NESP MaC Project 1.7 - Towards a consolidated and open-science framework for restoration monitoring

本记录概述了国家环境保护计划海洋和沿海枢纽小规模研究--“为恢复监测建立一个综合和开放的科学框架”。此项目没有计划数据输出。<br/> <br/> 澳大利亚沿海栖息地恢复的规模正在迅速扩大，涵盖了一系列栖息地，包括牡蛎礁、海草草甸、红树林、海藻森林和盐沼。每个修复项目都包括一些监测结果的尝试，但目前这些项目是零散的、不协调的、往往资金不足，而且很少遵循开放科学协议。国家海洋生物多样性方案以前资助的项目增进了对受威胁生态系统的生态和服务提供的了解，并根据参考条件确定了修复目标(例如海洋生物多样性项目B4)。它们还建立了一个广泛的海洋和沿海恢复项目数据库(ARCN：项目E5)，并支持为各部门或项目开发监测、评估、报告和改进系统。通过综合所有澳大利亚研究人员对多个生境的恢复项目进行监测的知识，该项目将以这些以前的项目为基础，综合监测生境恢复的方法。它还将探索在监测框架内整合自动化、人工智能和EDNA等新技术，以提高效率和成本效益。主要成果将是一个协调和开放的科学框架，用于跨项目、规模和生境的恢复监测，其中整合了明确阐述的假设，以确定恢复的目标。这一框架将简化未来恢复项目的开发，并确保实现监测活动的最大价值。<br/> <br/> 计划产量<br/> ·文献综述[书面]<br/> ·指南文件(最佳实践工具包)[书面]<br/> -本项目无数据输出计划

This record provides an overview of the NESP Marine and Coastal Hub small-scale study - "Towards a consolidated and open-science framework for restoration monitoring". No data outputs are planned for this project.<br /> --------------------<br /> <br /> Coastal habitat restoration is scaling up rapidly in Australia and covers a range of habitats including oyster reefs, seagrass meadows, mangrove forests, kelp forests, and saltmarshes. Every restoration project includes some attempt at monitoring outcomes but currently these are piecemeal, uncoordinated, often poorly funded, and rarely follow Open Science protocols. Previous NESP-funded projects have improved understanding of the ecology and service provision of threatened ecosystems and established targets for repair based on reference conditions (e.g. Marine Biodiversity project B4). They have also established an extensive database of marine and coastal restoration projects (ARCN: project E5), and have supported the development of monitoring, evaluation, reporting and improvement systems (MERI) for various sectors or projects. By combining the knowledge of all Australian researchers undertaking monitoring of restoration projects, across multiple habitats, this project will build upon these previous projects to synthesise the approaches for monitoring of habitat restoration. It will also explore integration of new technologies, such as automation, artificial intelligence, and eDNA, within the monitoring framework to improve efficiency and cost-effectiveness. The primary output will be a co-ordinated and open-science framework for restoration monitoring across projects, scales and habitats, that integrates clearly articulated hypotheses to determine the goals for restoration. This framework will streamline development of future restoration projects and ensure that maximum value from monitoring activities is achieved.<br /> <br /> Planned Outputs<br /> • Literature review [written]<br /> • Guidelines document (best-practice toolkit) [written]<br /> ---no data outputs are planned for this project---