A. P. van de Putte, Yi-Ming Gan, Alyce Hancock, Ben Raymond
{"title":"南大洋基本变量的分布式系统研究","authors":"A. P. van de Putte, Yi-Ming Gan, Alyce Hancock, Ben Raymond","doi":"10.3897/biss.7.112289","DOIUrl":null,"url":null,"abstract":"The Southern Ocean (SO), delinated to the north by the Antarctic convergence, is a unique environment that experiences rapid change in some areas while remaining relatively untouched by human activities. At the same time, these ecosystems are under severe threat from climate change and other stressors. While our understanding of SO biological processes (e.g., species distributions, feeding ecology, reproduction) has greatly improved in recent years, biological data for the region remains patchy, sparse, and unstandardised depending on the taxonomic group (Griffiths et al. 2014).\n Due to the scarcity of standardised observations and data, it is difficult to model and predict SO ecosystem responses to climate change, which is often accompanied by other anthropogenic pressures, such as fishing and tourism. Understanding the dynamics and change in the SO necessitates a comprehensive system of observations, data management, scientific analysis, and ensuing policy recommendations. It should be built as much as feasible from current platforms and standards, and it should be visible, verifiable and shared in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles (Van de Putte and Griffiths 2021). For this we need to identify the stakeholders' needs, sources of data, the algorithms for analysing the data and the infrastructure on which to run the algorithms (Benson and Brooks 2018). Existing synergistic methods for identifying selected variables for (life) monitoring include Essential Biodiversity Variables (EBVs; Pereira and Ferrier 2013), Essential Ocean Variables (EOVs; Miloslavich and Bax 2018), Essential Climate Variables (ECVs; Bojinski and Verstraete 2014), and ecosystem Essential Ocean Variables (eEOVs; Constable and Costa 2016). (For an overview see Muller-Karger and Miloslavich 2018.) These variables, can be integrated into the Southern Ocean Observation System (SOOS) and SOOSmap but also national or global systems (e.g., Group on Earth Observations-Biodiversty Observation Network (GEO-BON)). The resulting data products can in turn be used to inform policy makers.\n The use of Essential Variables (EVs) marks a significant step forward in the monitoring and assessment of SO ecosystems. However, these EVs will necessitate prioritising certain variables and data collection. Here we present the outcomes of a workshop organised in August 2023 that aimed to outline the set Essential Variables and workflows required for a distributed system that can translate biodiversity data (and environmental data) into policy-relevant data products.\n The goals of the workshop were:\n \n \n \n Create an inventory of EVs relevant for the Southern Ocean based on existing efforts by the GEO-BON and the Marine Biodiversity Observation Network (MBON).\n \n \n Identify data requirements and data gaps for calculating such EVs and prioritise EVs to work on.\n \n \n Identify existing workflows and tools.\n \n \n Develop a framework for developing the workflows required to turn public biodiversity data into relevant EVs.\n \n \n \n Create an inventory of EVs relevant for the Southern Ocean based on existing efforts by the GEO-BON and the Marine Biodiversity Observation Network (MBON).\n Identify data requirements and data gaps for calculating such EVs and prioritise EVs to work on.\n Identify existing workflows and tools.\n Develop a framework for developing the workflows required to turn public biodiversity data into relevant EVs.","PeriodicalId":9011,"journal":{"name":"Biodiversity Information Science and Standards","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards a Distributed System for Essential Variables for the Southern Ocean\",\"authors\":\"A. P. van de Putte, Yi-Ming Gan, Alyce Hancock, Ben Raymond\",\"doi\":\"10.3897/biss.7.112289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Southern Ocean (SO), delinated to the north by the Antarctic convergence, is a unique environment that experiences rapid change in some areas while remaining relatively untouched by human activities. At the same time, these ecosystems are under severe threat from climate change and other stressors. While our understanding of SO biological processes (e.g., species distributions, feeding ecology, reproduction) has greatly improved in recent years, biological data for the region remains patchy, sparse, and unstandardised depending on the taxonomic group (Griffiths et al. 2014).\\n Due to the scarcity of standardised observations and data, it is difficult to model and predict SO ecosystem responses to climate change, which is often accompanied by other anthropogenic pressures, such as fishing and tourism. Understanding the dynamics and change in the SO necessitates a comprehensive system of observations, data management, scientific analysis, and ensuing policy recommendations. It should be built as much as feasible from current platforms and standards, and it should be visible, verifiable and shared in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles (Van de Putte and Griffiths 2021). For this we need to identify the stakeholders' needs, sources of data, the algorithms for analysing the data and the infrastructure on which to run the algorithms (Benson and Brooks 2018). Existing synergistic methods for identifying selected variables for (life) monitoring include Essential Biodiversity Variables (EBVs; Pereira and Ferrier 2013), Essential Ocean Variables (EOVs; Miloslavich and Bax 2018), Essential Climate Variables (ECVs; Bojinski and Verstraete 2014), and ecosystem Essential Ocean Variables (eEOVs; Constable and Costa 2016). (For an overview see Muller-Karger and Miloslavich 2018.) These variables, can be integrated into the Southern Ocean Observation System (SOOS) and SOOSmap but also national or global systems (e.g., Group on Earth Observations-Biodiversty Observation Network (GEO-BON)). The resulting data products can in turn be used to inform policy makers.\\n The use of Essential Variables (EVs) marks a significant step forward in the monitoring and assessment of SO ecosystems. However, these EVs will necessitate prioritising certain variables and data collection. 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引用次数: 0
摘要
南大洋(SO)被南极辐合带向北划分,是一个独特的环境,在某些地区经历快速变化的同时相对未受人类活动的影响。与此同时,这些生态系统受到气候变化和其他压力因素的严重威胁。虽然近年来我们对SO生物过程(如物种分布、摄食生态、繁殖)的理解有了很大的提高,但该地区的生物数据仍然不完整、稀疏,并且由于分类群的不同而未标准化(Griffiths et al. 2014)。由于缺乏标准化的观测和数据,很难模拟和预测SO生态系统对气候变化的响应,而气候变化通常伴随着其他人为压力,如渔业和旅游业。了解SO的动态和变化需要一个综合的系统,包括观察、数据管理、科学分析和随后的政策建议。它应该尽可能在现有平台和标准的基础上构建,并且应该是可见的,可验证的,并按照FAIR(可查找,可访问,可互操作和可重用)原则共享(Van de Putte和Griffiths 2021)。为此,我们需要确定利益相关者的需求、数据来源、分析数据的算法以及运行算法的基础设施(Benson和Brooks 2018)。现有的确定生命监测选定变量的协同方法包括基本生物多样性变量(ebv);Pereira and Ferrier 2013),基本海洋变量(EOVs;Miloslavich and Bax 2018),基本气候变量(ecv);Bojinski and Verstraete 2014),以及生态系统基本海洋变量(eEOVs;康斯特布尔和科斯塔2016)。(有关概述,请参阅Muller-Karger and Miloslavich 2018。)这些变量可以纳入南大洋观测系统(SOOS)和SOOSmap,也可以纳入国家或全球系统(例如,地球观测小组-生物多样性观测网(GEO-BON))。由此产生的数据产品反过来可用于为决策者提供信息。基本变量(ev)的使用标志着SO生态系统监测和评估向前迈出了重要一步。然而,这些电动汽车将需要优先考虑某些变量和数据收集。在这里,我们介绍了2023年8月组织的一次研讨会的成果,该研讨会旨在概述分布式系统所需的一系列基本变量和工作流程,该系统可以将生物多样性数据(和环境数据)转化为与政策相关的数据产品。研讨会的目标是:根据GEO-BON和海洋生物多样性观测网(MBON)的现有工作,编制一份与南大洋相关的电动汽车清单。确定计算此类电动汽车的数据需求和数据差距,并确定要优先处理的电动汽车。识别现有的工作流和工具。制定框架,制定将公共生物多样性数据转化为相关ev所需的工作流程。根据GEO-BON和海洋生物多样性观测网(MBON)的现有工作,创建与南大洋相关的电动汽车清单。确定计算此类电动汽车的数据需求和数据差距,并确定要优先处理的电动汽车。识别现有的工作流和工具。制定框架,制定将公共生物多样性数据转化为相关ev所需的工作流程。
Towards a Distributed System for Essential Variables for the Southern Ocean
The Southern Ocean (SO), delinated to the north by the Antarctic convergence, is a unique environment that experiences rapid change in some areas while remaining relatively untouched by human activities. At the same time, these ecosystems are under severe threat from climate change and other stressors. While our understanding of SO biological processes (e.g., species distributions, feeding ecology, reproduction) has greatly improved in recent years, biological data for the region remains patchy, sparse, and unstandardised depending on the taxonomic group (Griffiths et al. 2014).
Due to the scarcity of standardised observations and data, it is difficult to model and predict SO ecosystem responses to climate change, which is often accompanied by other anthropogenic pressures, such as fishing and tourism. Understanding the dynamics and change in the SO necessitates a comprehensive system of observations, data management, scientific analysis, and ensuing policy recommendations. It should be built as much as feasible from current platforms and standards, and it should be visible, verifiable and shared in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles (Van de Putte and Griffiths 2021). For this we need to identify the stakeholders' needs, sources of data, the algorithms for analysing the data and the infrastructure on which to run the algorithms (Benson and Brooks 2018). Existing synergistic methods for identifying selected variables for (life) monitoring include Essential Biodiversity Variables (EBVs; Pereira and Ferrier 2013), Essential Ocean Variables (EOVs; Miloslavich and Bax 2018), Essential Climate Variables (ECVs; Bojinski and Verstraete 2014), and ecosystem Essential Ocean Variables (eEOVs; Constable and Costa 2016). (For an overview see Muller-Karger and Miloslavich 2018.) These variables, can be integrated into the Southern Ocean Observation System (SOOS) and SOOSmap but also national or global systems (e.g., Group on Earth Observations-Biodiversty Observation Network (GEO-BON)). The resulting data products can in turn be used to inform policy makers.
The use of Essential Variables (EVs) marks a significant step forward in the monitoring and assessment of SO ecosystems. However, these EVs will necessitate prioritising certain variables and data collection. Here we present the outcomes of a workshop organised in August 2023 that aimed to outline the set Essential Variables and workflows required for a distributed system that can translate biodiversity data (and environmental data) into policy-relevant data products.
The goals of the workshop were:
Create an inventory of EVs relevant for the Southern Ocean based on existing efforts by the GEO-BON and the Marine Biodiversity Observation Network (MBON).
Identify data requirements and data gaps for calculating such EVs and prioritise EVs to work on.
Identify existing workflows and tools.
Develop a framework for developing the workflows required to turn public biodiversity data into relevant EVs.
Create an inventory of EVs relevant for the Southern Ocean based on existing efforts by the GEO-BON and the Marine Biodiversity Observation Network (MBON).
Identify data requirements and data gaps for calculating such EVs and prioritise EVs to work on.
Identify existing workflows and tools.
Develop a framework for developing the workflows required to turn public biodiversity data into relevant EVs.