Our Past Projects

Seascape models reveal places to focus coastal fisheries management

To design effective marine reserves and support fisheries, more information on fishing patterns and impacts for targeted species is needed, as well as better understanding of their key habitats. We developed a set of fishing effort and habitat layers at high resolution and employed machine learning techniques to create regional-scale seascape models and predictive maps of biomass and body length of targeted reef fishes for the main Hawaiian Islands. By comparing current targeted fish distributions with those predicted when fishing effort was removed, areas with high recovery potential on each island were revealed. Spatial protection of these areas would aid recovery of nearshore coral reef fisheries

A linked land-sea modeling framework to inform ridge-to-reef management in high oceanic islands

Declining natural resources have contributed to a cultural renaissance across the Pacific that seeks to revive customary ridge-to-reef management approaches to protect freshwater and coral reef fisheries.  Effective ridge-to-reef management requires improved understanding of land-sea linkages and decision-support tools to simultaneously evaluate the effects of terrestrial and marine drivers on coral reefs, mediated by human activities. To address this gap, we developed a linked land-sea tool, which coupled groundwater and coral reef models at fine spatial resolution, to determine the effects of terrestrial drivers, mediated by human activities, and marine drivers on coral reefs.

Place-based management can reduce human impacts on coral reefs in a changing climate

We applied a linked land–sea tool, which couples groundwater nutrient export and coral reef models. This spatially explicit tool simultaneously tracks changes in multiple benthic and fish indicators as a function of community-led marine closures, land-use and climate change scenarios. We applied this framework in Ha‘ena and Ka‘upulehu, located at opposite ends of the Hawaiian Archipelago to identify priority areas on land where upgrading cesspools can reduce human impacts on coral reefs in the face of projected climate change impacts.

Scenario planning with linked land-sea models inform where forest
conservation actions will promote coral reef resilience

We developed a linked land-sea modeling framework based on remote sensing and empirical data, which couples sediment export and coral reef models at fine spatial resolution. This spatially-explicit (60 × 60 m) framework simultaneously tracks changes in multiple benthic and fish indicators as a
function of land-use and climate change scenarios. We applied this framework in Kubulau District, Fiji, to investigate the effects of logging, agriculture expansion, and restoration on coral reef resilience. We evaluated where land-use change and bleaching scenarios would impact sediment runoff and downstream coral reefs to identify priority areas on land, where conservation or restoration could promote coral reef resilience in the face of climate change.

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