Title:CEOAS_v_spot.eps Creator:Adobe Illustrator(R) 15.1 CreationDate:4/18/12 LanguageLevel:2 1284 Modeling Larval Connectivity of Coral Reef Organisms in the Kenyan-Tanzanian region C. Gaby Mayorga Adame*, Hal P. Batchelder , P. Ted Strub, Yvette H. Spitz College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis OR 97331 *[email protected] Abstract Conclusions Model Set Up Marine Protected Areas (MPAs) have been widely implemented as a conservation effort on coral reef systems. The extent to which they achieve the dual goals of protecting biodiversity and enhancing productivity of reef associated species beyond their boundaries depends on the larval connectivity among protected and unprotected reefs Connections among MPAs and with unprotected reefs enhance regional resilience and individual reef recovery from disturbance. Potential connectivity patterns of larvae, along with other criteria (reef size, quality, productivity), should be considered when designing spatial management policies to protect coral reef systems An individual-based particle tracking model (IBM) was coupled to an ocean circulation model to examine connections among coral reefs in the KenyanTanzanian reef region of East Africa and to evaluate connectivity among existing MPAs. We explored the effects of: Spawning date, by simulating 3 alternating months during the spawning season Ocean Circulation Model Regional Ocean Modeling System (ROMS)1 application for the coastal region of Kenya and Tanzania (0-10°S, 38.7-46.98°E) 4 km horizontal grid resolution, 31 terrain-following s-vertical levels Forced by daily atmospheric variables from NCEP/NCAR2 and monthly open boundary forcing from OFES3 global Ocean General Circulation Model Individual Based Model POPCYCLE4 was used to track particles in the 3D simulated flow ~20 000 particles were released daily from 290 protected reefs during Oct, Dec and Feb of two years 2000-1 and 2003-4 The number of particles released per reef was proportional to the reef area with a density of 25 particles/km2 All particles were released at 3m depth Particles were characterized as two species groups with different behaviors: Inter-annual environmental variability by simulating 2 non-consecutive years Connectivity matrices, derived from IBM particle tracking of reef species, describe potential recruitment pathways among individual reefs in the region, and could contribute to the design and implementation of a more efficient network of MPAs The different life history and behavior of the two species groups generate different connectivity patterns and a very different potential of successful settlement (2.5% Acroporids vs 50% Acanthurids) There is substantial inter-annual and intra-seasonal variability in the percentage of successful settlers per release date, and some, less striking, inter-annual variability in the connectivity pattern of both species groups. This is related to the variability in the 3D velocity fields, perhaps due to the interaction of the seasonal circulation pattern with a highly variable eddy field Protected reefs in latitudinal section 7 are the common source for most successful settlers of both species groups. Conservation efforts may wish to focus in this key region that seems to seed many of the other reefs “Successful settlers” - % per release date Larval behaviors by simulating 2 species groups: Acanthurids and Acroporids Full model domain with bathymetry contours The black arrows show the northward flowing East African Coastal Current (EACC) that is present all year long and its branch that affects the archipelago. The southward arrow shows the Somali Current present only during the NE monsoon (Dec to Mar). To analyze connectivity the study region was subdivided in to 9 latitudinal sections denoted by a number and a color. The coral reefs in each section are shown in their corresponding color. North to south the 3 big islands are Pemba, Zanzibar and Mafia Study Region 4000 2000 100 500 1000 Success of settlers for all the regions expressed as the percentage of the total number of larvae released on a given day. This illustrates which spawning events are likely to generate high recruitment 20 40 Source & Sink maps Connectivity Matrices Oct Dec Feb Potential of success is very different for the two species groups with less than 2.5% for Acroporids and up to 50% for Acanthurids. Sensitivity analyses show that sensory and swimming capabilities are in part driving this difference. Duration of the competency period is likely to be another important factor, as a longer competency period provides a greater probability of the larvae encountering suitable reef habitat. This remains to be tested Both species groups show high inter-annual and intra-seasonal variability, which is related to the strength of the EACC. The interannual variability of the circulation has different effects on the potential settlement success of the two species groups. For example, the higher Acanthurids' settlement success in February 2004 compared to 2001 is due to a stronger coastal jet in 2004, which resulted in dispersal among all reef regions. Acroporids in the other hand show little difference between the two years “Sink Section” Oct00 Dec00 Feb01 1m.s-1 Source maps show where the successful settlers come from. Sink maps show the most popular destinations for successful settlers. The color scale indicates the fraction of the total successful settlers that came/ended up in a given location for the two species groups: Acanthurids (blue) and Acroporids (purple) “Source Section” Illustration of the connectivity among reefs in the 9 latitudinal sections for the two species groups (Acanthurids (Upper panels in blue) and Acroporids (Lower panels in purple)), and for two years 2000-1 (O) and 2003-4 ( ). The size of the symbols is proportional to the number of connections In general, sections with few protected areas (e.g. 5 and 9) and therefore less seeding have little connectivity. Region 8, while having few protected areas, shows high connectivity with the surrounding areas due to favorable circulation. Particles from region 1 quickly leave the northern boundary of the domain The self seeding pattern shown by Acroporids suggests that high retention at the release location is an important mechanisms controlling their settlement success. The pattern shown by Acanthurids suggests that this species group is capable of long distance dispersal and that the southern sections supply larvae to the northern sections. These different patterns are a consequence of their pelagic larval duration . Oct03 Dec03 Feb04 Both species groups have their source 'hot spot' in section 7, but they differ in their sink pattern. Section 8 is a major destination, however Acanthurids show also high settlement potential in the northeast coast of Zanzibar Island. This suggests that their long pelagic larval duration allows them to take advantage of both recirculation patterns caused by reefs and islands and long distance transport caused by the EACC Acknowledgements This work is supported through a CONACYT Scholarship Travel support comes from NOAA CIOSS For unconditional support to my family (Italo, Ian, Mom and Sis) and officemates (Martin Hoecker-Martinez, Atul Dhage, Byungho Lim, et al) Vectors of monthly mean surface velocity and sea surface height in meters are a “proxy” for the ocean conditions that larvae experience when they are released References 1. Haidvogel, D.B., et al. (2008), Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System. Journal of Computational Physics, 227, 3595–3624. http://www.myroms.org 2. National Centers of Environmental Prediction. http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html 3. Masumoto, Y., et al. (2004), A fifty-year eddy-resolving simulation of the World Ocean: Preliminary outcomes of OFES (OGCM for the Earth Simulator), J. Earth Simulator, 1, 35– 56. http://www.jamstec.go.jp/esc/ofes/eng/index.html 4. H. P. Batchelder (2006),Forward-in-time-/backward-in-time-trajectory (FITT/BITT) modeling of particles and organisms in the coastal ocean, Journal of . Atmospheric and Oceanic Technology, 23:5, 727-741
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