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Reef Adapt: A tool to inform climate-smart marine restoration and management decisions

A critical component of ecosystem restoration projects involves using genetic data to select source material that will enhance success under current and future climates. However, the complexity and expense of applying genetic data is a barrier to its use outside of specialised scientific contexts. To help overcome this barrier, we developed Reef Adapt ( www.reefadapt.org ), an innovative, globally applicable and expandable web platform that incorporates genetic, biophysical and environmental prediction data into marine restoration and assisted gene flow planning. The Reef Adapt tool provides maps that identify areas with populations suited to user-specified restoration/recipient sites under current and future climate scenarios. We demonstrate its versatility and practicality with four case studies of ecologically and evolutionarily diverse taxa: the habitat-forming corals Pocillopora damicornis and Acropora kenti, and macroalgae Phyllospora comosa and Ecklonia radiata. Reef Adapt is a management-ready tool to aid restoration and conservation efforts amidst ongoing habitat degradation and climate change.
- University of Queensland Australia
- Department of Primary Industries and Regional Development Australia
- Flinders University Australia
- University of Western Australia Australia
- Norwegian Institute of Marine Research Norway
Conservation of Natural Resources, QH301-705.5, Coral Reefs, Climate Change, Animals, Biology (General), Anthozoa, Seaweed, Article, Ecosystem, Environmental Restoration and Remediation
Conservation of Natural Resources, QH301-705.5, Coral Reefs, Climate Change, Animals, Biology (General), Anthozoa, Seaweed, Article, Ecosystem, Environmental Restoration and Remediation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
