Search the SPREP Catalogue

ABSTRACT: Coastal fish populations are typically threatened by multiple human activities, including fishing pressure and run-off of terrestrial pollution. Linking multiple threats to their impacts on fish populations is challenging because the threats may influence a species directly, or indirectly, via its habitats and its interactions with other species. Here we examine spatial variation in abundance of coral reef fish across gradients of fishing pressure and turbidity in Fiji. We explicitly account for multiple pathways of influence to test the alternative hypotheses that (1) habitat moderates predation by providing shelter, so habitat loss only affects prey fish populations if there are abundant predators, (2) habitat change co-drives biomass of both prey and predator functional groups. We examined responses of 7 fish functional groups and found that habitat change co-drives both predator and prey responses to turbidity. Abundances of all functional groups were associated with changes in habitat cover; however, the responses of their habitats to turbidity were mixed. Planktivore and piscivore abundance were lower in areas of high turbidity, because cover of their preferred habitats was lower. Invertivore, browser and grazer abundance did not change strongly over the turbidity gradient, because different components of their habitats exhibited both increases and decreases with turbidity. The effects of turbidity on fish populations were minor in areas where fish populations were already depleted by fishing. These findings suggest that terrestrial run-off modifies the composition of reef fish communities indirectly by affecting the benthic habitats that reef fish use.

Coastal ecosystems can be degraded by poor water quality. Tracing the causes of poor water quality back to land-use change is necessary to target catchment management for coastal zone management. However, existing models for tracing the sources of pollution require extensive data-sets which are not available for many of the world’s coral reef regions that may have severe water quality issues. Here we develop a hierarchical Bayesian model that uses freely available satellite data to infer the connection between land-uses in catchments and water clarity in coastal oceans. We apply the model to estimate the influence of land-use change on water clarity in Fiji. We tested the model’s predictions against underwater surveys, finding that predictions of poor water quality are consistent with observations of high siltation and low coverage of sediment-sensitive coral genera. The model thus provides a means to link land-use change to declines in coastal water quality

Flourescein dye was used to trace water movements and to determine flow velocities and volume transports on two Guam fringing reef flats. Wave-driven water crossed most portions of the reef margin in a direction roughly perpendicular to the shoreline. As it moved across the reef flat it gradually changed direction until it was flowing as a longshore current in a deepened moat zone adjacent to the shoreline. After flowing in this longshore current for distances up to 1500 m, the water gradually moved seaward in a more dispersed pattern and exited the reef flat through major cuts in the reef margin. Smaller, more restricted portions of both reef flats had very sluggish water movements with less distinct patterns. Of the total water volume crossing transects which extended perpendicularly from the shoreline, 10-100% flowed in the moat zone within 80 m of the shore. Flow velocities ranged up to 0.6 m sec1. Mean volume transport across entire transects was up to 61.6 m3 sec1. and in the moat zone alone was up to 23.5 m3 sec-1. There was a significant correlation between surf and flow velocity, as well as between surf and volume transport in the moat, at all transects and tidal states tested in one bay; but the correlations were less conclusive in the other bay. Velocity was more strongly correlated with surf than was volume transport in the moat for most of the correlation analyses.