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珊瑚礁适应:一种用于指导气候智能型海洋恢复和管理决策的工具。

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

机构信息

UWA Oceans Institute and School of Biological Sciences, University of Western Australia, Crawley, WA, 6009, Australia.

College of Science and Engineering, Flinders University, Bedford Park, SA, 5042, Australia.

出版信息

Commun Biol. 2024 Oct 30;7(1):1368. doi: 10.1038/s42003-024-06970-4.

Abstract

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.

摘要

生态系统恢复项目的一个关键组成部分涉及使用遗传数据来选择源材料,以提高在当前和未来气候下的成功率。然而,遗传数据的复杂性和费用是其在专门的科学领域之外应用的一个障碍。为了帮助克服这一障碍,我们开发了 Reef Adapt(www.reefadapt.org),这是一个创新的、具有全球适用性和可扩展性的网络平台,将遗传、生物物理和环境预测数据纳入海洋恢复和辅助基因流规划。Reef Adapt 工具提供了地图,这些地图根据当前和未来的气候情景,确定了适合用户指定的恢复/接收地点的具有特定种群的区域。我们用四个在生态和进化上具有多样性的分类群的案例研究来展示其多功能性和实用性:造礁珊瑚 P. damicornis 和 A. kenti,以及大型藻类 P. comosa 和 E. radiata。Reef Adapt 是一个管理就绪的工具,可以帮助在持续的生境退化和气候变化中进行恢复和保护工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a27/11526119/22cba7c12e1e/42003_2024_6970_Fig1_HTML.jpg

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