用工具构建数字数据流的实践、途径和经验教训:关注外来入侵物种,从发生到措施到记录

Mora Aronsson, Malin Strand, Holger Dettki, Hanna Illander, Johan Olsson
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引用次数: 0

摘要

SLU瑞典物种信息中心(SSIC, SLU Artdatabanken)收集、分析和传播有关在瑞典出现的物种和生境的信息。snic提供开放获取的生物多样性报告和分析基础设施,包括瑞典物种观测系统、瑞典分类学主干Dyntaxa,以及物种信息工具,包括特征、术语、质量保证和物种鉴定。*1内容可供科学家、环保人士和公众使用。所有系统、数据库、api和web应用程序都依赖于公认的标准来确保互操作性。SSIC是瑞典生物多样性数据基础设施(SBDI)的主要合作伙伴。在这里,我们展示了一个数据流(图1),它举例说明了加强研究、社区、非政府组织(ngo)、公民科学和政府机构之间的合作和经验转移,并提出了当前数据挑战(例如,数据碎片化、分类问题或平台关系)的解决方案。这一数据流旨在促进评估和了解物种(例如外来入侵物种)的分布和传播过程。它提供可查找、可访问、可互操作和可重复使用(FAIR)的数据,并在大学、非政府组织、县行政委员会(cab)和环境保护机构(EPAs)等不同各方之间链接相关信息。数字结构建立在瑞典国家分类学主干Dyntaxa上,它可以防止由于分类学问题而导致的数据碎片,并作为所有用户的通用标准。信息链包含报告观察结果的系统、工具和相关联的数据流、核查程序,并可作为监测某些物种的预警系统。在报告观察结果后,可启动警报,开展现场检查,并在必要时启动根除措施。传统上专注于物种鉴定质量的验证工具得到了改进,提供了地理精度的验证。这对根除行动和物种准确性同样重要。虫害防治中心正在使用一份根除方法的数字目录,但也有关于供“公众”使用的方法的建议,并且目前正在发展区域虫害防治中心外来入侵物种协调员之间的合作。cab有一个单独的工具来记录根除措施,如果/当cab采取措施时,这些信息可以从cab工具反馈到SSIC的数据库中,在那里可以搜索和可视化这些信息。随着时间的推移,分类学的完整性应该是完整的,并且与Dyntaxa提供的分类单元标识符(ID)相关。但是,在根据国际会计准则第1143/2014号条例(欧盟)进行报告时,将充分使用元数据,如地理位置、日期、核查状态、缓解结果等。数字结构的开发是与瑞典环境保护局(naturv rdsverket)和瑞典海洋和水管理署(Havs-och Vattenmyndigheten)合作进行的。
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Practice, Pathways and Lessons Learned from Building a Digital Data Flow with Tools: Focusing on alien invasive species, from occurrence via measures to documentation
The SLU Swedish Species Information Centre (SSIC, SLU Artdatabanken) accumulates, analyses and disseminates information concerning species and habitats occurring in Sweden. The SSIC provides an open access biodiversity reporting and analysis infrastructure including the Swedish Species Observation System, the Swedish taxonomic backbone Dyntaxa, and tools for species information including traits, terminology, quality assurance and species identification.*1 The content is available to scientists, conservationists and the public. All systems, databases, APIs and web applications, rely on recognized standards to ensure interoperability. The SSIC is a leading partner within the Swedish Biodiversity Data Infrastructure (SBDI). Here we present a data flow (Fig. 1) that exemplifies the strengthening of the cooperation and transfer of experiences between research, community, non-governmental organizations (NGOs), citizen science and governmental agencies, and also presents solutions to current data challenges (e.g., data fragmentation, taxonomic issues or platform relations). This data flow aimed to facilitate the process for evaluating and understanding the distribution and spread of species (e.g., invasive alien species). It provides Findable, Accessible, Interoperable and Reusable (FAIR) data and links related information between different parties such as universities, NGOs, county administrative boards (CABs) and environmental protection agencies (EPAs). The digital structure is built on the national Swedish taxonomic backbone Dyntaxa, which prevents data fragmentation due to taxonomic issues and acts as a common standard for all users. The chain of information contains systems, tools and a linked data flow for reporting observations, verification procedures, and it can work as an early warning system for surveillance regarding certain species. After an observation is reported, an alert can be activated, field checks can be carried out, and if necessary, eradication measures can be activated. The verification tool that traditionally has been focused on the quality of species identification has been improved, providing verification of geographic precision. This is equally important for eradication actions as is species accuracy. A digital catalogue of eradication methods is in use by the CABs but there are also recommendations on methods for ‘public’ use, and collaboration between Invasive Alien Species (IAS) coordinators in regional CABs is currently being developed. The CABs have a separate tool for documentation of eradication measures and, if/when measures are carried out (by CABs), this information can be fed back from the CAB-tool into the database in SSIC where it is possible to search for, and visualize, this information. Taxonomic integrity over time should be intact and related to the taxon identifier (ID) provided by Dyntaxa. However, metadata, such as geographic position, date, verification status, mitigation results, etc., will be fully used when reporting under the IAS Regulation 1143/2014 (EU). The development of the digital structure is a collaboration with the Swedish Environmental Protection Agency (Naturvårdsverket) and the Swedish Agency for Marine and Water Management (Havs-och Vattenmyndigheten).
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