREWS) network is a growing number of oceanographic and meteorological monitoring stations situated at coral reef areas of critical concern. The near real-time data from these stations are archived at NOAA and form the basis of daily ecological forecasts for coral bleaching, hydrodynamic events, and other marine environmental events of interest to environmental managers, researchers, and the public. The network began over 15 years ago with NOAA funding as a station in the Bahamas, and grew to include stations in Puerto Rico, St. Croix, Saipan, and with other sources of funding, Jamaica and Little Cayman. However, storms and other realities resulted in the destruction or removal of all of those stations, excluding Little Cayman, which continues operating today as a new buoy design. A new collaboration between NOAA and the Caribbean Community Climate Change Center has resulted in the expansion of the network to include two stations each in Belize, Tobago, and the Dominican Republic, plus one in Barbados. Each of these sites has required collaborations among each country's environmental managers and agencies before agreement as to where to place the stations and as to who would be conducting maintenance. The second phase will include four to six new stations among these likely candidates: Antigua & Barbuda, Aruba, Bonaire, Cuba, Dominica, Grenada, Grenadines, Montserrat, San Andres, St. Kitts & Nevis, and St. Lucia & St. Vincent.

  2. Stamates, S.J., J.R. Bishop, T.P. Carsey, J.F. Craynock, M.L. Jankulak, C.A. Lauter, and M.M. Shoemaker. The Port Everglades flow measurement system. NOAA Technical Report, OAR-AOML-42, 22 pp., 2013

    Abstract:

    An acoustic Doppler current profiler was installed on the south side of the Port Everglades Inlet to measure the velocity of the water flow at levels starting near the surface and reaching down to near the channel bottom. The system was built using a commercial, horizontal-looking ADCP deployed in a hybrid manner to measure the vertical velocity structure. This system was calibrated so that its velocity measurements could estimate the mean channel velocity at specific depth layers by repeatedly transecting a vessel-mounted, down-looking ADCP across the channel at the location of the fixed system. The channel cross-sectional area at the location of the fixed system was measured, and a pressure sensor on the fixed system allowed the cross section of the channel to be estimated at the time of each velocity measurement. From the area and mean channel velocity measurements, an estimate of the volume transport per unit of time (Q) in a surface and deep layer was made. By integrating the Q measurements over a tidal phase, measurements of total volume transport per tidal phase in the surface and bottom layers were made. These volume estimates will be used to estimate the total seaward flux of certain substances measured by the Florida International University group during the study. Using an independent data set, the dispersion of materials advected seaward from the inlet into the coastal ocean was estimated.

  3. Hendee, J., L.J. Gramer, S.F. Heron, M. Jankulak, N. Amornthammarong, M. Shoemaker, T. Burgess, J. Fajans, S. Bainbridge, and W. Skirving. Wireless architectures for coral reef environmental monitoring. Proceedings, 12th International Coral Reef Symposium, D. Yellowlees and T.P. Hughes (eds.), Cairns, Australia, July 9-13, 2012. ARC Centre of Excellence for Coral Reef Studies, James Cook University, 5 pp., 2012

    Abstract: Over the last ten years several wireless architectures have been developed for transmitting meteorological and oceanographic data (in real-time or near real-time) from coral reef ecosystems in Florida, the Caribbean, Saipan, and Australia. These architectures facilitate establishing trends in environmental parameters and aid in ecosystem modeling and ecological forecasting. Here, existing architectures, as well as those currently in development, are described, incorporating use of Geostationary Operational Environmental Satellites, radio transceivers, wireless digital cellular modems, mobile wireless hotspots, and Android phones. Each architecture is reviewed for advantages and disadvantages, along with some examples of deployments. These summaries provide reef managers and scientists with a suite of options for monitoring, allowing the selection of the most appropriate architecture for the particular needs and capacities of each coral reef location.

  4. Hendee, J.C., L.J. Gramer, D. Manzello, and M. Jankulak. Ecological forecasting for coral reef ecosystems. Proceedings, 11th International Coral Reef Symposium, Ft. Lauderdale, FL, July 7-11, 2008. International Society for Reef Studies, 534-538, 2009

    Abstract: Assessment of coral reef ecosystems implies the acquisition of precision data and observations appropriate for answering questions about the response of multiple organisms to physical and other environmental stimuli. At the National Oceanic and Atmospheric Administrations Atlantic Oceanographic and Meteorological Laboratory, we model marine organismal response to the environment in terms of a Stimulus/Response Index (S/RI). S/RI is computed using an approach called heuristic programming, from parameters bounded in subjective terms, which are defined numerically by comparing historical data with expert opinion, so as to match research and our understanding of the process in question. The modeled organismal response is called an ecological forecast, or ecoforecast, and relative possibility and intensity of the response is reflected in a rising S/RI. We have had success to date in modeling coral bleaching response to high sea temperatures plus high irradiance and other parameters. The approach requires, a) highly robust instrumentation (in situ, satellite, or other) deployed for long periods and producing high quality data in near real-time, b) a basic understanding of the process, behavior and/or physiology being modeled, and, c) a knowledge of approximate threshold levels for single or synergistically acting environmental parameters that elicit the phenomenon in question.

  5. Jankulak, M., J.C. Hendee, and M. Shoemaker. The instrumental architecture of a Coral Reef Early Warning System (CREWS) station. Proceedings, 11th International Coral Reef Symposium, Ft. Lauderdale, FL, July 7-11, 2008. International Society for Reef Studies, 544-548, 2009

    Abstract: The Integrated Coral Observing Network (ICON) program has constructed and installed a series of Coral Reef Early Warning System (CREWS) stations which provide a wealth of high-quality meteorological and oceanographic data in near real-time. CREWS stations date back to 2001 with the deployment of an early buoy-type design in the Bahamas. Beginning in 2002, the program shifted to a pylon-type design which was reengineered in 2005, resulting in the modern CREWS stations found in the Bahamas, Puerto Rico, the U.S. Virgin Islands and Jamaica. The CREWS instrumentation architecture described herein has evolved over time into a robust package that, combined with a regimen of regular instrument cleaning and recalibration, has yielded a continuous, long-term, high-quality dataset from these harsh marine environments.

  6. Manzello, D.P. M. Warner, E. Stabenau, J. Hendee, M. Lesser, and M. Jankulak. Remote monitoring of chlorophyll fluorescence in two reef corals during the 2005 bleaching event at Lee Stocking Island, Bahamas. Coral Reefs, 28(1):209-214, doi:10.1007/s00338-008-0455-7 2009

    Abstract: Zooxanthellae fluorescence was measured in situ, remotely, and in near real-time with a pulse amplitude modulated (PAM) fluorometer for a colony of Siderastrea siderea and Agaricia tenuifolia at Lee Stocking Island, Bahamas during the Caribbean-wide 2005 bleaching event. These colonies displayed evidence of photosystem II (PS II) inactivation coincident with thermal stress and seasonally high doses of solar radiation. Hurricane-associated declines in temperature and light appear to have facilitated the recovery of maximum quantum yield of PS II within these two colonies, although both corals responded differently to individual storms. PAM fluorometry, coupled with long-term measurement of in situ light and temperature, provides much more detail of coral photobiology on a seasonal time scale and during possible bleaching conditions than sporadic, subjective, and qualitative observations. S. siderea displayed evidence of PS II inactivation over a month prior to the issuing of a satellite-based, sea surface temperature (SST) bleaching alert by the National Oceanic and Atmospheric Administration (NOAA). In fact, recovery had already begun in S. siderea when the bleaching alert was issued. Fluorescence data for A. tenuifolia were difficult to interpret because the shaded parts of a colony were monitored and thus did not perfectly coincide with thermal stress and seasonally high doses of solar radiation as in S. siderea. These results further emphasize the limitations of solely monitoring SST (satellite or in situ) as a bleaching indicator without considering the physiological status of coral-zooxanthellae symbioses.

  7. Hendee, J.C., L. Gramer, D.P. Manzello, and M. Jankulak. Integrating near real-time data for coral reef ecological forecasting. Proceedings of the Gulf and Caribbean Fisheries Institute, 59:525-528, 2008

    Abstract: The National Oceanic and Atmospheric Administration (NOAA) has committed to integrating ocean data from a variety of sources into an Integrated Ocean Observing System, and to work towards operational ecological forecasting as part of its Ecosystem Approach to Management. Consistent with this, NOAA's Coral Reef Conservation Program has committed to integrating coral data from a variety of sources for the specific benefit of coral reef researchers and Marine Protected Area (MPA) managers; and NOAA's Atlantic Oceanographic and Meteorological Laboratory, together with its NOAA and University of Miami partners, are contributing to this goal through their Integrated Coral Observing Network (ICON) project. ICON provides Web-based software to integrate satellite, monitoring station (in situ), and radar data sources in near real-time; and utilizes an inference engine (artificial intelligence software) to provide ecological forecasts using some or all of these data. The capabilities of ICON software are currently being focused upon one area in particular, Molasses Reef in the Florida Keys National Marine Sanctuary, to provide proof-of-concept, and to provide a "discovery prototype" for consideration by the MPA managers assembled at the GCFI conference. Feedback to ICON developers from MPA managers--based upon their own specific management requirements and priorities, and knowledge of the prototype capabilities--is essential to set priorities and enable additional ICON software engineering specifically tailored to MPA managers' needs. Featured in the prototype are several levels of user access: layperson, researcher, site maintainer, MPA manager, and software developer colleague. Depending upon user access, information products can include recent and historical single-source and integrated data output, custom graphics output, and ecological forecasts for coral bleaching, coral spawning, upwelling, pollution impacts and larval drift.

  8. Hendee, J.C., L. Gramer, J.A. Kleypas, D.P. Manzello, M. Jankulak, and C. Langdon. The Integrated Coral Observing Network (ICON): Sensor solutions for sensitive sites. Proceedings, Third International Conference on Intelligent Sensors, Sensor Networks, and Information Processing, Melbourne, Australia, December 3-6, 2007. Institute of Electrical and Electronics Engineers (IEEE), 669-673, doi:10.1109/ISSNIP.2007.4496923 2008

    Abstract:

    The National Oceanic and Atmospheric Administration's (NOAA) Integrated Coral Observing Network (ICON) has been operational since 2000 and works closely with most U.S. Government and many international environmental partners involved in coral reef research. The ICON program has pioneered the use of artificial intelligence techniques to assess near real-time data streams from environment sensor networks such as the SEAKEYS Network (Florida Keys), the Australia Institute of Marine Science Weather Network, NOAA's Coral Reef Ecosystem Division network in the Pacific, and its own Integrated Coral Observing Network (ICON) of stations in the Caribbean. Besides its innovative approach to coral monitoring station deployments, the ICON program recently pioneered techniques for the near real-time integration of satellite, in situ, and radar data sources for purposes of ecological forecasting of such events as coral bleaching, coral spawning, upwelling, and other marine behavioral or physical oceanographic events. The ICON program has also ushered in the use of Pulse-Amplitude-Modulating fluorometry to measure near real-time physiological recording of response to environmental stress during coral bleaching, thus providing even better ecological forecasting capabilities through artificial intelligence and data integrative techniques. Herewith, we describe these techniques, along with a report on new coral calcification instrumentation augmenting the ICON Network sensor array.