Towards Improved Data Flows for the Management of Invasive Alien Species and Wildlife: A LIFE RIPARIAS use case

Lien Reyserhove, Pieter Huybrechts, J. Hillaert, T. Adriaens, B. D'hondt, Damiano Oldoni
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Abstract

Invasive alien species (IAS) are recognised as a major threat to biodiversity. To prevent the introduction and spread of IAS, the European Union Regulation (EU) 1143/2014 imposes an obligation on Member States to both develop management strategies for IAS of Union Concern and report on those interventions. For this, we need to collect and combine management data and streamline management actions. This is still a major challenge: the landscape of IAS management is diverse and includes different authorities, managers, businesses and non-governmental organizations. Some organizations have developed their own specific software applications for recording management actions. For other organizations, such a software system is lacking. Their management data are scattered, not harmonized, and often not openly available. For EU reporting, a workflow is needed to centralize all information about the applied management method, management effort, cost, effectiveness and impact of the performed actions on other biota or the environment. At this moment, such a workflow is lacking in Belgium. One of the aims of the LIFE RIPARIAS project is to set up a workflow for harmonizing IAS management data in Belgium. Based on the input from the IAS management community in Belgium, we were able to: draft a community-driven data model and exchange format called manIAS (MANagement of Invasive Alien Species, Reyserhove et al. 2022), and identify the minimal requirements a software application should have for being successfully used in the field (Hillaert et al. 2022). draft a community-driven data model and exchange format called manIAS (MANagement of Invasive Alien Species, Reyserhove et al. 2022), and identify the minimal requirements a software application should have for being successfully used in the field (Hillaert et al. 2022). In this presentation, we will explore both outputs, the lessons learned and the way forward. With our work, we aim to facilitate coordination and transfer of information between the different actors involved in IAS and wildlife management, not only on a Belgian scale, but also within an international context.
改进外来入侵物种和野生动物管理的数据流:一个LIFE RIPARIAS用例
外来入侵物种(IAS)被认为是生物多样性的主要威胁。为了防止国际会计准则的引入和传播,欧盟法规(EU) 1143/2014规定成员国有义务为欧盟关注的国际会计准则制定管理战略,并报告这些干预措施。为此,我们需要收集和整合管理数据,简化管理操作。这仍然是一项重大挑战:国际会计准则的管理情况是多种多样的,包括不同的当局、管理人员、企业和非政府组织。一些组织已经开发了自己的特定软件应用程序来记录管理行为。对于其他组织来说,这样的软件系统是缺乏的。他们的管理数据是分散的,不协调的,而且往往不能公开获得。对于欧盟报告,需要一个工作流来集中所有关于应用的管理方法、管理努力、成本、有效性和所执行的行动对其他生物群或环境的影响的信息。目前,这样的工作流程在比利时是缺乏的。LIFE RIPARIAS项目的目标之一是建立一个工作流程,以协调比利时的IAS管理数据。基于来自比利时IAS管理社区的输入,我们能够:起草一个名为manIAS(入侵外来物种管理,Reyserhove等人,2022)的社区驱动数据模型和交换格式,并确定软件应用程序在该领域成功使用的最低要求(Hillaert等人,2022)。起草一个社区驱动的数据模型和交换格式,称为manIAS(外来入侵物种管理,Reyserhove等人,2022),并确定软件应用程序在该领域成功使用的最低要求(Hillaert等人,2022)。在本次演讲中,我们将探讨这两方面的成果、吸取的教训和前进的道路。通过我们的工作,我们的目标是促进国际生物多样性公约和野生动物管理的不同参与者之间的协调和信息传递,不仅在比利时范围内,而且在国际范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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