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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14-6<br />
Modelling Coral Larval Dispersal Patterns Within The Singapore Straits<br />
Ywee Chieh TAY* 1 , Peter Alan TODD 1 , Per Sand ROSSHAUG 2 , Loke Ming CHOU 1<br />
1 Department of Biological Sciences, National <strong>University</strong> of Singapore, Singapore,<br />
Singapore, 2 Environmental processes, DHI, Hørsholm, Denmark<br />
Despite almost five decades of anthropogenic impacts, the reefs of Singapore’s Southern<br />
Islands support a rich community of scleractinian corals (165 species in just 10km 2 of<br />
reef). Ongoing reef restoration efforts are important for reducing degradation rates of the<br />
remaining reefs, but natural recruitment processes remain poorly understood. Given the<br />
dynamism of the marine environment, broadcast spawners such as scleractinian corals<br />
display great potential for exchange of genetic material. Determining the connectivity<br />
among Singapore reefs is one of the fundamental steps in understanding the sustainability<br />
and viability of coral populations, and would contribute to more informed reef<br />
management decisions.<br />
It is logistically challenging, however, to track the dispersal patterns of millions of<br />
microscopic larvae. Coral larval dispersion patterns were therefore predicted with a 2Dhydrodynamic<br />
flexible mesh (MIKE21 FM) model coupled with a Lagrangian particletracking<br />
module. Neutrally buoyant, passive particles representing the generally passive<br />
coral larvae were released from various coral source reefs in the Southern Islands during<br />
mass spawning events. Particles were also released from the northern coasts of some of<br />
the neighbouring Riau islands of Indonesia at predicted spawning times. Preliminary<br />
findings indicate that the coral reefs of the Southern Islands are mainly self- replenishing.<br />
Most of the input, however, comes from an eastern cluster of islands due to the seasonal<br />
net east-west current that runs through the Singapore Straits during this period. Such<br />
connectivity patterns can be used to predict which reefs are key sources of genetic<br />
material and thus suitable for conservation priorities.<br />
14-7<br />
Larval Dispersal In Archipelagic Basins And Interconnecting Straits Using Particle-<br />
Tracking Models<br />
Cesar VILLANOY* 1 , Marites CANTO 2 , Wilfredo CAMPOS 3<br />
1 Marine Science Institute, <strong>University</strong> of the Philippines, Quezon City, Philippines,<br />
2 Marine Science Institute, <strong>University</strong> of the Philippines, Quezon City`, Philippines,<br />
3 OceanBio Laboratory, <strong>University</strong> of the Philippines in the Visayas, Iloilo, Philippines<br />
Larval dispersal models have been used to investigate marine population connectivity in<br />
the Philippines. The unique archipelagic nature of the seas around the Philippines where<br />
semi-enclosed basins like the Sulu Sea and the Bohol Sea, interconnected with narrow<br />
straits and passages, may define scales of larval dispersal. Surface current velocities from<br />
global and regional models were used to drive particle-tracking larval dispersal models to<br />
gain insights on the role of interconnecting passages and semi-enclosed basins on<br />
dispersal patterns. The location of larval sources were based on coral reef habitat maps<br />
and the magnitude of larval sources scaled according to habitat characteristics,<br />
particularly reef fish biomass and percent live coral from field survey data. The virtual<br />
larvae contain simple behavior involving sensory and swimming capabilities. Survival<br />
rate of settled recruits is also scaled by a simple measure of fishing and environmental<br />
pressure. The results show that while hydrodynamics of straits and basins control<br />
dispersal, spatially varying magnitudes of the larval sources and survival of recruits are<br />
highly influenced by protection and degree of fishing pressure.<br />
Oral Mini-Symposium 14: Reef Connectivity<br />
14-8<br />
A Preliminary Effort in Linking Connectivity Information And Coral Reef Fisheries<br />
Using A Simple Systems Model<br />
Ma. Carmen ABLAN* 1<br />
1 Biology Department, De La Salle <strong>University</strong> Manila, Manila, Philippines<br />
Connecting connectivity information to reef fisheries management is a major challenge. It<br />
requires the availability and integration of good information and a means of obtaining feedback<br />
from managers and resource users. The need in developing countries is especially urgent<br />
because management interventions to halt the decline and restore productivity of reef fisheries<br />
are increasingly becoming focused on local scales. As policies change, including connectivity in<br />
decision making becomes essential to the success of any intervention. This study presents initial<br />
work on constructing a simple systems model, using Stella 8.0. It integrates available<br />
information on recruitment, spillover and fishing of reef fish to determine fish stocks in three<br />
islands in the Bohol Sea. The effect of introducing estimates of connectivity to the model in<br />
predicting the availability of reef fish was explored in the model and compared to estimates<br />
without information on connectivity. Fish stocks over time in Balicasag, Apo and Sumilon<br />
Islands were first modeled in relation to recruitment, spillover from marine protected areas and<br />
fishing within each of these islands based on published information and data from interviews<br />
with fishers. Estimates of asymmetric migration among islands based on previous work using<br />
microsatellite markers on the sedentary damselfish Dascyllus trimaculatus and the further<br />
ranging Pterocaesio pisang was factored into the model. Values of fish stocks for each area<br />
were recalculated. When conservative estimates of connectivity based on D. trimaculatus were<br />
used, fish stocks in Balicasag and Sumilon declined by 20% and 15% while those in Apo<br />
increased by 22%. Using connectivity estimates from P.pisang, decline of 18-33% in fish<br />
stock was predicted. Results show that different connectivity scenarios have different<br />
consequences for management and raise the question of whether we could actually produce a<br />
measure which can be useful.<br />
14-9<br />
Segregation Of Queen Conch, Strombus Gigas, Populations From Mexico<br />
Claire PARIS* 1 , Dalila ALDANA ARANDA 2<br />
1 Rosenstiel School of Marine and Atmospheric, Marine Biology and Fisheries, <strong>University</strong> of<br />
Miami, Miami, FL, 2 Recursos del Mar, CINVESTAV IPN Unidad Merida, Merida, Mexico<br />
Despite active conservation measures, slow recovery of Queen conch (Strombus gigas) is a<br />
growing concern in the Caribbean. Although conventional expectations presume that S. gigas<br />
populations are largely connected, we present results of veliger larval drift and survival from the<br />
Yucatan peninsula in Mexico that suggest otherwise. Spatial patterns of observed and simulated<br />
larval stages during the reproductive season revealed isolation of the Alacranes Reef population<br />
on Campeche Bank (North Yucatan) from the Mexican Caribbean coast populations (East<br />
Yucatan). High levels of larval retention on Campeche Bank contrasted to the highly variable<br />
larval transport and survival along the Mexican Caribbean coast into the Yucatan Current, and<br />
eventually into the Loop Current, drive the degree of segregation. In addition, these populations<br />
do not mix downstream. In effect, the probability that S. gigas larvae originating from<br />
Alacranes Reef settle in Florida is insignificant, while a small fraction of larvae produced north<br />
of the Mexican Caribbean coast periodically reaches the Lower Florida Keys. Although this<br />
long-distance dispersal may not be sufficient to replenish the downstream populations, gene<br />
flow could prevent differentiation of the Florida Keys and Mexican Caribbean Queen conch<br />
populations. This study constitutes and essential step in understanding the structure of S. gigas<br />
populations and the needed actions for the recovery of individual populations in Mexico.<br />
Detailed larval dynamics (e.g. behavior, growth, mortality, settlement) and mapping of<br />
populations’ networks at the regional and wider Caribbean scales will be an extension of this<br />
work.<br />
111