11th ICRS Abstract book - Nova Southeastern University
11th ICRS Abstract book - Nova Southeastern University
11th ICRS Abstract book - Nova Southeastern University
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Poster Mini-Symposium 17: Emerging Techniques in Remote Sensing and Geospatial Analysis<br />
17.557<br />
Reef Mapping Technologies For Marine Management in Brazil And Belize<br />
John MUSINSKY 1 , Debra FISCHMAN* 1 , Daniel KLEIN 2 , Guilherme Fraga DUTRA 3 ,<br />
Rodrigo MOURA 4 , Phillip LOBEL 5 , Peter STETSON 5 , Alex BASTOS 6 , Ruy KIKUCHI 7<br />
1 Center for Applied Biodiversity Science, Conservation International, Arlington, VA,<br />
2 Conservation International Brazil, Caravelas, Brazil, 3 Conservation International Brazil,<br />
Ondina, Salvador, Brazil, 4 Conservation International Brazil, Caravelas, BA, Brazil,<br />
5 Department of Biology, Boston <strong>University</strong>, Boston, MA, 6 Department of Geology,<br />
Universidade Federal do Espírito Santo, Goiabeiras, Vitória, Espírito Santo, Brazil,<br />
7 Instituto de Geociências, Universidade Federal da Bahia, Salvador, BA, Brazil<br />
This poster describes and compares different types of reef and inter-reefal mapping and<br />
monitoring technologies being used to support the Marine Management Area Science<br />
Program, a scientific effort coordinated by Conservation International seeking to<br />
understand and improve management effectiveness and design of marine management<br />
areas. In two study areas, the Abrolhos Bank (Brazil) and the Mesoamerican reef<br />
(Belize), a combination of high-resolution optical satellite imagery, side-scan sonar,<br />
multi-beam echo sounder, remotely operated vehicle (ROV), and SCUBA dives (for<br />
video and photographic records) are being used to map and validate classification of<br />
shallow (up to 20 meters) and mid-depth (up to 100 meters) coralline and inter-reefal<br />
habitats. These technologies were chosen for: 1) their ability to map extensive<br />
geographic areas; 2) their capacity to provide high-quality information; 3) their suitability<br />
to the varying environmental conditions of the reef and inter-reefal areas; and 4) cost and<br />
availability. For shallow coral reef systems, QuickBird and IKONOS satellite images are<br />
being used to classify fine-scale biophysical characteristics (e.g. macroalgae, corals, sand,<br />
mud) and create a baseline map for long-term monitoring of these reefs. We are<br />
systematically sampling deeper benthic habitats with side-scan sonar profilers and<br />
acoustic doppler topographic survey devices to detect potential reef structures and map<br />
bottom types. Anomalies and prominent features (e.g. pinnacles, channels) identified in<br />
the acoustic mapping surveys are subsequently ground-truthed using SCUBA dives to 60<br />
m and ROV coupled to video cameras to 100 m. Comparisons between the technologies<br />
used and their appropriateness for the different habitat mapping objectives are discussed.<br />
17.558<br />
Habitat Isolation Negatively Influences Reef Fish Populations Of A Hawaiian Atoll<br />
Erik FRANKLIN* 1<br />
1 Hawaii Institute of Marine Biology, <strong>University</strong> of Hawaii, Kaneohe, HI<br />
Experimental studies have demonstrated that reef fish richness and abundance tend to be<br />
greater on more isolated reefs. The relatively small spatial scale of these experimental<br />
studies may have led to results not applicable to the scales and distribution of natural reef<br />
areas. A thematic benthic habitat map derived from an IKONOS satellite image was used<br />
to define a sampling domain to test a hypothesis regarding the influence of isolation on<br />
reef fish among natural reef habitats. Fish populations associated with fourteen reef<br />
patches of similar size and biogeomorphological characteristics were surveyed within the<br />
lagoon at Midway Atoll in July 2007. Reef fish populations were assessed using a visual<br />
belt transect method that recorded the size and species of each individual. In contrast to<br />
other studies, a gradient of decreasing abundances and fish sizes coincided with greater<br />
habitat isolation. The trend in species richness with isolation was not as strong. These<br />
results suggest that habitat isolation can have a negative effect on fish communities if<br />
examined at spatial scales that may better reflect the inaccessibility of adjacent habitat<br />
patches from the reef fish perspective.<br />
17.559<br />
Assessing Florida and Hawai'i coral reef ecosystem health using a GPS-based underwater<br />
video mapping system<br />
Paul AYERS* 1 , Rebecca MESSER 1<br />
1 <strong>University</strong> of Tennessee, Knoxville, TN<br />
Assessing and monitoring coral reef ecosystem health is essential for understanding immediate<br />
and long-term environmental impacts. An Underwater Video Mapping System (UVMS) is a<br />
technique to acquire Global Positioning System (GPS)-based georeferenced underwater images<br />
that allow mapping of underwater features. The system automatically interfaces the GPS and<br />
underwater video image providing a location for each picture. Using the UVMS, underwater<br />
features essential for assessing and monitoring coral reef ecosystem health can be acquired and<br />
mapped using Geographic Information System (GIS).<br />
The UVMS was used to acquire georeferenced underwater images in sections of the coral reef<br />
ecosystem in Moloka'i, Hawaii and Biscayne National Park (BISC), Florida. In BISC,<br />
increasing swath width from 20 meters to 40 meters decreased substrate map accuracy from<br />
93.4% to 73.6%. In Moloka'i, dense coral was observed for 40% of the transect, and sand with<br />
algae represented 13% of the survey site.<br />
In addition to mapping of substrate conditions, factors contributing to the assessment of coral<br />
reef health were identified and mapped. These features include marine debris (discarded items<br />
including ropes, traps, etc.), coral damage (from boat, anchor, etc.), coral disease and other<br />
health issues (i.e. black band disease). In the 0.2 square km survey within BISC, 8 locations of<br />
black band disease were recorded. In a 1.7 km transect over Pacific Reef, 9 observation of<br />
marine debris were mapped.<br />
The UVMS is a useful tool for providing large-scale assessments of the coral ecosystem health,<br />
and identifying areas that need further detailed investigation. It also provides a georeferenced<br />
video history of coral health and an opportunity to resurvey the same coral reef ecosystem and<br />
monitor health changes.<br />
17.560<br />
Comparison Of A Benthic Terrain Model To Benthic Habitat Classification Maps Of<br />
Moloka‘i, Hawai‘i, Usa<br />
Susan A COCHRAN* 1<br />
1 USGS Pacific Science Center, Santa Cruz, CA<br />
A study was undertaken to compare modeled morphological complexity of a coral reef to<br />
benthic habitat maps to investigate patterns of habitat preference. Using the Benthic Terrain<br />
Modeler (BTM), an extension created for ArcGIS by the joint efforts of the seafloor-mapping<br />
lab at Oregon State <strong>University</strong> and NOAA’s Coastal Services Center (Wright and others, 2005),<br />
a benthic terrain model of the fringing coral reef on the south shore of Moloka‘i was created<br />
from high-resolution SHOALS lidar bathymetric data (~2.5 m spacing between data points).<br />
The BTM classifies data based on a combination of slope (a first-order derivative of<br />
bathymetry), broad- and fine-scaled bathymetric position indices (BPIs, second-order<br />
derivatives of bathymetry) describing the depth of a specific point relative to the surrounding<br />
bathymetry, along with rugosity, and produces grid layers of terrain-based zones and structures.<br />
Modifications were made to the default classification scheme provided with the BTM tool to<br />
better reflect the changes in depth and slope found on the Moloka‘i fringing reef.<br />
The results from the BTM were compared to high-resolution (100 m 2 Minimum Mapping Unit)<br />
benthic habitat classification maps of Moloka‘i (Cochran-Marquez, 2005), to determine<br />
relationships between mapped benthic habitats and modeled BPI structures. Areas that were<br />
mapped with high coral cover were found to be the areas of highest morphological complexity<br />
in the terrain-based model. Establishing associations between benthic coverage (and in some<br />
instances percent cover) and modeled structures and zones will allow users to extend mapping<br />
capabilities to areas where field validation of remotely-sensed underwater resources is limited.<br />
403