site selection for coral restoration in maunaluabay, …
TRANSCRIPT
SITE SELECTION FOR CORAL RESTORATION IN MAUNALUA BAY, OʻAHU
ANITA TSANG, CAMERON OGDEN-FUNG, AND VAIBHAVI DWIVEDI
Photo credit: Nate Forman 1
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RESEARCH OBJECTIVES
1) Evaluate site criteria
2) Identify ecologically suitable restoration sites for the outplanting of resilient corals
3) Prioritize sites across multiple socioeconomic objectives and scenarios
SITE CRITERIA
Physical Factors
Water Depth (3-9 m) Water Temperature (23-29 °C)Salinity (32-42 ppm)Turbidity (<8.8 NTU)Sedimentation (<200 g/m²/day)Benthic Type (Hard bottom)
Biological FactorsCoral Cover (5-20%)Coral Health (Absent of disease)Invasive Algae (Absent)
Socioeconomic Factors
Distance from:Boat launch (<2 km)Dive site (<2 km)Coral nursery (<2 km)Pollutant sources (>1 km)
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Source: Salinity and turbidity data taken from the United States Geological Survey (USGS) technical reports; Bathymetry map provided by The School of Ocean and Earth Science and Technology (SOEST)
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SALINITY AND TURBIDITY MAP
Source: Temperature data retrieved from USGS technical report; Sewage discharge sites, dive sites, and pre-proposed restoration areas were estimated using Google Earth
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TEMPERATURE MAP
Site Criteria Sub-CriteriaSites
Wailupe Paiko Channel Ku‘i Alternate1 Alternate 2 Alternate 3
Physical Factors
Water Depth (m) 3-6 3-8 3-6 0-3 3-8 3-9 3-8
Water Temperature (°C) n.d. 25.25 25.13 n.d. 25.36 25.22 n.d.
Salinity (ppm) n.d. 35.04 35.12 n.d. 35.04 35.02 n.d.
Sedimentation (g/m²/day)
n.d. n.d. n.d. n.d. n.d. n.d. n.d.
Turbidity (NTU) n.d. 0.54 n.d. n.d. 1.19 n.d. 0.46
Benthic Cover Turf (50-90%) Turf (50-90%), coralline algae (50-<90%),uncolonized
Turf (50-90%), macroalgae (10-<50%), uncolonized
Turf (50-<90%), coralline algae (10-<50%)
Turf (50-90%), coralline algae (10-<50 %)
Turf (50-90%) Turf (10-<90%)
Benthic Type Pavement Sand (~50%), pavement with sand channel, aggregate reef
Sand (~80%) and pavement
Aggregate reef, pavement, rubble
Pavement with sand channel
Pavement Sand and pavement
Biological Factors
Coral Cover (%) <10 10-50 <10 <10 <10 <10 <10
Coral Health n.d. n.d. n.d. n.d. n.d. n.d. n.d.
Invasive Algae Absent Absent Absent Present Absent Absent Absent
Socioeconomic Factors
Distance from boat launch (km)
3.20 1.40 1.30 1.80 4.40 2.50 2.10
Distance from nearest dive site (km)
1.30 0.30 1.00 1.30 2.30 0.60 1.00
Distance from coral nursery (km)
2.00 0.00 1.40 1.80 3.10 1.10 1.70
Distance from pollutant sources (km) 0.67 1.02 0.78 0.93 0.67 0.85 1.50 10
SITE-SPECIFIC CRITERIA
ScenariosWeights
Cost Value Educational Value
Recreational Value
Biophysical Value
(1) Cost value is prioritized 0.42 0.17 0.08 0.33
(2) Biophysical value is prioritized 0.33 0.17 0.08 0.42
(3) Educational value is prioritized 0.17 0.42 0.08 0.33
(4) Recreational value is prioritized 0.17 0.08 0.42 0.33
(5) All objectives are valued equally 0.25 0.25 0.25 0.25
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OBJECTIVES & SCENARIOS
13Photo credit: Gates Coral Lab
Swing weights and SMART table can be adjusted as needed
Update and fill in missing data for environmental parameters
“Ground truth” proposed restoration sites
MOVING FORWARD
Collaborations
Education Center
Posters/ Pamphlets
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LONG-TERM FUTURE STRATEGIES
• Diving companies• Duck tour operators• SUP operators
• Public awareness• Community workshops• Fundraisers
• Featured videos• Informative books• Monthly talks
Andreyka, N., Arnott, C., Tanigawa, S., Yazzie, A. (2017). Economic Analysis Project Component: A Knowledge Domain for Assessing the Value of Maunalua Bay to Recreational Commercial Operators, 2-12. Retrieved from https://scholarspace.manoa.hawaii.edu/bitstream/10125/44555/Maunalua%20Bay%20Economics%20Knowledge%20Domain.pdf
Atkinson, A. (2007). A Natural and Cultural History of Maunalua Bay and Its Watershed, 3-25. Retrieved from http://www.imuamaunalua.org/wp-content/uploads/A-Natural-Cultural-History-of-Maunalua-Bay.pdf
Brown, K., Adger, W. N., Tompkins, E., Bacon, P., Shim, D., & Young, K. (2001). Trade-off analysis for marine protected area management. Ecological Economics, 37(3), 417–434. https://doi.org/10.1016/S0921-8009(00)00293-7
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Moberg, F., & Folke, C. (1999). Ecological goods and services of coral reef ecosystems. Ecological Economics, 29(2), 215–233. https://doi.org/10.1016/S0921-8009(99)00009-9
Mustajoki, J., Hämäläinen, R. P., & Salo, A. (2005). Decision Support by Interval SMART/SWING—Incorporating Imprecision in the SMART and SWING Methods.
National Academies of Sciences, Engineering, and Medicine, Division on Earth and Life Studies, Board on Life Sciences, Ocean Studies Board, & Committee on Interventions to Increase the Resilience of Coral Reefs. (2019). A Decision Framework for Interventions to Increase the Persistence and Resilience of Coral Reefs. National Academies Press. https://doi.org/10.17226/25424
Presto, M. K., Storlazzi, C. D., Logan, J. B., Reiss, T. E., & Rosenberger, K. J. (2012). Coastal Circulation and Potential Coral-larval Dispersal in Maunalua Bay, Oʻahu, Hawaii—Measurements of Waves, Currents, Temperature, and Salinity, June–September 2010. US Geological Survey Open-File Report, 2012, 1040.
Siregar, D., Arisandi, D., Usman, A., Irwan, D., & Rahim, R. (2017). Research of Simple Multi-Attribute Rating Technique for Decision Support. Journal of Physics: Conference Series, 930, 012015. https://doi.org/10.1088/1742-6596/930/1/012015
Storlazzi, C. D., Presto, K. M., Logan, J. B., & Field, M. E. (2010). Coastal circulation and sediment dynamics in Maunalua Bay, Oahu, Hawaii. USGS Open-File Report, 1217, 2010.
Tait, R. J., E. Guinther, and R. E. Brock. (1975). Preliminary Environmental Impact Studies on the Marine Environment at Maunalua Bay. Honolulu, HI: AECOS, Inc.
Wolanski, E., Martinez, J. A., & Richmond, R. H. (2009). Quantifying the impact of watershed urbanization on a coral reef: Maunalua Bay, Hawaii. Estuarine, Coastal and Shelf Science, 84(2), 259–268. https://doi.org/10.1016/j.ecss.2009.06.029
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REFERENCES