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

This data is a portion of a larger project that developed a novel linked land-sea modeling framework based on local data, which coupled groundwater and coral reef models at fine spatial resolution, to determine the effects of terrestrial drivers (groundwater and nutrients), mediated by human activities (land cover/use), and marine drivers (waves, geography, and habitat) on coral reefs. Declining natural resources have led to a cultural renaissance across the Pacific that seeks to revive customary ridge-to-reef management approaches to protect freshwater and restore abundant coral reef fisheries. As a results, there is am omcreased need for 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 anthropogenic activities. We applied this framework in two ‘ridge-to-reef’ systems (Hā‘ena and Ka‘ūpūlehu) subject to different natural disturbance regimes, located in the Hawaiian Archipelago. Spatial prediction grids of coral reef indicators at 60 x 60 m, deried from the linked land-sea modeling framework. These predictons represent a snapshot in time of the coral reef community under present conditions. Present distribution allows to identify coral reef areas vulnerable to future coastal development or climate change project impacts.

本数据集为更大规模项目的一部分，该项目基于本地数据构建了一种创新的陆海联动建模框架，该框架通过精细空间分辨率将地下水与珊瑚礁模型耦合，以确定陆地驱动因素（地下水与营养物质）、受人类活动（土地利用与覆盖）以及海洋驱动因素（波浪、地理和栖息地）对珊瑚礁的影响。自然资源枯竭在太平洋地区引发了一场文化复兴，旨在复兴传统自山至礁的管理方法，以保护淡水资源并恢复丰富的珊瑚礁渔业。因此，对于提高对陆海联系的理解以及同时评估受人类活动影响的陆地和海洋驱动因素对珊瑚礁效应的决策支持工具的需求日益增加。我们应用该框架于两个“自山至礁”系统（Hā‘ena和Ka‘ūpūlehu），这两个系统位于受不同自然扰动制度影响的美属夏威夷群岛。珊瑚礁指标的空间预测网格为60 x 60米，源自陆海联动建模框架。这些预测代表了在当前条件下珊瑚礁群落的一个时间快照。目前的分布有助于识别易受未来海岸开发或气候变化项目影响影响的珊瑚礁区域。