NESP MaC Project 1.29 b – NESP Marine and Coastal Hub scoping study: New approaches to monitoring (2022) (CSIRO)

NESP MaC 项目 1.29 b — NESP 海洋和沿海中心范围界定研究：新的监测方法（2022 年）（CSIRO）

• 批准号: global : e8df8db4-36de-4e0e-9b79-44d48872ccb9
• 负责人: Karen Evans
• 金额: --
• 依托单位国家: 澳大利亚
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/nesp-mac-project-2022-csiro/2091297
• 关键词: NESP; MaC; Project; 1.29; Marine

This record provides an overview of the NESP Marine and Coastal Hub small-scale study - NESP Marine and Coastal Hub scoping study: New approaches to monitoring. <br /> <br /> Observations of marine species have rapidly diversified over the last decade with increasing numbers of observations collected either through citizen science programs or opportunistically by citizens and then submitted into public databases. The expectation of citizens contributing those data is that the data is incorporated into formal analyses and utilised either for scientific or management purposes, with outcomes that improve current understanding and conservation of marine species. Further, there is increasing reliance on more informal and publicly driven approaches to the collection of observations given the costs of conducting formal surveys particularly if accessing remote regions, or if repetition of collection (across seasons or years) is needed.<br /> <br /> Integrating opportunistic observations with more formally collected observations (e.g. those collected through robust survey designs), however, is not straightforward. Traditional approaches to estimating population abundance, changes in species assemblages, abundances and distributions through time require some understanding of the effort associated with those observations and how that effort is also distributed through time; information that is missing from opportunistic observations, given the nature of those observations. Further, many opportunistically collected datasets do not meet the statistical assumptions of many analytical approaches that might be applied to scientific datasets. As a result, opportunistic observations are underutilised at present and are largely only used qualitatively within research applications. <br /> <br /> To take full advantage of this rapidly expanding resource and ensure that efforts associated with the collection of these observations are not wasted, methods that can integrate opportunistically collected data with scientific datasets are needed.<br /> <br /> This project represents the first stage in developing integrative methods. It will bring together data holders, quantitative ecologists and statisticians to explore potential approaches that might be applied to facilitate the integration of opportunistic datasets with scientific datasets. In doing so, it will identify what datasets might be best suited to the development of integrative approaches (and what might not) and outline a pathway for developing those methods that could be implemented through a future project<br /> <br /> Planned Outputs<br /> • Workshop<br /> • Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]

该记录概述了Nesp Marine和Coastal Hub小规模研究-Nesp Marine和Coastal Hub Scoping研究：监测的新方法。 <br /> <br /> 在过去的十年中，人们对海洋物种的观察迅速多样化，随着公民科学计划或公民的机会意见收集的观察结果越来越多，然后被提交到公共数据库中。贡献这些数据的公民的期望是，将数据纳入正式分析中，并用于科学或管理目的，结果可以改善当前对海洋物种的理解和保护。此外，鉴于进行正式调查的成本，特别是在访问偏远地区，或者需要重复收集（整个季节或几年）时，人们对更非正式和公开驱动的观察的方法令人遗憾。<br />。 <br /> 但是，将机会主义观察与更正式收集的观察结果（例如，通过强大的调查设计收集的观察结果）并不直接。估计人口丰度，物种组合的变化，抽象的变化，随着时间的流逝的传统方法需要对与这些观察结果相关的努力以及如何通过时间分配努力的努力；鉴于这些观察的性质，机会主义观察缺少的信息。此外，许多机会主义收集的数据集不符合可能应用于科学数据集的许多分析方法的统计假设。结果，机会主义观察目前未被充分利用，并且在很大程度上仅定性地使用了研究应用程序。 <br /> <br /> 为了充分利用这种快速扩展的资源，并确保与收集这些观察结果相关的努力不会被浪费，需要将机会主义收集的数据与科学数据集整合在一起的方法。<br /> <br /> 该项目代表开发综合方法的第一阶段。它将汇集数据持有人，定量生态学家和统计学家，以探索可能应用的潜在方法，以促进机会主义数据集与科学数据集的整合。通过这样做，它将确定哪些数据集最适合开发综合方法（以及哪些可能不是什么），并概述了开发可以通过未来项目<br />实现的方法的途径 <br /> 计划输出<br /> •研讨会<br /> •最终技术报告，分析的数据和对关键发现的政策制定者的建议简要摘要[书面]