NESP MB Project B2 - Analysis and elicitation to support State of the Environment reporting for the full spectrum of data availability

本记录概述了NESP海洋生物多样性枢纽项目B2 -“分析和启发以支持环境状况报告，提供全面数据”的范围和研究成果。预计本项目不会有数据输出。<br /> --------------------<br /> <br /> 可用于支持环境状况报告的观测数据的可用性和质量取决于以下方面：（例如，珊瑚礁生命调查、长期珊瑚礁监测方案、温带珊瑚礁监测方案、基于州的海洋保护区监测方案）;（ii）中等质量（例如，连续的浮游生物记录器，偶尔的渔获量调查）;（iii）低质量（轶事信息）到（iv）专家的信念，但没有经验观察。<br /> <br /> 我们目前缺乏一个原则性的程序来利用和合并不同质量和不同来源的数据，以形成一个支持环境状况报告的国家视角。支持这一进程的关键统一原则是现有数据在多大程度上代表所涉环境资产。随着经验观察准确反映资产在空间和时间上的状况的程度的降低，对专家意见的依赖也会增加，直到唯一可用的信息是专家意见的极限。<br /> <br /> 这一项目将提供一个总体框架，以审议这些问题，酌情在有或没有专家判断的情况下，为混合不同的数据流制定切实可行的协议，从而为改进从高质量到低质量的所有类型数据来源的环境状况报告奠定基础。它将通过制定和应用协议来支持SoE 2106海洋章节的发展。目前正在CSIRO资助的一个单独项目中开发。该项目将利用编写本章的经验，就今后环境报告的适当方法提出建议。<br /> <br /> 重要的是，无论现有信息的数量或质量如何，统计方法和分析原则都将保持一致。因此，即使环境部掌握的环境数据的质量和数量发生变化，框架和分析方法仍将具有相关性。这将提供对SOE至关重要的分析和报告的一致性。<br /> <br /> 预期成果<br /> ·提供两三个例子，说明在国有企业报告中使用专家意见的统一方法。这些例子将与环境部密切合作确定，并将及时制定，以支持2016年环境状况报告的海洋章节，这取决于项目第二年的资源可用性和与环境部的及时互动。<br /> ·《环境状况报告》中对环境资产状况和趋势的评估将基于一个原则性和统计上合理的过程，该过程可以合并和利用包括专家意见在内的所有来源的数据。

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project B2 - "Analysis and elicitation to support State of the Environment reporting for the full spectrum of data availability". No data outputs are expected for this project.<br /> --------------------<br /> <br /> The availability and quality of observation data that may be used to support State of the Environment reporting lies on a spectrum from: (i) high quality (e.g. Reef Life Survey, Long term reef monitoring programme, Temperate Reef Monitoring programme, state-based MPA monitoring programmes); (ii) moderate quality (e.g. continuous plankton recorder, occasional by catch surveys); (iii) low quality (anecdotal information) to (iv) expert beliefs but no empirical observations. <br /> <br /> We currently lack a principled process for utilising and merging data of varying quality and from different sources to form a national perspective to support State of the Environment reporting. The key unifying principle to support such a process is the extent to which the available data is representative of the environmental asset in question. As the extent to which the empirical observations accurately represent the state of the asset in both space and time diminishes, so the reliance on expert opinion increases, to the limit where the only available information is expert opinion.<br /> <br /> This project will provide an over-arching framework to consider these issues, develop practical protocols for blending different data streams with or without experts’ judgement as appropriate, and thereby provide a foundation for improving State of Environment reporting for all types of data sources, from high to low quality. It will do this by developing and applying protocols to support development of the marine chapter of SoE 2106. This currently being developed within a separate CSIRO funded project. The project will use the experience of developing this chapter to make recommendations about appropriate methodologies for future environmental reporting.<br /> <br /> Importantly the statistical approach and analysis principles will be consistent regardless of the amount or quality of the information available. As a result the framework and analysis methods will remain relevant, even as the quality and quantity of environmental data at the department’s disposal changes. This will provide the consistency of analysis and reporting that is essential to SoE. <br /> <br /> Expected Outcomes<br /> • The provision of two or three examples that demonstrate a unified approach to the use of expert opinion in SoE reporting. These examples will be identified in close collaboration with the Department and will be developed in time to support the marine chapter of 2016 State of the Environment report, contingent on the availability of resources in the second year of the project and timely interaction with the department.<br /> • Assessments of the status and trends of environmental assets in the State of the Environment report will be based on a principled and statistically defensible process that can merges and utilises data from all sources including expert opinion.