Modern Approaches to the Monitoring of BiOdiversity (MAMBO)

生物多样性监测的现代方法 (MAMBO)

• 批准号: 10039023
• 金额: $ 74.02万
• 依托单位: UNIVERSITY OF READING
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10039023
• 关键词: Modern; Approaches; Monitoring; BiOdiversity; MAMBO

EU policies, such as the EU biodiversity strategy 2030 and the Birds and Habitats Directives, demand unbiased, integrated and regularly updated biodiversity and ecosystem service data. However, efforts to monitor wildlife and other species groups are spatially and temporally fragmented, taxonomically biased, and lack integration in Europe. To bridge this gap, the MAMBO project will develop, test and implement enabling tools for monitoring conservation status and ecological requirements of species and habitats for which knowledge gaps still exist. MAMBO brings together the technical expertise of computer science, remote sensing, social science expertise on human-technology interactions, environmental economy, and citizen science, with the biological expertise on species, ecology, and conservation biology. MAMBO is built around stakeholder engagement and knowledge exchange (WP1) and the integration of new technology with existing research infrastructures (WP2). MAMBO will develop, test, and demonstrate new tools for monitoring species (WP3) and habitats (WP4) in a co-design process to create novel standards for species and habitat monitoring across the EU and beyond. MAMBO will work with stakeholders to identify user and policy needs for biodiversity monitoring and investigate the requirements for setting up a virtual lab to automate workflow deployment and efficient computing of the vast data streams (from on the ground sensors, and remote sensing) required to improve monitoring activities across Europe (WP4). Together with stakeholders, MAMBO will assess these new tools at demonstration sites distributed across Europe (WP5) to identify bottlenecks, analyze the cost-effectiveness of different tools, integrate data streams and upscale results (WP6). This will feed into the co-design of future, improved and more cost-effective monitoring schemes for species and habitats using novel technologies (WP7), and thus lead to a better management of protected sites and species.

欧盟政策，例如《2030 年欧盟生物多样性战略》和《鸟类与栖息地指令》，要求提供公正、综合且定期更新的生物多样性和生态系统服务数据。然而，欧洲对野生动物和其他物种群体的监测工作在空间和时间上都是分散的，在分类学上存在偏差，并且缺乏整合。为了弥补这一差距，MAMBO 项目将开发、测试和实施有利的工具，用于监测仍然存在知识差距的物种和栖息地的保护状况和生态要求。 MAMBO 汇集了计算机科学、遥感、人类技术相互作用、环境经济和公民科学方面的社会科学专业知识，以及物种、生态学和保护生物学方面的生物学专业知识。 MAMBO 围绕利益相关者参与和知识交流 (WP1) 以及新技术与现有研究基础设施的集成 (WP2) 构建。 MAMBO 将在共同设计过程中开发、测试和演示用于监测物种 (WP3) 和栖息地 (WP4) 的新工具，从而为整个欧盟及其他地区的物种和栖息地监测制定新标准。 MAMBO 将与利益相关者合作，确定用户和政策对生物多样性监测的需求，并调查建立虚拟实验室的要求，以自动化工作流程部署和有效计算改善整个欧洲监测活动所需的大量数据流（来自地面传感器和遥感）（WP4）。 MAMBO 将与利益相关者一起在欧洲各地的演示站点（WP5）评估这些新工具，以识别瓶颈，分析不同工具的成本效益，整合数据流和升级结果（WP6）。这将有助于利用新技术（WP7）共同设计未来的、改进的和更具成本效益的物种和栖息地监测计划，从而更好地管理受保护的地点和物种。